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    BACKGROUND

    About Department of Virus & Microbiological Special Diagnostics:
    As our new colleague, you will be a part of the Department of Virus & Microbiological Special Diagnostics (VMS), where we perform diagnostics and provides clinical guidance for viral infections and serology. The department is the national central laboratory for human virology, including surveillance of viral infections and research and development within the field. The department comprises the national WHO Centre on influenza, polio and measles/rubella. The department is also a member of the European Network for Imported Viral Diseases (ENIVD), thus participating in the European collaboration on surveillance of viral infections.

    RESPONSIBILITIES

    About the position:
    • We are looking for a highly motivated and dynamic postdoc.
    • You will be involved in research activities within the frame of the FluZooMark project.
    • Your primary task will be to assist in the bioinformatics requirements for the FluZooMark project as well as assisting in implementing additional viral bioinformatic tools for viral surveillance.
    • The research project involves bioinformatics, and you will be looking for viral molecular markers in the viral genome related to zoonotic transmission from NGS data of thousands of influenza virus samples from both human and swine origin.

    REQUIREMENTS

    Required qualifications:
    • Ideally, you are a bioinformatician with a PhD. You have experience working with viral data and you feel comfortable working with this data already. You will require the ability to install and run various viral bioinformatics pipelines on a Linux server and be able to, with the assistance of the Virologists, interpret the results.
    • You speak English fluently though Danish fluency is also a benefit.
    Technical requirements:
    • Fluency within a Linux environment
    • Install, run, debug, and maintain bioinformatic pipelines
    Optional requirements:
    • Knowledge of virology (i.e. Influenza)
    • Programming/Statistical knowledge (i.e. Python, R)
    • Experience with bioinformatic tools/pipelines (i.e. V-pipe, NextStrain, PyMol, BEAST)
    • Experience with Sweep Dynamics plots

    TERMS

    The employment as postdoc is a full time and fixed-term position for three years.

    The employment will be in accordance with the terms of the collective agreement between the Ministry of Finance and the Danish Federation of Professional Associations (AC-overenskomsten) and the Danish Ministry of Finance's circular concerning the job structure for scientific staff working with research at sector research institutions (Stillingsstruktur for videnskabeligt personale med forskningsopgaver ved sektorforskningsinstitutioner).

    If you come from abroad, we will be happy to assist you in the transition process.

    ABOUT US

    Statens Serum Institut (SSI) is under the auspices of the Danish Ministry of Health. Our main duty is to ensure preparedness against infectious diseases and biological threats as well as control of congenital disorders.

    HOW TO APPLY

    Apply here: candidate.hr-manager.net/Appl[...]aId=5

    Send your job application with the following appendixes:
    • Curriculum vitae (CV)
    • Copies of relevant academic diplomas (master and PhD)
    • List of scientific publications
    • 2-3 scientific publications
    Your research qualifications will be assessed by a scientific assessment committee in accordance with the current Danish rules for employment of scientific staff working with research at sector research institutions in Denmark.

    For further details and informal enquiries please contact Senior Scientist Ramona Trebbien phone +45 32683591 or email ratr[at]ssi.dk.

    DEADLINE

    1 January 2020

    Interviews is expected to be held between 6 January 2020 and 17 January 2020.

    Submitter

    BACKGROUND

    The Center for Precision Health (CPH) at the School of Biomedical Informatics (SBMI), the University of Texas Health Science Center at Houston (UTHealth) has a non-tenure track position at the assistant professor level in the areas of precision medicine and bioinformatics. UTHealth is in the world-renowned Texas Medical Center (TMC) located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.

    RESPONSIBILITIES

    The successful candidate will be expected to plan, supervise, and direct research in bioinformatics, genomic medicine, and/or deep learning, and the related in CPH, under the direct supervision of center director. The candidate will provide technical expertise to facilitate the study design, sample or data collection, pipeline development, data analysis, results implementation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the CPH, school and across UTHealth and TMC (e.g., MD Anderson Cancer Center, Baylor College of Medicine, Hermann Hospital, Methodist Hospital) is also encouraged. It provides opportunity to supervise post-doctoral fellows and lead the projects or initiatives through team research.

