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    RESPONSIBILITIES

    Job Summary:
    There is an immediate opening for a Bioinformatics Specialist in the Bioinformatics Core Facility at the La Jolla Institute of Allergy and Immunology (LJI). The position involves primarily running and maintaining the customized next-generation sequencing pipelines at the Institute. Pipelines have been created using open source tools for mapping and differential coverage analysis of various NGS datasets (RNA-seq, ChIP-Seq, shRNA, etc.). The candidate's main responsibilities will include running new datasets through these pipelines as they come off of our in-house Illumina sequencers, performing basic quality controls, and debugging errors when necessary. Results will need to be conveyed to the principal researcher. With demonstrated abilities, the candidate will also have the opportunity to contribute new code to the pipelines and/or develop novel analyses. Although the primary responsibilities relate to NGS data, there will be numerous opportunities to work with various other data types as well. The candidate should, therefore have excellent oral and written communication skills, be comfortable with dealing with a variety of data types, be familiar with standard bioinformatics practices and databases, and have a solid understanding of statistics for biology.

    REQUIREMENTS

    Leveling Requirements:
    The successful candidate will be able to thrive in a fast-paced environment, understand priorities, complete tasks in a timely manner, and communicate effectively with non-bioinformatics staff. If the interest and ability are demonstrated, the candidate will have the opportunity to contribute to academic publications at LJI.

    This is an excellent opportunity to gain experience working with large-scale, next-generation sequencing datasets and directly contribute to projects aiming to improve human health.

    Education and experience:
    • B.S. or Masters in Bioinformatics or related field with demonstrated programming experience
    • 1-2 years experience working with NGS datasets in a production setting preferred
    Skills:
    • Familiarity with standard bioinformatics practices and databases
    • Experience with next-generation sequencing datasets and tools
    • Programming experience in at least two of the following languages: Perl, Python, Java, C, C++, R, Bash
    • Experience using a HPC
    • Familiar with programming best practices (e.g., revision control, testing, etc.)
    • Ability to consistently meet deadlines

    HOW TO APPLY

    Applicants should send their resume and cover letter enclosed within a single document to be considered. Please apply here: www.lji.org/care[...]list/

    BACKGROUND
    Two positions (Postdoctoral Fellow / Research Associate) are available in the areas of Bioinformatics and Metabolomics

    REQUIREMENTS
    PhD or MSc degree in bioinformatics, computing science, data science, or analytical chemistry with bioinformatics training. At least one of the following criteria must be met:
    • Strong experience in using R for statistics and machine learning
    • Strong experience in web-based technologies, databases and data visualization
    • Familiarity with MS-based metabolomics
    LOCALE
    Montreal, Quebec, Canada

    COMPENSATION
    Starting salary: $47,500 CAN per year, for two years. Renewable for two more years based on performance.

    HOW TO APPLY
    To apply, submit research statement (1-2 pages, demonstrating fit with the position) and curriculum vitae (max 5 pages, outlining research excellence & capacity in bioinformatics) to Dr. Xia (jeff.xia[at]mcgill.ca).

    DEADLINE
    Applications will be reviewed immediately until the positions are filled, but no later than Oct. 1, 2017.

    BACKGROUND

    Are you experienced in setting up and maintaining biological and health data-warehouses interfacing with various public or restricted databases, and interested in research data and workflow management systems? Do you work with user-interfaces for clinicians to use genomic / Next Generation Sequencing (NGS) data results as well as aid in policy for handling sensitive data, and setting high IT safety standards? Are you ready to engage in supporting Big Data scientific research in a high profile research institute?

    The Department of Bio and Health Informatics at the Technical University of Denmark (DTU Bioinformatics) is seeking a highly skilled Database Architect and scientific computing programmer. The position is available immediately with possibilities to negotiate the start date for the right candidate.

    The department offers an eclectic highly international environment of diverse and dynamic scientific researchers, working with diverse sets of biological data with activities spanning Health, Biotechnology, and Artificial Intelligence, and is one of the largest and permanent stakeholders of the national life science and biomedical super-computing center – Computerome. The department's DTU Multi-Assay Core (DMAC) facility provides access to molecular biology and sequencing labs. The department is actively participating in national personalized medicine initiatives through our core infrastructures (Computerome and DMAC) as well as highly skilled researchers in this area.

    RESPONSIBILITIES

    As Database Architect / Manager, you will be an important member of the administrative team. You will refer directly to the Head of Department – but cooperate closely with the department's researchers.

    Primary areas of responsibility:
    Your main responsibility will be to maintain the clinical, biological and genomic data-warehouse (currently 10 TB with 894 schemata and 82811 tables) and secure that various public or restricted databases are updated regularly on legacy infrastructure. As senior Data Architect and Manager, you will interface with scientists to assist with data design and help with workflow management. You will have responsibilities to handle DTU Bioinformatics software architecture and user interfaces, custom web servers, data modeling and database design.

    You will maintain and build up the data management systems in close cooperation with the management team, ensure implantation of the systems, and have a high degree of involvement with all scientists and administrative personnel at DTU Bioinformatics.

    In close collaboration with Data Architects / Managers from DTU corporate IT, you will set up data classification and data management systems that are well secured, thereby, contributing to an important part of DTU Bioinformatics' development.

    In Data Management Operations, the Data Architect / Manager is primarily responsible for the coordination and timely set-up of our research data management systems in accordance with DTU corporate IT and Public Health security standards.

    REQUIREMENTS

    This requires a good understanding of IT systems, data risks, security and encryption, and working with complex IT processes. DTU Bioinformatics aims to both receive and deliver data of the highest quality to our stakeholders, and our results are normally achieved through collaboration with hospitals, biotech (genotyping and next-generation sequencing) laboratories, animal/aqua/veterinary/food/microbial research institutes, universities and public organizations.

    The job of a Database Architect / Manager therefore also requires strong IT project management skills. Our stakeholders are depending on our ability to manage complex and critical communication in a timely manner.

    Our expectations of you:
    You have at least an M.Sc. or preferably a Ph.D. in computer science, software engineering or in bioinformatics or a related discipline. Relevant experience in dealing with data domains and software in the bioinformatics area is preferred. A strong working knowledge of health informatics, genomics and molecular biology would be an asset.

