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    REQUIREMENTS

    We are looking for a highly motivated individual with a Masters or PhD degree in bioinformatics or related areas and a strong expertise in Unix, profound knowledge in NGS data analyses & programming and a good working knowledge in statistics using R, to support our bioinformatics projects.

    The ideal candidate is interested in developing custom tailored analyses for a wide range of high throughput data types (DNA-seq, RAD-seq, ChIP-seq, RNA-seq, ATAC-seq, BS-seq, ...) to answer an even wider range of scientific questions, enjoys working as part of a team in a heavily interdisciplinary environment. The successful candidate is self-organized and proactive and willing to stay up to date and expand their knowledge in the rapidly changing world of 'omics' data.

    PREFERENCES

    Postdoctoral and or counseling experience is highly welcome.

    TERMS

    This is a full time position with the possibility of tenure upon positive evaluation. Continuation of own research is encouraged (up to 20% of the working hours).

    LOCALE

    University of Veterinary Medicine Vienna, 1210 Vienna, Austria

    HOW TO APPLY

    Please send your application including a detailed description of your expertise in bioinformatics and statistics, list of peer reviewed articles, a motivation letter and two references to christian.schloetterer[at]vetmeduni.ac.at.

    DEADLINE

    31st December 2017

    POLICY

    The University of Veterinary Medicine Vienna is an equal opportunity employer.

    DESCRIPTION

    Biology: Tenure-track Assistant Professor in Bioinformatics to begin August 2018 to teach at the graduate and undergraduate levels, advise students, maintain an active externally funded research program, and provide service to the institution. Teaching responsibilities may include courses in general biology, programming for the life sciences, and a new bioinformatics or genomics course for a future bioinformatics major. The departmental home of this position (Biology or Microbiology) will depend on the specific research expertise of the successful candidate.

    Required: Ph.D. in bioinformatics, computational biology, biology, microbiology, or a related field by date of appointment.

    Consideration may be given to candidates who study computational biology and genomics, proteomics or metabolomics to infer how variation in gene sequences and epigenetic status translates into the functional expression of traits; those with postdoctoral experience; teaching experience; or developing an externally funded research program.

    ABOUT US

    Together, the Departments of Biology (miamioh.edu/biology) and Microbiology (miamioh.edu/microbiology) have over 50 faculty with excellence in undergraduate and graduate teaching and research. The two departments offer several undergraduate degrees in the biological sciences and a bioinformatics minor, as well as M.S. and Ph.D. degrees in biology, microbiology, and botany. Both departments also have faculty and graduate students in interdepartmental graduate degree programs in cell, molecular, and structural biology (miamioh.edu/cmsb) and ecology, evolution, and environmental biology (miamioh.edu/eeeb). Research and teaching are supported by outstanding core facilities, the Center for Bioinformatics and Functional Genomics, the Miami RedHawk High Performance Computing Cluster, the Center for Advanced Microscopy and Imaging, and a Laboratory Animal Resources Center. Miami is a top-ranked public university for its commitment to excellence in both undergraduate and graduate education.

    HOW TO APPLY

    Submit letter of interest, curriculum vitae, statement of research plans and teaching philosophy to miamioh.hiretouch.com/job-[...]=4987. For inquiries about posting, contact Paul James at jamespf[at]miamioh.edu. Screening of applications will begin November 27, 2017 and will continue until the position is filled.

    POLICY

    Miami University, an EO/AA employer, encourages applications from minorities, women, protected veterans and individuals with disabilities. Miami University does not discriminate on the basis of age, color, disability, gender identity or expression, genetic information, military status, national origin, pregnancy, race, religion, sex, sexual orientation or protected veteran status in its application and admission processes, educational programs and activities, facilities, programs or employment practices. Requests for all reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff[at]miamioh.edu or 513-529-3560.

    Miami University's Annual Security and Fire Safety Report with information on campus crime, fires, and safety may be found at: www.MiamiOH.edu/camp[...].html. Hard copy available upon request. A criminal background check is required. All campuses are smoke- and tobacco-free campuses.