    REQUIREMENTS

    The individual should possess a doctoral degree in one of the following areas: bioinformatics, genomics, genetics, computational biology, pharmacogenomics, biomedical informatics, computer science, machine learning, medicine, biostatistics, or related disciplines. A record of verifiable and published research in bioinformatics and genomics and potential for obtaining extramural funding are preferred. Excellent teamwork and communication skills are required. Please provide a CV and a research statement.

    PREFERENCES

    Some grant writing experience. Research experience in pharmacogenomics or complex disease studies is a plus.

    LOCALE

    Houston, Texas, USA

    COMPENSATION

    By experience.

    HOW TO APPLY

    Please feel free to send an email to zhongming.zhao[at]uth.tmc.edu to inquire any information.

    DEADLINE

    Open until the position is filled.

    Submitter

    BACKGROUND

    Postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML, www.uth.edu/bioinfo/), Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell RNA sequencing method development and data analyses, deep learning, and regulatory networks. Integrative genomics and deep learning approaches are often applied. Funding (NIH grants, CPRIT, and lab/center startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (~300 papers since 2009) and has an excellent post-doctoral training track record (e.g. 23 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications appeared in journals such as Nature Medicine, Nature Neurosciences, Cancer Discovery, Genome Research, Genome Biology, American Journal of Human Genetics, Cancer Research, etc.

    The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science at Houston. The center is established in UTHealth in response to the emerging need of precision health and President Obama's Precision Medicine Initiative. The center focuses on precision cancer medicine, pharmacogenomics, deep learning, and translational bioinformatics. UTHealth is part of the world-renowned Texas Medical Center located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.

    REQUIREMENTS

    The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, R, Java, or C/C++). Good understanding of genetics or molecular biology and familiarity with biostatistics are plus. For more information about our research, please visit the web site www.uth.edu/bioinfo/.

    TERMS

    Three years

    LOCALE

    Houston, Texas, USA

    COMPENSATION

    Salary and Benefits: Salary are commensurate with the NIH pay level, and can be higher with strong research experience. Promotion to other positions is available too. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).

    HOW TO APPLY

    Applicants should send a CV, brief statement of research interests, and reference to:

    Zhongming Zhao (zhongming.zhao[at]uth.tmc.edu)
    Chair, Precision Health
    Professor and Director, Center for Precision Health
    University of Texas Health Science Center at Houston

    DEADLINE

    Until positions are filled.

    BACKGROUND

    Computercraft seeks an enthusiastic scientist with research experience in computational biology, bioinformatics, and/or genomics with exceptional communication, writing, and teaching skills. The successful candidate will play a central role in organizing, managing, and conducting code-a-thon events sponsored by the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH).

    RESPONSIBILITIES

    • Develop and deliver awesome, innovative, and cutting-edge code-a-thons in collaboration with NCBI scientific product teams and the NIH Office of Data Science.
    • Create and manage the NCBI schedule of code-a-thon events on topics such as genomics, bioinformatics, and data science.
    • Screen code-a-thon project proposals and participant applications, identify project team leads, and populate project-based teams for each event.
    • Network with community leaders to develop and publicize code-a-thon events and form ongoing collaborations.
    • Summarize and communicate code-a-thon success stories and lessons learned to NCBI, NLM, and NIH management.
    • Participate in and/or serve as a consultant for code-a-thons or similar events hosted by other NIH institutes, universities, or organizations.
    • Collaborate with NCBI/NLM staff to develop and deliver workshops and webinars on bioinformatics, cloud computing, and other data science topics.

    REQUIREMENTS

    A Ph.D. in a biomedical science and teaching experience are required, along with familiarity with UNIX/Linux, GitHub, and common scripting languages such as Python.

    PREFERENCES

    Experience with cloud computing (AWS, GCP) and bioinformatics software is strongly preferred.

    LOCALE

    This is a full-time position working on site at NCBI, NIH, in Bethesda, Maryland.

    COMPENSATION

    Computercraft offers a competitive salary, an excellent benefits package, the opportunity for a positive work--life balance with a standard 40-hour work week, and the chance to work alongside a team of highly accomplished professionals.