    You have excellent overview, presentation and coordination skills. In addition, strong proficiency in English, strong cooperation, and analytical skills are a necessity. You are capable of working independently, take on responsibility, show initiative and work in an international academic work environment. We expect you to be able to oversee several tasks simultaneously without compromising the quality of your work and that you remain in high spirits, also when working at a high tempo. Strong people skills are necessary for the interfaces with scientists, corporate IT-security and regional policy makers.

    Furthermore, we expect our new Database Architect / Manager to have experiences in as many of the specific skills as possible in the list below:
    • Systems: SuSE, CentOS, SELinux, NFS, NIS, Bash scripting. Network Administration: HP, Cisco. Security; Firewalls, DMZ, ISO 27001. Web Administration: Apache. Monitoring: Centreon, Nagios, SNMP. Virtualization: VMWare, VirtualBox, Docker, Virtualizing hardware
    • Relational database (MySQL/MariaDB) - Database setup and Query optimization
    • Data architect; Analysis, Migration, Modeling, Database Design
    • C, C++/STL, Perl, Python, Bash, XML, XSD, SOAP, Flat-file parsing
    • Integrating data in applications
    Experience in machine-learning setups is a clear advantage in the rapidly growing areas of Big Data in life sciences, as is skills with human-computer interfaces, but above all, a passion for working in a dynamic area empowering scientists to deliver on ambitious life sciences goals.

    LOCALE

    Place of employment will be at DTU Lyngby Campus, DTU Bioinformatics.

    COMPENSATION

    What we offer in return:
    We offer an interesting and challenging job in an international atmosphere with the focus on research, teaching, innovation and scientific advice for the benefit of the surrounding community. We place emphasis on a high level of professionalism among our staff, so skills development is an integral part of our organization. We offer a great flexibility in the position. In the area of technical and natural sciences, DTU is one of the leading research and education institutions in Europe.

    Salary and appointment terms:
    The appointment will be based on the collective agreement with the Confederation of Professional Associations (AC) or another relevant union. The allowance will be agreed with the relevant union.

    ABOUT US

    DTU Bio and Health informatics (www.bioinformatics.dtu.dk/english) is operating at the highest level of research, teaching, innovation, and consultancy services within the areas biotechnological informatics, health informatics and integrative systems genomics/biology. The department's activities in the fields of research, teaching, scientific advice, and innovation are centered on the following research areas: health, cancer, obesity/diabetes, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, animal, plant & microbial genomics and biotechnology and big data infrastructure.

    DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

    HOW TO APPLY

    Application and contact:
    You can apply for the position online at www.career.dtu.dk. Open the "Apply online" link, fill out the form and attach your motivated application, CV and exam certificates.

    If you would like additional information about the position, please contact Head of Department, Professor Haja Kadarmideen, at +45 4525 6161 or depthead_bioinformatics[at]dtu.dk

    DEADLINE

    Please submit your online application no later than Tuesday 1 August 2017.

    POLICY

    All interested candidates, irrespective of age, gender, race, disability, religion or ethnic background, are encouraged to apply.

    BACKGROUND

    The Boston University Section of Preventive Medicine and Epidemiology is seeking candidates for its T32 Training Grant in Cardiovascular Epidemiology awarded by the National Heart, Lung, and Blood Institute. Trainees will focus their 2-year training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.

    RESPONSIBILITIES

    The successful candidate will participate in training activities including pathway-specific coursework and workshops, as well as individual professional development plan workshops, one-on-one professional counseling and career planning, grant writing workshops, research seminars, journal internships, and working on research projects with a Boston University senior investigator on longitudinal epidemiological studies such as Framingham Heart Study, Long Life Family Study and other cohort studies. All trainees will be supervised by their assigned faculty mentor as well as by the program's co-directors for progress evaluation.

    REQUIREMENTS

    1. US Citizen or green card holder
    2. a) Ph.D. degree in Biostatistics, Epidemiology, Computational Biology, Bioinformatics, Genetics and Genomics or related field and programming skills (SAS and/or R preferred) or b) MD degree

    LOCALE

    Boston, MA

    HOW TO APPLY

    Interested candidates should send the following materials to CvEpiT32[at]bu.edu:
    • Cover letter indicating reason for applying to this training program
    • Curriculum vitae
    • 2 recommendation letters
    For more information, please contact:
    • Ramachandran S. Vasan (vasan[at]bu.edu) or Vanessa Xanthakis (vanessax[at]bu.edu) if you are interested in the clinical epidemiology pathway
    • Paola Sebastiani (sebas[at]bu.edu) if you are interested in the Statistical Genetics and Genomics or the Bioinformatics and Computational Biology pathway

    POLICY

    Boston University is an equal opportunity employer. Under-represented minorities are strongly encouraged to apply.

    BACKGROUND

    A highly motivated Bioinformatician is required, to investigate genomic datasets from defined projects carried out by our team. The appointment grade will be commensurate to the successful applicant's expertise.

    Our Group studies the pathogenesis and treatment of haematological cancers with an emphasis on myeloid leukaemias. We work towards this through a number of complementary approaches including the analysis of human normal and leukaemia samples, the identification of therapeutic vulnerabilities of leukaemia cells using CRISPR-Cas9 screens and the study of bespoke mouse and cellular models of leukaemia-associated gene mutations. Our overarching aim is to improve the survival and quality of life of patients with leukaemia and related cancers.

    This is a new position that has been created to provide both day-to-day support and strategic direction for the bioinformatic needs of our Group. This will involve the exploration of genomic datasets generated by our studies including DNA and methylome sequencing, RNA-seq/splicing, ChIP-Seq, single cell genomics and analysis of CRISPR-Cas9 screens. Working closely with our computational and wet lab scientists, as well as the extended Cancer Programme (www.sanger.ac.uk/scie[...]omics), the successful candidate will be responsible for the analysis, integration and visualisation of these datasets and will be able to harness the extensive expertise already available at the Sanger Institute for such analyses. A highly motivated individual will also be given the opportunity to pursue their own independent project in the field of leukaemia and/or related disorders.

    Whilst direct expertise in such studies/analyses is desirable, enthusiasm, rigour and intellectual curiosity are more important for this role. Additional, the post holder will be responsive and reactive to the needs of their role/work, hands-on and able to instruct others in the use of simple command line skills for routine tasks. It is also envisaged that, as the role develops, the successful candidate will be given the opportunity to supervise visiting bioinformaticians or co-supervise MPhil students from the University of Cambridge or elsewhere.