    BACKGROUND

    RNA is unique among all biomolecules as it can be both information-storing and enzymatic. These features are tightly linked to its structure, in which base-pairing interactions give rise to a highly folded macromolecule. Indeed, in addition to the genetic code, which specifies the composition of proteins, we now know there is a secondary layer of information encoded in every transcript in the form of RNA structure that can regulate processes as diverse as splicing, localization, and translation efficiency. Recent genome-wide association and biochemical studies have linked multiple diseases, including cancer and neurodegenerative diseases, to changes in RNA structure. The lab is focused on developing new methodology to identify and quantify multiple RNA conformations and to use this methodology to answer fundamental and unresolved questions on 1) HIV-1 RNA structure and 2) pre-mRNA structures that control alternative splicing in neurons.

    RESPONSIBILITIES

    • Develop and implement existing and new computational methods and tools for high-throughput sequencing analysis (RNA-seq, DMS-seq) of diverse data.
    • Assist with the design and development of major bioinformatics-related programming projects.
    • Write custom scripts to access databases and analyze data.
    • Write custom web tools for scientists.
    • Assist with the preparation and teaching of courses and/or demonstrations on the use of bioinformatics tools.
    • Consults scientific literature as needed.
    • Other tasks as required or assigned

    REQUIREMENTS

    • Bachelor's degree in computer science, bioinformatics or a field directly related to the work
    • Proven experience using bioinformatics to solve biologically important questions
    • Knowledge of Python
    • Excellent written and oral communication skills, strong organizational skills

    LOCALE

    Whitehead Institute for Biomedical Research
    455 Main Street, Cambridge MA 02142

    HOW TO APPLY

    Email Resumes[at]wi.mit.edu or mail resume to 455 Main Street Cambridge MA 02142.

    BACKGROUND

    A highly motivated Computational Biologist/Bioinformatician is needed to work within a world leading malaria genomics team that uses cutting edge technology to study the comparative and functional genomics of malaria parasites.

    RESPONSIBILITIES

    Our group studies the genome biology and functional genomics of parasites. We seek an enthusiastic and innovative individual primarily to provide wide-ranging support to the bioinformatics needs of the malaria projects with our team. As part of the role, you will get the opportunity to test-drive new technologies and develop projects that use comparative genomics, RNA-seq and single-cell transcriptomic approaches to explore the evolution and function of malaria genes and genomes.

    You will work closely with other scientists within the team, including those working in the wet lab or at the computer. You will advise and instruct others in bioinformatics analyses and depending on your experience, you may get the opportunity to supervise students, junior staff and visiting workers

    REQUIREMENTS

    • Post-graduate experience in bioinformatics
    • Demonstrable programming/scripting experience
    • Good understanding of sequencing, assembly and analysis technologies
    • Ability to communicate work effectively to diverse audiences
    • Ability to work on large number of projects simultaneously
    • Ability to interact productively with other members of a team

    PREFERENCES

    • Broad parasitology knowledge
    • Good understanding of malaria biology
    • Master degree in a relevant subject (e.g. biological science, computational biology)
    • Extensive experience in bioinformatics
    • Good understanding of sequencing-based functional genomics approaches.

    COMPENSATION

    Salary in the region of £30,000 (Bioinformatician); Salary in the region of £40,000 (Senior 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.

    ABOUT US

    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[...]32980

    Please include a covering letter and CV with your application.

    DEADLINE

    17th December 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.

    DESCRIPTION

    Two postdoctoral positions are available immediately in the laboratory of Dr. LuZhe Sun, Dielmann Endowed Chair in Oncology and Professor in the Department of Cell Systems & Anatomy, Long School of Medicine, UT Health San Antonio.

    Applicants should have demonstrated experience in applying bioinformatics tools for cancer and stem cell research.

    The successful applicants will investigate the molecular mechanisms of hepatocellular carcinogenesis in Latinos or aberrant aging mammary stem cells.

    The positions are jointly funded by grants from NIH and Clayton Foundation for Research. Persons with newly granted doctoral degrees are encouraged to apply.

    COMPENSATION

    Attractive stipend and fringe benefits will be offered.

    ABOUT US

    The UT Health San Antonio is a Tier One research institution and the department enjoys a dynamic research program that offers opportunities for multidisciplinary collaborative investigation. San Antonio is a dynamic and multicultural city with a relatively low cost-of-living and an outstanding cultural and educational environment.

    HOW TO APPLY

    Please email your CV to SUNL[at]UTHSCSA.EDU.

    POLICY

    All postdoctoral appointments are designated as security sensitive positions. UT Health San Antonio is an Equal Employment Opportunity/Affirmative Action Employer.