    HOW TO APPLY

    To apply for this position or learn about other Computercraft job opportunities, please visit the Careers section of our website: www.computercraft-usa.com.

    Submitter

    BACKGROUND

    This role offers the opportunity for a Senior Bioinformatician to join an exciting, fast-paced therapeutics organisation focusing in oncology, immunology and neuroscience. This opportunity offers the chance to work with cutting-edge technologies including antibody repertoire profiling and deep learning.

    The VC-backed company is at an early stage. It aims to deliver a pipeline of targets and therapeutic candidates, with goals to become a transformational large and small molecule therapeutics organisation, meaning a successful candidate will have the opportunity to help build and grow with the company.

    The Role:
    A successful candidate will work alongside the scientific team and will have a foundational role in building the company's platform, working closely with the founders and collaborators to build core components of the end-to-end bioinformatics approach, establishing standards and practices. The successful candidate will also be involved in patient stratification and management, analysis and visualisation of large scale omics data. You will work within a virtual team to support target identification. As the company grows, you will support the scientific leadership team to build, further coordinate and establish the technology platform & team. This role will report to the Chief Technology Officer (CTO).

    RESPONSIBILITIES

    • Perform analysis of human disease datasets for example large‐scale omics datasets including antibody/B cell receptor sequencing.
    • Develop computational models to stratify patient groups, evaluate antibody repertoires and enable data‐driven target discovery.
    • Support team to build and maintain a secure data management platform.
    • Advise on and support activities to functionally validate targets using in silico approaches (e.g., FGWAS, GWAS).
    • Work collaboratively with the team including bioinformatics research groups and external partners.
    • Communicate efficiently, interpret, summarise and visualise data for presentation to different audiences.
    • Keep current on new discoveries and changes in methodologies and approaches that might enhance the platform.
    • Work closely with the scientific leadership team to help build the platform and team.

    REQUIREMENTS

    Essential:
    • A PhD (or in exceptional cases, a masters level degree) in computer science, bioinformatics or related discipline
    • Experience at working with large‐scale genomic or functional genomic datasets
    • Proficient with R and Python
    • Mastery in integrating and analysing diverse high‐dimensional omics data sets relevant for immunology, oncology and neurodegeneration
    • Experience in building infrastructure for large scale data analysis and storage
    • An ambition to work with the team to build a transformative company
    • A team player who proactively and directly communicates and collaborates with other team members
    Desirable:
    • 5+ years of industry experience
    • Pre‐existing network of relevant external scientific contacts
    • Evidence of contribution to and influence of the strategic scientific direction of a large group

    COMPENSATION

    There are great benefits on offer with this role including a competitive salary, pension, holidays and more.

    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: Bioinformatics, Oncology, Immunology, Neuroscience, Target, Therapeutics, Deep Learning, Python, Genomics, Analysis, Infrastructure, In Silico, GWAS, RNA Seq, Single-Cell, London

    Submitter

    BACKGROUND

    This is an exciting role for an experienced Automation Scientist to lead the design, development and verification of automated systems for product development, services and manufacturing. A successful candidate will provide automation leadership and expertise on projects, ensuring work is well planned and executed to a high quality in a timely fashion, and play a key role in defining automation strategy for the company.

    The company have 5 different sites globally and pride themselves in their culture and performance of their people. It's a great opportunity to join a international molecular diagnostics group which develops and commercialises genetic products and services. The organisation work in partnership with global leaders in DNA technology to advance diagnostic science.

    RESPONSIBILITIES

    • Providing technical leadership on projects
    • Identifying commercially and technically appropriate automated solutions
    • Design and optimise automation workflows to ensure they are compatible with test reagents and meet scientific and user needs, in addition to usability requirements
    • collaboration with the Software Development function, design and optimise flexible automation system architectures which:
      • Enable efficient storage and retrieval of workflow configuration and live operational data, and
      • Allow interfaces to be established both between automation instruments and to integrate effectively with external systems (e.g. LIMS)
      • Ensure correct data transfer and traceability between automation platforms and LIMS systems
      • Support and contribute to implementation of development process(es)
      • Scientific input into study design and data interpretation, in particular to analyse, understand and control the variation in automated processes
      • Support and contribute to project planning
      • Ensure planning and reporting of studies are accurate and detailed
      • Ensure own work and that of junior staff meets all relevant regulatory & quality requirements (including compliance to SOPs, documentation using lab books, study plans, study reports and integrity of data) and is in line with company goals
      • Support and provide guidance to junior staff
      • Train other team members in the use of laboratory automation systems
      • Train and support customers in the use of automation equipment and software