    REQUIREMENTS

    • PhD or equivalent expertise in a relevant subject area (e.g. Computational Biology, Population Genetics/Genomics, Computer Science, Physics, Mathematics or similar)
    • Enthusiasm, intellectual curiosity and rigour
    • Proficiency in one or more scripting languages (e.g. C, C++, Perl, Python, Java)
    • Strong statistical and quantitative skills
    • Ability to manage own projects
    • Ability to work independently, organise own workload and meet tight deadlines
    • Ability to communicate ideas and results effectively
    • Ability to work within a team

    PREFERENCES

    • Experience in genomics and sequencing data acquisition methods
    • Good publication record
    • Experience of developing software systems
    • Track record of delivering complex informatics projects
    • Knowledge and experience of UNIX/Linux and cluster computing
    • Experience in presenting data to outside groups or at national/international meetings
    • Experience in supervising others

    COMPENSATION

    Salary £31,498 to £39,729 per annum depending on experience (Senior Bioinformatician)

    Salary £24,589 to £30,995 per annum depending on experience (Bioinformatician)

    Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

    HOW TO APPLY

    Click on the following link: jobs.sanger.ac.uk/wd/p[...]17813

    DEADLINE

    15th July 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline

    POLICY

    Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

    BACKGROUND

    Multinational biopharmaceutical company Celgene, world leader in developing new treatments for cancer and inflammatory diseases, has established the Celgene Institute for Translational Research Europe (CITRE®) in Seville, Spain. CITRE is the company's first dedicated R&D site outside the USA and provides a bridge between Celgene R&D and the European research community.

    CITRE was founded in 2010, and laboratory research activities began in June 2011. The Institute now houses a team of highly qualified scientific research and administrative staff drawn from Spain and other European member states. The Institute is located in the Cartuja `93 Science and Technology Park and its activities focus on Translational Research into new treatments for cancer and other rare and complex diseases.

    Scientific activities at CITRE comprise three main departments: The Human Diseased Tissue Laboratory (HDTL), the Computational Biology research group, and the Clinical Trials Unit. Onsite facilities include extensive cell culture, flow cytometry, microscopy, genomics, immunohistochemistry, and state-of-the-art computational analysis infrastructure for biomarker discovery and patient stratification.

    The three groups are inter-linked by the CITRE tissue Biobank, which receives patient tissue samples, obtained from multi-centre Celgene trials managed by the CITRE Clinical Trials Unit in Spain and across Europe, to provide the basis for inter-disciplinary research into biomarker detection, patient selection criteria, and compound mechanisms of action.

    Together, these components form a Translational Research centre which coordinates and conducts Celgene medical research in Europe, and enables rapid and effective transfer of new developments and discoveries at Celgene to EU patients. Furthermore, CITRE provides a focal point in Europe for collaborative translational research into cancer and inflammatory diseases, with a mission to rapidly deliver new Celgene compounds to the clinic.

    RESPONSIBILITIES

    We seek a talented computational scientist to specialize in the analysis and interpretation of high-throughput assay data to elucidate the mode of action of compounds and the molecular basis of drug sensitivity and resistance. The insight gained will contribute directly to identification and development of novel therapies for complex diseases of unmet medical need.

    The position would suit a post-doctoral level researcher, looking to bridge the gap between academic and industrial research. We are looking for strong previous experience in omics data analysis, integration and interpretation, as well as a demonstrated ability to derive mechanistic insight through advanced analysis methods.

    The CITRE Computational Research group focuses on the application and development of computational analysis methods to improve therapeutic outcomes for Celgene patient populations across a range of diseases. This position would involve considerable inter-disciplinary collaboration with colleagues across Celgene Research and academic collaborators.

    Responsibilities include, but are not limited to:
    • Perform computational analysis for exploration and interpretation of various types of high-throughput molecular profiling data, including single-cell approaches.
    • Develop and implement state-of-the-art approaches for biological pathway and network analysis to elucidate perturbation of cellular processes and patient molecular phenotypes.
    • Assist in defining and implementing best practices for resource usage, version control, code and knowledge sharing.
    • Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required.
    • Participate in wider group endeavors concerning the elucidation of compound mechanisms of action, drug resistance and prediction of target indications.

    REQUIREMENTS

    • PhD in computational biology / bioinformatics, statistics, computer science or related fields, with a firm grasp of genomics and/or genetics, from a recognized higher-education establishment
    • Prior experience (3+ years) in analysis and interpretation of -omics data in academic or scientific research scenarios, supported by high-quality publications
    • Familiarity with protein interaction/regulatory network collections and network/pathway based analysis methods. Experience with single-cell profiling approaches an advantage
    • Ability to understand and communicate the output of computational biology research to multi-disciplinary scientific teams
    • Expertise in Linux, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, plus good knowledge of contemporary database structures
    • Experience with version control and high performance computing, including cloud computing (e.g. AWS) and cloud HPC
    • Verbal and written English language fluency. Proficiency in Spanish would be advantageous.

    TERMS

    Manager: Principal Scientist, Research Analytics (RIKU)
    Contract: Fixed-term, 2 year duration, full-time

    LOCALE

    CITRE, Seville, Spain

    HOW TO APPLY

    Those interested in the position described should submit full CV and cover letter addressed to:

    Ana Sanchez (asanchezrodriguez[at]celgene.com)
    CELGENE S.L.
    Paseo de Recoletos 39, 4º
    28004 MADRID

    By sending your application you acknowledge that the information you provide to Celgene will be stored in a database which is the property of Celgene, for the purposes of processing this information. This information may be shared with Celgene affiliates and agents, including Celgene's parent company based in the USA (Celgene Corporation). You understand that you have the right of access to and the right to rectify the data concerning me, according to applicable privacy laws. You understand that these rights can be exercised by sending an email to the following address: privacy[at]celgene.com, and that more information can be found on the privacy policy located on Celgene's web site, www.celgene.com/util[...].aspx.