    Submitter

    BACKGROUND

    A great opportunity is available for a scientific software developer to join a highly talented team based in London who are integrating cutting-edge semiconductor technologies with novel biochemical techniques to develop a new NGS platform and associated molecular diagnostic applications.

    The position is within the NGS Platform development team and you will be responsible for all aspects of primary analysis of NGS data throughout the product development process.

    RESPONSIBILITIES

    • Design, implementation of a high-throughput automated primary DNA sequencing signal analysis software (base calls, mapped reads, Phred scores, error rate, signal to noise, phasing, coverage depth)
    • Development of a user-friendly software tool suite for deeper analysis and troubleshooting of sequencing results including QC software
    • Analysis of data sets generated by ongoing R&D work including but not limited to modelling of raw electronic signals generated by the NGS platform
    • Cross-functional training on the use of the primary analysis tool suite and ongoing support of internal users
    • Continuous improvement of algorithms and software tools
    • Fulfilment of all documentation requirements

    REQUIREMENTS

    • Development, optimisation and implementation/use of NGS primary analysis algorithms and software tool suites
    • Proficient in Python - SciPy, NumPy, Pandas (other scripting languages)
    • Excellent academic background in a relevant discipline with postgraduate level preferred
    • Confident in a Linux environment and source code repository Git
    • MS. or PhD preferred in scientific fields like Applied Mathematics, Chemistry, Physics, Biochemistry, Biomedical Engineering, Bioinformatics, Electrical Engineering or Computer Science
    • Understanding and demonstrable skills in real-time signal processing, data analysis, control theory, optimisation, pattern recognition and machine learning
    • Working knowledge of bioinformatics formats (FastQ, BAM, SAM, etc.)
    • Innovative problem-solving abilities, self-motivated and goal-oriented
    • Clear communication skills and proven ability to train others

    PREFERENCES

    • Experience with ISFET-based sequencing and signal processing
    • Sound knowledge of genomics and statistical methods
    • Compiled programming languages C/C++, Matlab, R
    • Open source genomics tools such as SamTools, Isaac, BWA, BowTie2
    This is an ideal role for someone who is self-motivated, enjoys working in interdisciplinary teams and would thrive in a start-up environment.

    COMPENSATION

    There are some great benefits available with this position including a competitive salary and the opportunity to work with some of the smartest minds in the industry.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Software, Engineer, Developer, NGS, Bioinformatics, Genomics, Pipeline, DNA, QC, Next, Generation, Sequencing, Python, NumPy, SciPy, Pandas, Linux, FastQ, BAM, Statistics, London.

    Submitter

    BACKGROUND

    A great opportunity is now available in Oxford for a Data Scientist to use state-of-the-art Machine Learning and Deep Learning methods, working with complex genetic data. This place-holder will design and implement novel approaches to learning from large scale data using state-of-art machine learning techniques. The position offers the opportunity to work with leading scientists and a talented technical team, using an integrated data resource that is unrivalled in the field, in order to deliver cutting-edge science in genomic analysis. There are open positions available to individuals with suitable experience in data science companies, as well as individuals who have recently completed their PhDs, existing postdoctoral fellows, or existing PIs.

    REQUIREMENTS

    You should have:
    • A strong quantitative background in statistics, machine learning or data science
    • Proven experience of analysing large-scale data sets in a scientific context using state-of-art machine learning methods
    • The ability to summarize and visualize complex datasets to look for patterns or potential biases through detailed analysis
    • The ability to discuss and explain complex ideas to both specialists and non-specialists
    • The ability to pick up complex concepts by interacting with specialists outside your own field
    • Experience in applying standard statistical approaches, and in contributing to the development of novel computational tools

    PREFERENCES

    Ideally, you additionally have:
    • Experience in genetics or genomics
    • Experience in the medical sciences
    • Experience with scientific programming languages, Python, and C/C++
    The expectation for relevant experience in these areas will vary with the seniority of the role. Given the sensitive nature of data used you will be expected, as all other employees, to ensure high standards of information security in your work. If you enjoy thinking creatively about challenging problems in an applied clinical and research setting, this job is for you.