    REQUIREMENTS

    • 5-10 years of laboratory experience within an industrial setting, of which 5+ years spent in an automation scientist role or equivalent
    • Experience with a range of automated liquid handlers, plate readers, automation software and equipment is essential (e.g. PerkinElmer, Beckman, Hamilton, Agilent)
    • Experience with Tecan liquid handlers, in particular the EVO series, is desirable.
    • Experience with automation system architectures including internal and external interfacing of components and storage of configuration and live operational data
    • Software programming skills for robotic operation, definition of graphical user interfaces and database access
    • Working knowledge of GLP, as well as instrument qualification and validation
    • Able to analyse scientific workflows and recommend changes to improve scientific processes
    • Good grasp of experimental design and execution
    • Supervisory experience of junior staff
    • Enthusiasm, drive, thoroughness, diligence and a willingness to take personal responsibility to ensure that projects are successful
    • Good organizational skills and enjoys working

    COMPENSATION

    There are some great benefits of offer including a competitive salary, private health care, discretionary bonus and more.

    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: Senior, Automation, Scientist, Liquid, Handling, Systems, Design, Development, Software, LIMS, Workflows, GUI, Implementing, Solutions. Project, Molecular, Diagnostics, Lead, Manchester

    BACKGROUND

    A staff position as scientific programming and software engineering is available in the Statistical Genomics and Systems Genetics group at our laboratory in the Genome Biology Unit at EMBL Heidelberg in Germany.

    Our research group is relocating from Cambridge to Heidelberg, where we bridge the excellence in molecular biology and biotechnology at EMBL Heidelberg with disease models and access to large biomedical datasets at the German Cancer Research Center Heidelberg.

    RESPONSIBILITIES

    The programmer will lead the development of Kipoi (kipoi.org), a software repository and API that seeks to unify recent advances in machine learning and deep neural networks for regulatory genomics. Kipoi builds on 3-way collaboration with international partners (Gagneur lab, LMU Munich, Kundaje lab, Stanford), and is increasingly used and extended by the research community. The position is funded via the recently awarded BMBF project MechML, which we are coordinating. The core aims of the post is to maintain and extend the Kipoi framework and its API, to implement new models within Kipoi and to support users of the system. We are also seeking to expand Kipoi to new fields and domains, including imaging and single-cell genomics. The latter aims are closely connected to the Human Cell Atlas, to which our group contributes as a node in the analysis working group.

    You will be located in the Stegle group and collaborate with partners in the MechML projects, collaborators at EMBL, DKFZ and elsewhere. We seek to build on previous developments and expertise in the group, including in deep learning methods (see below). The position will be jointly located at EMBL Heidelberg and DKFZ.

    REQUIREMENTS

    • The successful applicant will hold a doctoral degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering with demonstrated experience in scientific programming, ideally combined with computational and statistical methods development.
    • Previous experience the management of substantial software projects is expected. Expertise in deep learning, the development of methods for genomics and genetics is beneficial, as is communicating results in scientific conferences and papers.
    • We especially seek candidates with prior experience in the development of software systems that utilize machine learning methods, including methods based on deep learning.
    • Proficiency with a high-level programming language (e.g., C++, Java) and/or appropriate scripting languages, and statistical data analysis tools such as R, MATLAB or Python is required.
    • The ideal applicant should have demonstrated the ability to work independently and creatively. (S)he should have excellent communications skills and be able to articulate clearly the scientific and technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners within the MechML project and within the Human Cell Atlas project.

    PREFERENCES

    A good foundation in, and previous usage of methods in any of the following fields is advantageous: statistics, machine learning, genetics, optimization and mathematical modelling. A background in molecular biology, or previous experience tackling biological questions is not necessary.