    DESCRIPTION

    We are recruiting an ambitious bioinformatics postdoc for a collaboration project that seeks to revolutionize cancer therapy by targeted, drug-induced degradation of important regulatory protein complexes. The project combines the expertise of two labs at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, integrating large-scale data generation using cutting-edge technologies (chemical biology, epigenome sequencing, single-cell screening, mass spectrometry, imaging, etc.) with a deep interest in bioinformatics methods development and applications in systems medicine.

    The Project:
    We pursue a systems-level understanding of gene regulation in leukemia, combining novel chemical biology, functional genetic screens, and cutting-edge sequencing technology. Using a powerful method for degrading any protein of choice in a matter of minutes (Winter et al. 2015 Science, Erb et al. 2017 Nature), we will induce specific perturbations of gene regulation in leukemia cells, and we will monitor the cellular responses using high-throughput assays such as PRO-seq, ATAC-seq, ChIPmentation, and single-cell transcriptome sequencing. Based on these data, the successful candidate will establish regulatory network models using causal modeling techniques, which will provide the basis for further functional validations and for the identification of potential drug targets. In summary, the project will combine computational and experimental methods to establish a model of cell state deregulation in leukemia and to provide a rationale for pharmacologic degradation in cancer therapy.

    The Candidate:
    We are looking for highly motivated and academically outstanding candidates who want to pursue a scientific career in the fields of computational biology and/or functional (epi-)genomics. A strong candidate may have a background in the computational sciences (bioinformatics, statistics, physics, engineering, etc.) and some prior experience with collaborative research in high-throughput biology. In the same way, we are considering applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing systems medicine projects. In this position you will work together with two laboratories and researchers of two different groups. This dual function requires excellent team player skills and a collaborative mindset as well as the ability to work independently.

    Bock Lab (epigenomics.cemm.oeaw.ac.at):
    The Medical Epigenomics Lab at CeMM pursues an interdisciplinary and highly collaborative research program aimed at understanding the cancer epigenome and establishing its utility for precision medicine. Led by Christoph Bock – a computational biologist, ERC grantee, and recipient of the Overton Prize of the International Society of Computational Biology (2017) – the lab pursues several lines of research:
    • Epigenomics. Many diseases show widespread deregulation of epigenetic cell states. As members of the International Human Epigenome Consortium, we use epigenome sequencing to dissect the epigenetic basis of cancer and immune disorders.
    • Technology. Groundbreaking biomedical research is often driven by new technologies. Our lab is therefore heavily invested into technology development, including single-cell sequencing, CRISPR screens, and epigenome editing.
    • Bioinformatics. New algorithms and advanced computational methods allow us to infer epigenetic cell states from large datasets, in order to reconstruct the epigenetic landscape of cellular differentiation and complex diseases.
    • Diagnostics. New technologies (genome sequencing, mobile devices, etc.) provide important information for personalized medicine. We develop and validate assays and algorithms for translating the value of digital medicine into routine clinical practice.
    Winter Lab (epigenomics.cemm.oeaw.ac.at):
    The mission of our new lab at CeMM (started 2016) is to devise pharmacologic strategies to understand oncogenic gene regulation and to innovate novel therapeutic approaches to modulate transcriptional dysregulation in cancer. In particular, we are developing targeted protein degradation as a new paradigm to therapeutically disrupt, probe, and understand molecular machines involved in oncogenic transcription (Winter et al. 2015 Science, Erb et al. 2017 Nature). Targeted protein degradation allows elimination of proteins within minutes after ligand exposure, hence enabling us to derive mechanistic insights at an unprecedented kinetic resolution. We are combining such acute perturbations with genome-scale technologies that report on gene activity, genome structure and chromatin function in a quantitative fashion. We expect that our strategy uncovers a new level of a functional understanding of oncogenic transcription. Integrative analysis will enable us to model disease-relevant transcriptional circuits and gene-regulatory networks. This will rationalize novel therapeutic targets that are based on an unprecedented understanding of the transcriptional wiring of cancer cells.

    The Institute (www.cemm.at):
    CeMM is an international research institute of the Austrian Academy of Sciences and a founding member of EU-LIFE. It has an outstanding track record of top-notch science (last five years: >10 papers in Nature/Cell/Science/NEJM, >25 papers in Nature/Cell sister journals) and medical translation. With just over a hundred researchers, CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna's historical city center. A study by "The Scientist" placed CeMM among the top-5 best places to work in academia world-wide (the-scientist.com/2012[...]-2012). Vienna is frequently ranked the world's best city to live. It is a Unit-ed Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 different nationalities are represented at the institute. We are convinced that diversity and a multicultural work environment are clear advantages for successful research and are committed to attract, develop, and advance the most talented individuals regardless of their gender, race, sexual orientation, religion, age, disability status or any other dimension of diversity.

    HOW TO APPLY

    Please apply online (cemm.jobbase.io/job/rhnx3nsx) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis. Any application received by 15 August 2017 will be considered. Start dates are flexible.

    BACKGROUND

    We seek a talented and highly motivated post-doctoral scientist to lead new research on cancer mutations in the COSMIC team at the Sanger institute, Cambridge, UK.

    We are using bioinformatic techniques to characterise every genetic mutation across all forms of cancer, to define and understand the important genetic events which are creating disease. Ultimately, this is intended to identify and describe new targets for precision medicine development.

    RESPONSIBILITIES

    In this position you will take a leading scientific role in a new project aiming to describe every cancer mutation across multiple biological properties. We aim to take a very broad approach across millions of variants and hundreds of cancer disease types, to identify which variants act as drivers of disease, then correlate how they work together to cause disease. You will have the opportunity to characterise the biological features of every mutation in cancer, defining what might make them drive cancer. You will be aiming to compose a unique set of bioinformatic resources, generated from existing systems and databases, as well as new ones created by you, to identify key features across somatic cancer variation, primarily focused on annotating the COSMIC database.

    Working in the COSMIC team, the world's largest and most detailed database of cancer mutations will be available to you. Within the broader Sanger Institute, you will have access to global specialists in genomics with decades of experience discovering new disease genes. In addition, this information is vital for use in pharmaceutical and clinical applications, so we have partnered with AstraZeneca on this project, working closely with their Oncology division; your research will therefore impact directly on the discovery and development of new precision medicines.