    COMPENSATION

    There are some great benefits available with this role including a competitive salary, pension, healthcare and the opportunity to work with some of the most influential individuals in the industry.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Data, Scientist, Genomics, Bioinformatics, Human, Genetics, Machine Learning, Deep Learning, Theano, TensorFlow, Random Forest, Statistics, Analysis, Python, C++, Oxford.

    DESCRIPTION

    The Pochet Laboratory in Translational Learning & Informatics (personal.broadinstitute.org/npochet/) within the Department of Neurology at Brigham and Women's Hospital, Harvard Medical School, and the Broad Institute of MIT and Harvard is currently seeking a Research Fellow with expertise in machine learning and computer science in the field of translational genomics to join our research efforts in understanding the molecular and mechanistic basis of cancer, infectious, neurological and immune mediated disease. This position will function under the supervision of Dr. Nathalie Pochet.

    This position offers a stimulating and multidisciplinary environment. The fellow will work as part of a team of researchers across Brigham and Women's Hospital, Harvard Medical School, and the Broad Institute of MIT and Harvard. He or she will join an ongoing research program that aims at developing machine/transfer learning algorithms and software tools for the integrative analysis of multi-omics data to translate knowledge from model systems to patient studies of human disease. The project will entail developing innovative computational strategies for integrative modeling of genomics data, thus developing powerful toolboxes for applications in studies of human disease. The fellow will collaborate closely with Dr. Nathalie Pochet's broad network of collaborators at Brigham and Women's Hospital, Harvard Medical School, the Broad Institute of MIT and Harvard, and Stanford University.

    REQUIREMENTS

    Applicants should have a strong computational background and expertise in dealing with very large genomics data sets. Excellent programming, data analysis and machine learning skills are required. Experience with RNA and DNA sequencing data is a major plus. The ideal candidate should be passionate about the translation of genomics into clinical practice, and be highly motivated to work in a fast-paced and highly collaborative environment.

    LOCALE

    Brigham and Women's Hospital / Harvard Medical School / Broad Institute of MIT and Harvard

    HOW TO APPLY

    Applications and inquiries should be submitted by e-mail to Dr. Nathalie Pochet (npochet[at]broadinstitute.org). Please include your CV, a cover letter describing previous research, research interests, and future goals, as well as 3 references.

    BACKGROUND

    The University of Oklahoma College of Arts and Sciences and Gallogly College of Engineering seek creative and dynamic applicants for an open-rank tenured or tenure-track faculty position in Computational Biology. The position will start in August 2018 and is part of a cluster hire in data scholarship across the university. This initiative connects researchers from diverse scholarly domains for collaboration via common approaches and for improvement of educational and research opportunities.

    Possible departmental home(s) for the candidate include the School of Computer Science, the Department of Microbiology and Plant Biology, and the Department of Biology, among others. A joint appointment is likely depending on the interests of the applicant. The successful candidate will conduct research and be teaching in Computational Biology and/or Bioinformatics, such as in algorithm development (sequential, parallel, and/or distributed), systems analysis and modeling, genomic or ecological data mining and/or visualization. We particularly seek applicants with research directed to big data, including large-scale microbial, plant, or animal-omics, multi-scale biological modeling, or machine learning/artificial intelligence. If desired, support for laboratory work is available.

    RESPONSIBILITIES

    In-line with the norms of the affiliate department(s), the incumbent will contribute to teaching and training of undergraduate and graduate students, including in the Data Science and Analytics M.S. program (datascience.ou.edu). The incumbent will have a leadership role in the development of the cross-disciplinary data scholarship initiative.

    REQUIREMENTS

    • A Ph.D. in a biological science, computer science, or a related discipline or equivalent experience
    • A record of strong and sustained research activity

    PREFERENCES

    • More than seven years of experience after the advanced degree
    • Experience in collaborative or cross-disciplinary research in computational biology and/or bioinformatics, including with private or industry entities
    • A record of extramural funding
    • A sustained research program and a record of high-impact publication
    • Successful teaching experience both to specialists and non-specialists, including innovative approaches to foster engagement in computational analysis
    • Leadership in research, instruction, and/or service

    LOCALE

    Norman, Oklahoma

    COMPENSATION

    Salary will be commensurate with experience.