    LOCALE

    Heidelberg, Germany

    HOW TO APPLY

    Please apply online through our system www.embl.de/jobs[...]01657

    DEADLINE

    03 Jan 2020

    BACKGROUND

    The Genetics Diagnostic Laboratory is seeking a bioinformatician to manage, analyze and integrate large scale genome wide sequence data. As a team member, you will assist in analyzing and interpreting clinical and experimental data derived from high throughput genotyping and sequencing platforms, such as Illumina's next-generation sequencing (NGS) platforms. You will be responsible for developing and implementing pipelines to analyze NGS data, and to integrate the data and results with internal and external applications and databases. You will work closely with Associate Laboratory Heads in the Genetics Diagnostic Laboratory as well as other members of the Regional Genetics Program, the CHEO Research Institute and other key partners and collaborators.

    RESPONSIBILITIES

    1. Develop, optimize, validate and implement a computational pipeline that facilitates analysis, filtering and interpretation of DNA variants identified by NGS-based assays.
    • Conduct literature reviews and liaise with collaborative informatics groups to develop and implement a pipeline for analysis of next generation sequencing data, progressing from genome alignment to variant calling and annotation .
    • Develop and/or implement a system that facilitates variant visualization, filtering and analysis of DNA variants by laboratory and clinical geneticists, genomic specialists and laboratory genetic counsellors.
    • Keep abreast of new and emerging technologies and literature pertaining to NGS analysis, variant detection and variant interpretation
    • Provide advice to laboratory leadership and implement adaptive changes to the pipeline as needed to ensure continuous optimization of data processing and quality.
    2. Conduct bioinformatics analysis of NGS-based data to identify variants and provide genetic counsellors, genomic specialists and laboratory scientists with information necessary for downstream variant interpretation.
    • Process data through the established pipeline and provide data in an appropriate format to the genomic specialists, genetic counsellors, researchers and laboratory scientists.
    • Troubleshoot and resolve issues related to pipeline data processing.
    3. Establish and maintain a secure and effective server system set up that ensures effective utilization of established bioinformatics pipelines.
    • Identify hardware and software necessary to establish a server set up for data processing.
    • Collaborate with appropriate personnel within and outside of CHEO to establish appropriate server set up.
    • Continually reevaluate effectiveness and capacity of server system, propose and implement changes as required.
    4. Establish and maintain a data storage system that enables storage of NGS related data (e.g. VCF files, variant & coverage reports) in accordance with applicable clinical diagnostic laboratory requirements. Identify tools necessary to establish and maintain a long-term scalable solution for data storage.
    • Collaborate with appropriate personnel within and outside of CHEO to establish appropriate storage set up.
    • Design and/or implement secure storage systems for NGS patient data and identified variants. Continually reevaluate effectiveness and capacity of storage system, propose and implement changes as required.
    5. Information technology support
    • Troubleshoot and resolve issues related to software used to detect and interpret clinical significance of sequence and copy number variants (e.g. Mutation Surveyor, NextGene, Alamut, Gene Marker, Affymetrix GeneChip Command Console (AGCC) and Chromosome Analysis Suite (ChAS)).
    • Conduct horizon scan to determine future needs of the Regional Genetics Program with respect to software applications, hardware needs and data storage needs
    • Aid in the implementation and maintenance of the existing and future computer systems in the laboratory, including the creation of a software inventory.
    • Collaborate with CHEO's IS Department in the resolution of IT issues as required.
    6. Other
    • Participate in training CCMG Fellows, Royal College Fellows, Genetic Counselling Students and other trainees.
    • Use knowledge base and experience to guide, mentor and support trainees and new staff.
    • Attend and contribute to staff meetings.
    • Participate in ongoing professional development and continuous quality improvement opportunities and present internally (e.g. education rounds) and externally (e.g. conferences) on CHEO-based work.
    • Participate in grant applications and ongoing research projects.
    • Conform to all laboratory safety regulations (as per the Occupational Health and Safety Act, CHEO corporate and/or departmental policies), and follow specific instructions of the designated safety officer.
    • Behave in accordance with all relevant policies, procedures, protocols and guidelines (e.g. CHEO (IS) policy, IQMH requirements, ACMG guidelines for variant interpretation and relevant scientific literature).