    We anticipate this project will create a major new resource to discover and understand new targets in cancer genetics, and your research can ultimately have an impact on the clinical treatment of cancer patients when they reach hospital. You will also have substantial opportunities to learn more about precision oncology, and how pharmaceutical development works. We also anticipate several high-impact publication opportunities from the research you drive, focused around data annotation and exploration, biomarker discovery along with novel bioinformatic methods you may develop.

    REQUIREMENTS

    • PhD in Genetics or Bioinformatics discipline
    • Knowledge and experience of cancer genetics
    • Highly self-motivated, able to pursue independent research
    • Data handling skills
    • Strong computational and/or statistical experience

    PREFERENCES

    • Good communication and presentation skills
    • Experience of developing software for scientific research
    • Experience of relational databases

    COMPENSATION

    From £31,498 to £39,729 per annum plus excellent benefits.

    Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

    ABOUT US

    COSMIC – the Catalogue Of Somatic Mutations In Cancer – is an expert-curated database describing the wide variety of genetic variations associated with all forms of human cancer. A key resource underpinning cancer genetic research, COSMIC provides large high-quality datasets, methods and graphics to scrutinise the genetics causing this disease, giving insights to pharmaceutical design and patient therapies. Built within the world-leading Sanger Institute (UK) to support global research, millions of mutations across thousands of diseases can be explored at cancer.sanger.ac.uk.

    The Wellcome Trust Sanger Institute operates at the forefront of genomics, sequencing and analyses targeting a wide range of genomes from single cell pathogens to higher vertebrates, with an emphasis on genomes relevant to human medicine and welfare. The Cancer Genome Project at the Institute has led the way in the systematic analysis of cancer genomes by using the human genome sequence and high throughput mutation detection techniques to identify somatically acquired sequence variants/mutations and hence identify genes critical in the development of human cancers (www.sanger.ac.uk).

    Campus Life: The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre. The Campus is also home to Wellcome Genome Campus Connecting Science. Connecting Science inspires new thinking, sparks conversation and supports learning by drawing on the ground-breaking research taking place on the Campus. Its mission is to enable everyone to explore genomic science and its impact on research, health and society. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops.

    HOW TO APPLY

    Click on the following link: jobs.sanger.ac.uk/wd/p[...]18087

    DEADLINE

    13th July 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

    POLICY

    Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

    BACKGROUND

    The Danish Stem Cell Center (DanStem) at Faculty of Health & Medical Sciences at the University of Copenhagen is looking for a Bioinformatician to join the DanStem Bioinformatic Group starting from August 2017 or upon specific agreement.

    DanStem comprises of two sections: The Novo Nordisk Foundation Section for Basic Stem Cell Biology that addresses basic research questions in stem cell and developmental biology (BasicStem). The Strategic Translational Stem Cell Research and Therapy (TransStem) Section that is focused on the translation of promising basic research results into new strategies and therapies to combat cancer and chronic diseases such as diabetes, Parkinson's disease and liver failure. Find more information about the Center at danstem.ku.dk

    RESPONSIBILITIES

    Job description:
    The offered position will provide bioinformatics support to our scientists, with focus on planning, processing, and analysing transcriptomic and epigenomic next-generation sequencing (NGS) data. The work involves analysis and integration of various "OMICS" datasets for solving complex scientific questions. Furthermore, the successful applicant is expected to contribute to the development of data analysis workflows and pipelines.

    See more at: candidate.hr-manager.net/Appl[...].dpuf

    REQUIREMENTS

    Your profile:
    • Candidates must hold a Master and/or PhD degree in computational biology/bioinformatics or similar relevant educational background and experience.
    • Proficiency in at least one of the scripting languages (Perl, Python, Shell) is required.
    • Knowledge of UNIX-like operating system, sound statistic and fluent programming skills in R/Bioconductor is essential.
    • At least two years of experience in the analysis of NGS data, particularly ChIP-seq, RNA-seq and microarray is recommended.
    • Experience in interdisciplinary collaborations or bioinformatics services will be an advantage.
    • Scientific understanding of molecular biology and genomics is beneficial.
    • Good English communication skills, both oral and written, are prerequisite for the successful candidate.

    TERMS & COMPENSATION

    We offer you:
    • Stimulating, challenging and multifaceted research environment
    • Possibility for continued education and training
    • Attractive employment conditions
    The employment has an initial duration until the end of 2020 with a possibility of extension. The employment is scheduled to start August 2017 or upon agreement with the chosen candidate.

    Salary, pension and terms of employment (as academic staff/AC-TAP) are in accordance with the provisions of the collective agreement between the Danish Government and AC (the Danish Confederation of Professional Associations). In addition to the basic salary a monthly contribution to a pension fund is added (17.1% of the salary).

    See more at: candidate.hr-manager.net/Appl[...].dpuf

    LOCALE

    The place of work is at DanStem, University of Copenhagen, Blegdamsvej 3B, Copenhagen.

    ABOUT US

    Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

    Founded in 1479, the University of Copenhagen is the oldest university in Denmark. It is among the largest universities in Scandinavia and is one of the highest ranking in Europe. The University's six faculties include Health and Medical Sciences, Humanities, Law, Science, Social Sciences and Theology www.ku.dk

    See more at: candidate.hr-manager.net/Appl[...].dpuf

    HOW TO APPLY

    Your application must include:
    • Motivation letter
    • Curriculum vitae incl. education, experience, previous employments, language skills and other relevant skills
    • Copy of diplomas/degree certificate(s)
    • Three letters of reference
    Questions:
    For further information about the position, please contact Associate Prof. Elisabetta Ferretti, elisabetta.ferretti[at]sund.ku.dk or
    Professor Palle Serup, palle.serup[at]sund.ku.dk

    Application:
    Your application must be submitted in English by clicking "Apply Now" below or via this advertisement found on employment.ku.dk

    Only applications received in time and consisting of the above listed documents will be considered.

    Applications and/or any material received after deadline will not be taken into consideration.

    Apply Now: candidate.hr-manager.net/Appl[...]=4638

    DEADLINE

    Application deadline: July 16th 2017

    POLICY

    The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.

    BACKGROUND

    A Postdoctoral / Instructor Level position as a Bioinformatics Scientist is open in the Department of Neurology at UMass Medical School. The candidate will be expected to lead efforts in extracting biological insights from patient orientated genomic datasets towards the discovery of novel genetic factors contributing to ALS and Parkinson's disease. The position will be based in the laboratory of John Landers, Ph.D., Professor of Neurology. Examples of such projects to be lead by the candidate can be found in (Nat. Genet. (2016) 48:1037) and (Neuron (2014) 84:324).