    ABOUT US

    The University of Oklahoma is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement, serving the educational, cultural, economic and health-care needs of the state, region, and nation from three campuses: the main campus in Norman, the Health Sciences Center in Oklahoma City, and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2,700 full-time faculty members. Norman is a culturally rich and vibrant town located in the Oklahoma City metro area. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on the "Best Places to Live" rankings. Visit soonerway.ou.edu for more information.

    HOW TO APPLY

    Applications should be submitted to apply.interfolio.com/46604 on ByCommittee and should include a curriculum vitae; three letters of reference; statements of research, teaching, and leadership interests and philosophy. Questions may be directed to CompBioSearch[at]groups.ou.edu.

    DEADLINE

    Review of applications will begin December 1, 2017, and will continue until the position is filled.

    POLICY

    The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to: admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides. The University of Oklahoma, recognizing its obligation to guarantee equal opportunity to all persons in all segments of University life, reaffirms its commitment to the continuation and expansion of positive programs that reinforce and strengthen its affirmative action policies. This commitment stems not only from compliance with federal and state equal opportunity laws but from a desire to ensure social justice and promote campus diversity. Our commitment to the concept of affirmative action requires sincere and cooperative efforts throughout all levels of our employment structure. We will continue to strive to reach the goals of fair and equal employment opportunities for all. Women, minorities, protected veterans, and individuals with disabilities are strongly encouraged to apply.

    BACKGROUND

    BDI Monash University is one of the largest and most successful biomedical research institutes in Australia. e BDI brings together more than 100 teams in a highly interactive environment, with access to truly world-class infrastructures. For details, please look at www.monash.edu/discovery-institute

    Our laboratory research interest focuses on how epigenetic and epitranscriptomic changes regulate gene expression programs in ES cells, neural stem cells and differentiated cells under normal and pathological conditions, such as cancers and neurological disorders. We use various experimental approaches including Cell and Molecular Biology, Biochemistry, CRISPRs, CRISPRs screens, ChIP-seq, RNA-seq, m6A RNA-seq, m5C RNA-seq, WGS, ATAC-seq, RRBS, Hi-C, proteomics and bioinformatics.

    For research details, please see www.med.monash.edu.au/anat[...].html

    REQUIREMENTS

    • A PhD in Bioinformatics, Computer Science, Mathematics, Statistics would be desirable with significant research experience in the field of Bioinformatics, Computational Biology, Genomics and Epigenetics/ Epi-transcriptomics
    • Candidates must have first author/ co-author publications.
    • Excellent knowledge and hands-on experience in NGS data, particularly ChIP-seq, RNA-seq, m6A RNA-seq, WGS, ATAC-seq, HiC, SNPs and related genomics datasets
    • Able to work independently and in teams
    • Candidates should have excellent written and oral communication skills.
    • High-level of project management skills with a record of successfully coordinating and/or supporting projects
    • Planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines
    • Ready to handle creative and challenging assignments
    • Willing to learn machine or deep learning, developing new bioinformatics tools
    • A demonstrated awareness of the principles of confidentiality, privacy and information handling

    PREFERENCES

    • A PhD in Bioinformatics, Computer Science, Mathematics, Statistics would be desirable with significant research experience in the eld of Bioinformatics, Computational Biology, Genomics and Epigenetics/ Epi-transcriptomics

    TERMS

    3 years

    LOCALE

    Melbourne, Australia

    COMPENSATION

    • Three-year fixed-term appointment
    • Remuneration: $82,645 - $90,646 pa HEW Level 07 (plus 17% employer superannuation)

    HOW TO APPLY

    If you are interested, please send a cover letter, CV and contact information for 3 references via email to me – Dr. Partha Pratim Das. PhD (Partha.Das[at]monash.edu)

    DEADLINE

    30th dec, 2017

    BACKGROUND

    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).

    RESPONSIBILITIES

    • We are looking for a talented and highly motivated data scientist/ bioinformatician to play a crucial role in new research on cancer mutations in the COSMIC team at the Sanger institute, Hinxton. In this study, we are aiming to characterise every genetic mutation in every form of cancer, to define - at high-resolution across global populations - the important events which are driving disease.
    • You will work together with COSMIC scientific team, bringing bioinformatic or data science expertise to 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 progression.
    • 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, and who are already exploring these data. 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, and therefore your research will impact directly on the discovery and development of new precision medicines.
    • We anticipate this project will become a major new resource to discover new targets in cancer genetics, and our research will ultimately have an impact on the clinical treatment of cancer patients when they reach hospital. You will also have opportunities to learn more about precision medicine, and how pharmaceutical development works.