    RESPONSIBILITIES

    The specific duties of the position are as follows:
    1. To develop solutions and algorithms towards analyzing large-scale next-generation sequencing (NGS) data including whole genome and exome sequence data towards identifying novel genetic factors contributing to ALS and Parkinson's disease.
    2. To oversee one or more Bioinformatics Research Assistants towards maintain and improve to pipelines for the analysis of raw NGS toward identification and annotation of SNPs and structural variants. This includes quality control assessments, principal component analysis and incorporation of results into a database.
    3. To work with a Bioinformatics Research Assistant towards the maintenance and expansion of a web-based searchable SNP database.
    4. Work interactively with several large international consortiums towards these goals including presenting results at bi-annual meetings.
    5. Contribute in the preparation of scientific manuscripts, presentations and presentations of results or new tools at weekly lab meeting and bi-annually at department seminars.
    6. Work directly with PI towards the overall goals of the projects.
    7. Performs all other duties/responsibilities as directed.

    REQUIREMENTS

    • Ph.D. in Computer Science, Computational Biology, Biostatistics, Bioinformatics, Mathematics, or similar fields with 3+ years of programming experience.

    PREFERENCES

    • Direct experience with NGS data for the identification of SNPs and structural variants including using common NGS tools [e,g, BWA, GATK].
    • Extensive experience in population genetics and statistical analysis methods of analyzing large genomic data sets (exome sequencing, genome sequencing, SNP array) using cluster computing.
    • Strong background in statistics, database management systems (SQL required) and standard scripting languages (Linux, R, Python etc).
    • A demonstrated track record in disease gene mapping or the publication of methods for disease gene mapping is required with particular emphasis being placed on experience relating to rare variant interpretation.
    • Ability to work in a highly collaborative and intellectually challenging environment.
    • Must work independently.
    • Excellent oral and written communication skills.

    LOCALE

    UMass Medical School
    55 Lake Avenue
    Worcester, MA 01605

    HOW TO APPLY

    Applicants should submit 1) a cover letter highlighting key qualifications, current research activities and future research interests; 2) curriculum vitae with complete bibliography; 3) the names and contact information (including email addresses) of three references; 4) PDF copies of a maximum of three publications that provide evidence of relevant skills. This material should be emailed to:

    John.landers[at]umassmed.edu with "Bioinformatics Scientist Position" in the subject line.

    POLICY

    UMass Medical School is committed to being an equal opportunity and affirmative action employer and recognizes the power of a diverse community. We encourage applications from protected veterans, individuals with disabilities and those with varied experiences, perspectives and backgrounds to consider UMass Medical School as their employer of choice.

    BACKGROUND

    The Biotech Research and Innovation Centre (BRIC), a research centre of excellence, in collaboration with the Danish Stem Cell Center (DanStem) at the Faculty of Health and Medical Sciences, University of Copenhagen is seeking an outstanding scientist for a junior group leader position in Translational Bioinformatics.

    RESPONSIBILITIES

    Job description:
    The successful candidate will establish his/her own research group within the area of Translational Bioinformatics. In addition, the candidate will be responsible for bioinformatics analyses of sequencing data coming out of a newly established Program in Translational Hematology funded by a private Danish Foundation. We offer a competitive start-up package, which includes funding for analyzing data from the Program in Translational Hematology as well as funding for the group leader's independent research program. The position is tenure-track, and the first appointment will be for six years.

    See more at: candidate.hr-manager.net/Appl[...].dpuf

    The Junior group leader is expected to:
    • Perform research at an international high level
    • Show research leadership, including guidance and supervision of researchers
    • Share knowledge with the rest of society, including participation in public debate
    • Contribute to common activities at BRIC and DanStem such as seminars and PhD courses
    • Undertake a number of minor administrative duties
    See more at: candidate.hr-manager.net/Appl[...].dpuf

    REQUIREMENTS

    The successful applicant should be able to document:
    • A strong track-record in bioinformatics analysis, in particular of patient-derived genomics data, including expression, epigenetic analysis and mutational data.
    • Research leadership, including guidance and supervision of researchers
    • Willingness to share knowledge with the rest of society, including participation in public debate
    The associate professor is also required to possess good interpersonal and communicative skills.

    See more at: candidate.hr-manager.net/Appl[...].dpuf

    TERMS

    The employment will be as a tenure-track Associate Professor ("lektor") at BRIC, Faculty of Health and Medical Sciences, University of Copenhagen. The first appointment will be for six years. According to the Ministerial Circular and Protocol on Job Structure, appointment to the position of Associate Professor requires scientific qualifications of a PhD or equivalent scientific qualifications and documented scientific production at an international level.

    Salary, supplement, pension and terms of employment are set by agreement between the Danish Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Currently, the gross annual salary is around 75.000 € incl. supplement plus pension of 17.1%. Depending on qualifications, a higher salary may be negotiated. Non-Danish and Danish applicants may be eligible for tax reduction ("researcher tax"), if they have not lived in Denmark the past 10 years.

    See more at: candidate.hr-manager.net/Appl[...].dpuf

    ABOUT US

    Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

    HOW TO APPLY

    For further information please contact the Director of BRIC Kristian Helin kristian.helin[at]bric.ku.dk
    Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).

    The application must be submitted in English and must include the following:
    • Application, including reasons for applying for this position (max 2 pages)
    • Curriculum vitae, including list of publications
    • Diplomas – all relevant certificates
    • Research plan (3‐5 pages)
    • Publications to be considered in the assessment (max 5)
    Application procedure:
    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment. The Dean then appoints an expert assessment committee in order to make an assessment of the selected applicants for the specific post. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at jobportal.ku.dk.

    Please note that the applicant will be contacted if the assessment committee requires further documentation.

    The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

    The University of Copenhagen encourages all interested applicants to apply for this position.

    Please submit the application with the required attachments. Only online applications will be accepted.

    Apply online: candidate.hr-manager.net/Appl[...]=4638

    DEADLINE

    The closing date for applications is 23.59pm CET, July 10, 2017.