    REQUIREMENTS

    Essential Skills:
    • MSc in Bioinformatic or Computer Science discipline
    • Highly self-motivated, able to work independently and organise own workload
    • Excellent communication and effective team-working skills
    • Data handling skills
    • Experience of developing software

    PREFERENCES

    Ideal Skills:
    • Good communication and presentation skills
    • Experience of developing software for scientific research
    • Knowledge of human or cancer genetics

    TERMS

    Permanent

    LOCALE

    The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus.

    COMPENSATION

    Salary in the region of £37,000 plus excellent benefits

    HOW TO APPLY

    For further information, job description and to apply: jobs.sanger.ac.uk/wd/p[...]32910

    DEADLINE

    7th December 2017

    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.

    DESCRIPTION

    The Department of Biostatistics & Medical Informatics (BMI) at the University of Wisconsin School of Medicine & Public Health (SMPH) seeks tenure track assistant, associate, and full professors whose research focuses on machine learning, or related areas, to start in Fall 2018. Candidates should have a doctoral degree (PhD, ScD, or equivalent) in Computer Science, Biomedical Informatics, Bioinformatics, Computational Biology, or a closely related quantitative area. We are particularly interested in machine learning or data science experts with experience or a demonstrated interest in motivating their methodological research by any of the vast array of applications in the biological, clinical, or public health sciences. Other relevant methodological expertise may include, but is not limited to, database theory and methods and/or data mining, natural language processing, and data privacy and security. A key consideration is the ability and interest to work in a collaborative, interdisciplinary environment.

    Successful candidates will maintain a superb research program that ideally involves applications to precision medicine, translational bioinformatics, clinical trials and other clinical investigation, population health research or health services research, and/or the improvement of clinical care. It is expected that the candidate will attract and maintain external funding to support his/her program, and will collaborate with scientists at UW-Madison, either in the SMPH and/or across campus, and/or its partner institutions. Additional responsibilities will include training graduate students, teaching, and participating in professional, university, and community service appropriate to rank.

    ABOUT US

    The University of Wisconsin-Madison is a world-class academic institution with an international reputation for basic, applied, and interdisciplinary research. UW-Madison regularly ranks in the top 10 or 12 among U.S. public universities, and regularly surpasses $1 billion in annual research expenditures. Madison provides a vibrant, culturally rich environment highly ranked in national surveys for quality of life. The BMI department also provides an exceptional environment for academic activity and interdisciplinary collaboration. BMI faculty collaborate with scientists across UW and the State, including the Institute for Clinical and Translational Research, the UW Carbone Cancer Center, the Marshfield Clinic Research Foundation, the Wisconsin Institute for Discovery, and the Morgridge Institute for Research. BMI maintains strong ties to the world-class Departments of Computer Sciences and of Statistics, through which most of its PhD students have traditionally been trained. BMI is also home to a Center for Predictive Computational Phenotyping, funded under the NIH "Big Data to Knowledge" initiative, a training program in biomedical informatics funded by NIH (National Library of Medicine), and a new PhD program in Biomedical Data Science, with the first cohort of students to begin in Fall 2018.

    HOW TO APPLY

    A review of complete applications will begin on December 15, 2017. To ensure full consideration, please apply by January 1, 2018. The position will remain open and applicants may be considered until the position is filled. Candidates should submit their applications through the UW employment website jobs.hr.wisc.edu/cw/e[...]essor.

    POLICY

    AA/EOE. Unless confidentiality is requested in writing, information regarding the applicants must be released upon request. Finalists cannot be guaranteed confidentiality. A criminal background check will be required prior to employment.

    BMI is committed to building diversity in our department and more broadly. The department especially encourages female applicants and those from underrepresented minorities, and is committed to the professional development and success of such individuals throughout their career.

    RESPONSIBILITIES

    We are recruiting a highly motivated computational biologist to work on the future of genomic medicine, with a focus on diagnosing and curing rare genetic diseases. The successful applicant will develop the bioinformatics program of the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases in close collaboration with Vienna's Biomedical Sequencing Facility, the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, and the Medical University of Vienna. You will bring hands-on experience working with large genomic or biomedical datasets, a proactive mindset and getting-things-done attitude in a fast-moving field, and the commitment to help shape the future of personalized medicine in Vienna.