    BACKGROUND

    The Molecular Characterization Laboratory (MoCha) is part of Leidos Biomedical Research's Clinical Research Directorate (CRD) at the Frederick National Laboratory for Cancer Research. The MoCha Laboratory is responsible for providing high-level research in support of the NCI-Cancer Diagnostics Program (CDP) within the Division of Cancer Treatment and Diagnosis (DCTD). MoCha is charged with the development and application of genomic assays for use in medical research and diagnostics for DCTD-sponsored national extramural clinical trials.

    RESPONSIBILITIES

    • Provide substantial bioinformatics support for the MoCha clinical laboratory, including the analysis and interpretation of high throughput genomic data
    • Provide expertise in the biological interpretation of results, including mutation impact assessment, expression analysis, statistics support and prioritization of identified loci/genes lists, classification model building and determining correlation with clinical data derived from patients
    • Interact with investigators throughout the entire experimental process from study design to result interpretation including manuscript preparation
    • Provide support to lab staff in the application of basic data analysis and study design
    • Provide bioinformatics knowledge as a shared team resource
    • Maintain and track complex data for multiple projects
    • Work with lab managers to update genetic information in databases
    • Work closely with clinical lab staff to provide computation resources and to support data analysis and storage
    • Coordinate and integrate software applications and databases within the larger group including the Bethesda, Frederick, and Shady Grove NCI campuses

    REQUIREMENTS

    To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

    This is a dual level requisition. It may be filled at either a Bioinformatics Analyst II or Bioinformatics Analyst III level.

    Basic Qualifications for a Bioinformatics Analyst II:
    • Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a field related to biomedical science/bioinformatics/math/statistics/computer
    • Foreign degrees must be evaluated for U.S. equivalency
    • A minimum of two (2) years related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development
    Basic Qualifications for a Bioinformatics Analyst III:
    • Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a field related to biomedical science/bioinformatics/math/statistics/computer
    • Foreign degrees must be evaluated for U.S. equivalency
    • A minimum of five (5) years related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development
    Both the Bioinformatics Analyst II and III positions require:
    • Experience in next generation sequence analysis (NGS) including quality metrics, mapping, variant calling and biological interpretation, and experience with analysis of large genomic data sets including integration with data available from public or private sources.
    • Hands-on experience in data processing and analyzing sequencing, expression and other array data including quality and biological assessment are also essential.
    • Proficiency in Unix (Linux) system, scripting and programming languages such as Shell, R, Python, JavaScript, Perl, Java, SQL and bioinformatics tools and database management.
    • Statistical analysis of complex biological data
    • Experience and demonstrated success in a team-oriented environment and excellent communication skills (written and oral)
    • Strong organizational skills and information tracking experience for data with complex structure
    • Ability to identify and solve complex problems
    • Must be able to obtain and maintain a Security Clearance

    PREFERENCES

    Candidates with these desired skills will be given preferential consideration:
    • Peer reviewed publications demonstrating knowledge of the biology of cancer
    • Experience with Ion Torrent systems, including the Ion Reporter system
    • Experience in data integration, database construction, application development and visualization
    • Experience in porting applications to a web environment and working with workflow tools and applications

    TERMS

    Full Time

    LOCALE

    Frederick MD

    HOW TO APPLY

    Please visit jobs.leidos.com/Show[...]NCI)/

    BACKGROUND

    Science for Life Laboratory (SciLifeLab, www.scilifelab.se) in Sweden serves as a national infrastructure to support advanced high-throughput life science research. SciLifeLab is based in Stockholm/Uppsala, but also has satellite nodes at other universities across Sweden, and is currently one of the major life science research establishments in Europe.

    The National Bioinformatics Infrastructure Sweden at SciLifeLab (www.nbis.se) is a large national infrastructure in rapid development providing support, tools and training to the Swedish life science research community. We are now looking for a new member to join the Bioinformatics Long-term Support team (a.k.a WABI), with more than 20 senior bioinformaticians located at SciLifeLab nodes across Sweden. The position will be placed at the Department of Molecular Biology at Umeå University, with start July 2017 or by agreement.

    The Bioinformatics Long-term Support team provides advanced bioinformatics analyses to some of the most scientifically exciting projects across Sweden. Launched in the beginning of 2013, the team currently comprises more than 20 full-time senior bioinformaticians, and constitutes one of the strongest units for analysis of large-scale genomics and integrative omics data in Sweden. Examples of supported scientific areas range from translational medicine and complex diseases, to evolutionary and environmental research.

    RESPONSIBILITIES

    The bioinformatics scientist will:
    • Provide advanced bioinformatics support to nationally prioritized projects
    • Develop and implement tools and resources for the research community
    • Provide and promote local and national training and networking
    • Take part in the continuous development and improvement of the bioinformatics support at a national level

    REQUIREMENTS

    The successful candidate should have a PhD or similar relevant working experience from advanced studies within bioinformatics, either within academia or industry. The candidate should be fluent oral and written communication skills in English, and have strong skills in cooperation and communication. Postdoctoral studies are a strong merit but not a requirement. "Reproducible research", "FAIR data", and "integrative omics" are central concepts to us. We are looking for candidates experienced in performing advanced analyses in various areas including (but not limited to):
    • Cancer genomics
    • Genome assembly and comparative genomics
    • Single-cell transcriptomics
    • Epigenetics
    Strong skills in experimental design and software development are also beneficial.

    TERMS

    Full time, two years.

    LOCALE

    Department of Molecular Biology, Umeå University, Umeå, Sweden

    HOW TO APPLY

    Please follow this link for further details and application form: umu.mynetworkglobal.com/en/w[...]2637/

    DEADLINE

    22nd of June, 2017

    POLICY

    Umeå University wants to offer an environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. In each recruitment we aim to increase diversity and the opportunity to affirmative action.

    DESCRIPTION

    We are recruiting a computational postdoc who wants to pursue groundbreaking research on digital medicine, combining a strong background in machine learning with cutting-edge technologies such as single-cell sequencing, wearable devices, ubiquitous sensors, and augmented reality, and a keen interest in biomedical applications.

    Our group is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, on the campus of one of the world's largest hospitals and medical schools. We combine a strong background in computational methods with the expertise, collaborations, and funding to pioneer the use of advanced digital technology in biotechnology and personalized medi-cine.

    The Project:
    The successful candidate will develop and apply advanced machine learning technology (e.g., deep neural networks, kernel methods, non-linear regression, and/or causal modeling) in order to discover fundamental mechanisms of biology and medicine and to advance personalized medicine. Potential applications may include (but are not limited to) single-cell sequencing of cancer, 3D reconstruction of tumors and epigenetic landscapes, mobile health technology for patients with brain cancer, and pattern discovery in heterogeneous biomedical datasets. Our location on one of the largest medical campuses in Europe ensures direct relevance to medicine, while our close collaboration with the Max Planck Institute for Informatics (Germany) provides first-hand access to a cutting-edge computer science environment.

    The Candidate:
    We are looking for highly motivated and academically outstanding candidates who want to pursue a career in machine learning re-search and its applications in biology and medicine. Candidate should have a strong background in the quantitative sciences (computer science, bioinformatics, statistics, mathematics physics, engineering, etc.). We will also consider applicants with a background in medi-cine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing computational projects with a major machine learning component.

    The Lab (epigenomics.cemm.oeaw.ac.at):
    The Medical Epigenomics Lab at CeMM pursues an interdisciplinary and highly collaborative research program aimed at understanding the cancer epigenome and establishing its utility for precision medicine. The lab is internationally well-connected and active in several fields:
    • Epigenomics. Many diseases show widespread deregulation of epigenetic cell states. As members of the International Human Epigenome Consortium, we use epigenome sequencing to dissect the epigenetic basis of cancer and immune disorders.
    • Technology. Groundbreaking biomedical research is often driven by new technologies. Our lab is therefore heavily invested into technology development, including single-cell sequencing, CRISPR screens, and epigenome editing.
    • Bioinformatics. New algorithms and advanced computational methods allow us to infer epigenetic cell states from large da-tasets, in order to reconstruct the epigenetic landscape of cellular differentiation and complex diseases.
    • Diagnostics. New technologies (genome sequencing, mobile devices, etc.) provide important information for personalized medicine. We develop and validate assays and algorithms for translating the value of digital medicine into routine clinical practice.
    The Principal Investigator (scholar.google.com/cita[...]AAAAJ):
    Christoph Bock is a computational biologist and principal investigator at CeMM. He is also a guest professor at the Medical University of Vienna's Department for Laboratory Medicine, scientific coordinator of the Biomedical Sequencing Facility at CeMM, and an adjunct group leader for bioinformatics at the Max Planck Institute for Informatics. Christoph Bock obtained his PhD summa cum laude from Saarland University and the Max Planck Institute for Informatics in 2008, followed by three years of postdoctoral research at the Broad Institute of MIT and Harvard, where he contributed to the NIH Roadmap Epigenomics project. He has been a principal investigator of BLUEPRINT (in the International Human Epigenome Consortium), and he co-founded Genom Austria, a citizen science project that is the Austrian partner in the International Network of Personal Genome Projects. He has received several major research awards, including the Max Planck Society's Otto Hahn Medal (2009), a New Frontier Group grant by the Austrian Academy of Sciences (2015-2020), an ERC Starting Grant (2016-2021), and the Overton Prize of the International Society of Computational Biology (2017).

    The Institute (www.cemm.at):
    CeMM is an international research institute of the Austrian Academy of Sciences and a founding member of EU-LIFE. It has an outstand-ing track record of top-notch science (last five years: >10 papers in Nature/Cell/Science/NEJM, >25 papers in Nature/Cell sister jour-nals) and medical translation. With just over a hundred researchers, CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disor-ders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna's historical city center. A study by "The Scientist" placed CeMM among the top-5 best places to work in academia world-wide (the-scientist.com/2012[...]-2012). Vienna is frequently ranked the world's best city to live. It is a Unit-ed Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 different nation-alities are represented at the institute.

    HOW TO APPLY

    Please apply online (cemm.jobbase.io/job/4nqqqgyt) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis. Any application received by 31 July 2017 will be considered. Start dates are very flexible.

    A pdf version of the job advertisement is available here: www.medical-epigenomics.org/file[...]e.pdf

    BACKGROUND

    We are looking for a highly motivated candidate specializing in Bioinformatics to join the Computational Cancer Genomics lab of Dr. Rendong Yang. Our laboratory is interested in the integrative analysis of large-scale, multi-dimensional genomic data to understand the initiation and progression of diseases. The research projects involve in the development of highly accurate and sensitive computational methods for analyzing large-scale genomic data, especially in the area of detecting and analyzing genetic variations and somatic mutations. Example projects span from technique-driven research that aims developing algorithms for a wide range of applications (e.g. Yang et al., Bioinformatics 2010; Yang et al., BMC Genomics 2014; Yang et al., Genome Medicine 2015), to hypothesis-driven investigation of specific biological problems where the main goal is the discovery and advancement of biological knowledge (e.g. Asangani et al., Nature 2014; Henzler et al., Nature Communications 2016; Katerndahl et al., Nature Immunology 2017).

    RESPONSIBILITIES

    The goal of this position will be to lead multiple research projects, develop novel computational algorithm(s), perform data analysis, collaborate with biologists and physicians, and present/publish the results in scientific conferences/journals. The main focus is to explore the functional consequences of somatic alterations in cancer patients, to identify driver alterations, and to understand the genetic mechanisms of cancer progression and drug resistance by integrating multi-dimensional data from large-scale cancer studies such as The Cancer Genome Atlas (TCGA).

    REQUIREMENTS

    A Ph.D. in Bioinformatics/Computational Biology/Computer Science/Statistics/Physics/Biology or a related field is required along with experience in Linux, proficiency in at least one programming languages (e.g. Python, R, Perl, Java, C/C++, Matlab) and experiences with high-throughput sequencing data (WGS, WES, RNA-Seq, ChIP-Seq) analysis. The candidate must demonstrate effective verbal and written communication skills.

    PREFERENCES

    Strong programming background and experiences with cancer genomics data (such as TCGA)

    TERMS

    Full time

    LOCALE

    Austin, MN

    COMPENSATION

    Competitive

    HOW TO APPLY

    Send a cover letter, CV and list of references to Dr. Rendong Yang (yang4414[at]umn.edu)

    DEADLINE

    Open until filled

    POLICY

    Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
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