    Typical Tasks:
    • Software engineering. Develop cutting-edge software and analysis infrastructure for genome data analysis and interpretation
    • Data analysis. Contribute quantitative and analytical expertise to rare diseases research and to clinical diagnostics collaborations
    • Data management. Establish and maintain databases and web infrastructure to keep track of data, analyses, and projects
    • Training and outreach. Contribute to scientific and clinical workshop, teaching scientists and physicians how to analyze their data
    • International networks. Follow global trends in rare diseases and personalized medicine; represent the institute at meetings
    • Project leadership. Develop a thriving bioinformatics project at the Ludwig Boltzmann Institute for Rare & Undiagnosed Diseases

    REQUIREMENTS

    Relevant Qualifications:
    • PhD and/or postdoc experience in bioinformatics, medical informatics, quantitative biology, or a related field
    • Strong software engineering skills (any programming language) and experience working with large volumes of data
    • A high level of accuracy, reliability, organization skills, and commitment to high-quality bioinformatics service
    • Prior experience working in a data-rich biomedical environment is a plus (but not mandatory)
    • Friendly, collaborative mindset, ability to multi-task and to work effectively in an international environment
    • High motivation to work in one of the fastest-moving and future-oriented areas of biomedicine
    • Proactivity, stress resistance, and willingness to lead critical implementation projects in the area of personalized medicine

    COMPENSATION

    The salary for this position is paid according to the FWF salary scheme. This is an annual salary of min. 50,000 EUR (gross).

    ABOUT US

    Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (rarediseases.at):
    The Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD) is Austria's leading center for rare diseases research, working in close collaboration with its partner institutions – the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, the Medical University of Vienna, and the Children's Cancer Research Institute of the St. Anna Children's Hospital. A total number of ~8,000 rare diseases exist and together affect about 1 in 20 people, thus creating a major health concern. Moreover, rare diseases constitute a prime area for personalized medicine and a test case for new methods that will eventually benefit all patients. For example, whole exome sequencing is already clinical practice for diagnosing rare diseases, and the repurposing of existing drugs based on molecular understanding makes it possible to treat a (small but growing) subset of diagnosed cases with personalized therapies. At LBI-RUD, a team of international and multidisciplinary scientists and medical doctors boldly pursue the vision of making rare diseases the poster child of personalized medicine in Austria. Two ERC grants held by LBI-RUD faculty (institute director Kaan Boztug and bioinformatics group leader Christoph Bock) are testament of the high quality of the research. Moreover, LBI-RUD maintains a strong international network of partners.

    CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences (www.cemm.at):
    LBI-RUD is the partner, spin-off, and direct neighbor of CeMM, an international research institute of the Austrian Academy of Sciences focused on biomedical research and a founding member of EU-LIFE (eu-life.eu), the association of leading biomedical research institutes in Europe. CeMM 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), medical translation, and start-up companies. With just over a hundred researchers, CeMM provides a truly collaborative (cemm.at/care[...]ment/) 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 United Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 nationalities are present at the institute. CeMM aims to promote equality of opportunity for all with the right mix of talent, competences and potential.

    HOW TO APPLY

    Please apply online (cemm.jobbase.io/job/f7p1jiii) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis. Any application received by 10 December 2017 will be considered. Start dates are flexible.

    BACKGROUND

    We need an outstanding candidate excited about novel approaches for the metagenomics data analysis.

    Our group, together with MetaSUB (www.metasub.org) consortium partners, develops and standardize the analysis methods and approaches for metagenomics samples from subway and urban biomes in order to assess the biodiversity and to build a molecular portrait of cities.

    RESPONSIBILITIES

    You will be responsible for the development of novel approaches in the deep bioinformatics analysis of metagenomics data sets from MetaSUB related projects. You will be responsible for applying and adapting existing systems as well as developing novel components as needed.

    REQUIREMENTS and PREFERENCES:
    • Doctoral degree/PhD in bioinformatics, computer science or (computational) biology, or any related field of life sciences
    • Strong expertise in programming in: R, PERL, python, C/C++; knowledge about Linux environment on the administrator and programmer level; knowledge about version control systems: svn, git
    • Experience in (bio)statistics as well as machine learning methods
    • Basic knowledge about molecular biology, especially metagenomics
    • A plus will be proof of eventual earlier scientific work.
    • Excellent written and oral communication skills in English (essential)
    • Abilities to work unsupervised and have good organization skills

    COMPENSATION

    Salary will be commensurate with experience.

    ABOUT US

    Bioinformatics Research Group at MCB, Jagiellonian University Krakow, Poland (www.mcb.uj.edu.pl/bioinformatyka):
    We are interested in pushing the state of the art in functional genomics, aiming to elucidate the role of the thousands of genes and gene products that are still not exhaustively characterized. A key source of information about the function of a gene is when, where, and how strongly it is being expressed. The most common studies are actually looking for differential expression: differences in expression between different samples or states. This is fortunate, as some of our recent work has shown that such comparative studies are much more robust to technical platform effects. Quantitative measurements are of course directly subject to bias and noise. When novel technologies emerge, the characterization of their measurement bias and noise, as well as the subsequent reduction of the effects of these becomes a critical prerequisite to meaningful reproducible results. With our collaborators we have made key contributions to the first systematic study of the power and limitations of RNA-seq within the US FDA MAQC-III/SEQC consortium. We continue this work, among others, in follow up SEQC2 project.

    Another area of our interest is to study the microbial ecosystems of built-up environments in order to build a molecular portrait of cities. To achieve this ambitious goal we collaborate with groups from all over the world within the MetaSUB International Consortium (www.metasub.org).

    HOW TO APPLY

    Full information about application procedure and detailed requirements can be found here: www.mcb.uj.edu.pl/docu[...]2.pdf

    DEADLINE

    The application deadline is 19th of Nov 2017.

    BACKGROUND

    We need an outstanding candidate excited about novel approaches for the analysis of high-throughput expression profiling data.

    Our group focuses on the challenge of extracting structured insight from genome-scale experiments. We investigate the gene models' complexity as well as influence of alternative gene transcripts level analysis on mRNA expression profiling results interpretation.

    RESPONSIBILITIES

    You will be responsible for the development of novel approaches in the deep bioinformatics analysis of heterogeneous data sets from high-throughput expression profiling experiments. You will be responsible for applying and adapting existing systems as well as developing novel components as needed.

    REQUIREMENTS and PREFERENCES:
    • Doctoral degree/PhD in bioinformatics, computer science or (computational) biology, or any related field of life sciences
    • Strong expertise in programming in: R, PERL, python, C/C++; knowledge about Linux environment on the administrator and programmer level; knowledge about version control systems: svn, git
    • Experience in (bio)statistics as well as machine learning methods
    • Basic knowledge about molecular biology, especially genomics/transcriptomics
    • A plus will be familiarity with expression profiling technologies and methods.
    • A plus will be proof of eventual earlier scientific work.
    • Have excellent written and oral communication skills in English (essential)
    • Have abilities to work unsupervised and have good organization skills

    COMPENSATION

    Salary will be commensurate with experience.

    ABOUT US

    Bioinformatics Research Group at MCB, Jagiellonian University Krakow, Poland (www.mcb.uj.edu.pl/bioinformatyka):
    We are interested in pushing the state of the art in functional genomics, aiming to elucidate the role of the thousands of genes and gene products that are still not exhaustively characterized. A key source of information about the function of a gene is when, where, and how strongly it is being expressed. The most common studies are actually looking for differential expression: differences in expression between different samples or states. This is fortunate, as some of our recent work has shown that such comparative studies are much more robust to technical platform effects. Quantitative measurements are of course directly subject to bias and noise. When novel technologies emerge, the characterization of their measurement bias and noise, as well as the subsequent reduction of the effects of these becomes a critical prerequisite to meaningful reproducible results. With our collaborators we have made key contributions to the first systematic study of the power and limitations of RNA-seq within the US FDA MAQC-III/SEQC consortium. We continue this work, among others, in follow up SEQC2 project.

    Another area of our interest is to study the microbial ecosystems of built-up environments in order to build a molecular portrait of cities. To achieve this ambitious goal we collaborate with groups from all over the world within the MetaSUB International Consortium (www.metasub.org).

    HOW TO APPLY

    Full information about application procedure and detailed requirements can be found here: www.mcb.uj.edu.pl/docu[...]1.pdf

    DEADLINE

    The application deadline is 19th of Nov 2017.
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