    REQUIREMENTS

    • Criminal Record Check (Essential)
    • Minimum of a Masters Degree in a relevant field such as bioinformatics, computer science or mathematics (Essential)
    • Experience working with next-generation sequencing data: Illumina base calling, sequencing quality control, sequence alignment, variant calling and de novo assembly, variant annotation, the Genome Analysis Tool Kit (GATK), RNA-sequencing analysis, germline and somatic mutational events, copy number variants etc. (Essential)
    • Advanced understanding of bioinformatics and computer science (Essential)
    • Experience working in an HPC environment and managing scheduling software (Preferred)
    • Advanced programming skills in at least one programming language as well as extensive experience with running and modifying Python, Perl, R, C++, MySQL, UNIX shell, Java, Matlab programs (Essential)
    • Proficiency in Linux (Essential)
    • Experience with bcbio-nextgen pipelines (Preferred)
    • Familiarity with statistical genomics (Preferred)
    • Proven experience developing bioinformatics tools and pipelines (Essential)
    • Excellent written and communication skills (Essential)
    • Experience with relevant public databases (e.g., Variant databases, Gene Ontology, UCSC Genome Browser) (Essential)
    • Bilingual (French/English) (Preferred)

    LOCALE

    Ottawa, Ontaio, Canada

    COMPENSATION

    To be determined

    HOW TO APPLY

    Please apply through our website here: careers.cheo.on.ca

    DEADLINE

    December 18th 2019

    POLICY

    Please note you will be represented by the Ontario Public Service Employees Union (OPSEU).

    Should the applicant require any accommodations during the application process please notify Human Resources as per the Accessibility for Ontarians with Disabilities Act.

    Keywords: Gentics, RNA, DNA, Genome, Hospital, Pediatrics

    DESCRIPTION

    BIONFORMATICIAN Staff Associate position available to study the molecular genetics of chronic kidney disease with special focus on copy number variants. The projects will employ state of the art genomics and bioinformatics approaches (DNA microarray and whole exome and genome NGS) to identify genomic disorders and susceptibility genes for chronic kidney disease. The position also involves serving as liaison with genotyping and sequencing centers and collaborators for retrieval and management of raw data.

    The position requires excellent communication skills and the ability to work in a collaborative, interdisciplinary environment. It also requires experience working in a Linux/Unix environment, bash scripting and advanced programming skills in R and Python for bioinformatics applications; Perl and/or C/C++ are a plus. Literacy in Genetics and/or Statistics are highly desirable for this position.

    Candidates with demonstrable working experience in academia or the private sector developing and/or working with microarray and NGS analysis and annotation pipelines and familiarity with, idat, cel, plink, fastq, bam and vcf files, will be given priority. Minimal requirement: Master's degree in Bioinformatics, Statistics or CS, or B.S degree with at least 3 years of work experience in programming and/or microarray and/or Next-Gen sequencing studies.

    HOW TO APPLY

    Please send curriculum vitae and names of three references to Dr. Miguel Verbitsky, mmv2003[at]cumc.columbia.edu, Columbia University in the City of New York, Department of Medicine, Division of Nephrology, or apply on the company's website: pa334.peopleadmin.com/postings/2532

    POLICY

    Columbia University is an Equal Opportunity/Affirmative Action Employer.

    Searching for research assistant/associate professor to support bioinformatics efforts in studies of the immunopathology of steroid-refractory severe asthma to identify novel therapeutic targets.

    BACKGROUND

    In a joint collaboration of the University of Pittsburgh and Pieris Pharmaceuticals, our goal is to develop new therapeutic targets for the treatment of steroid- refractory severe asthma. The University of Pittsburgh is an internationally recognized medical research institute, which excels in basic, translational and clinical research to establish breakthroughs clinical therapies.

    We have an opening for a Research Assistant/Associate Bioinformatician position with joint appointments in the Departments of Medicine and Environmental and Occupational Health at the University of Pittsburgh. As a bioinformatician, you will have the opportunity to collaborate with other bioinformaticians at the University of Pittsburgh including those at the Systems Immunology Center and the Biostatistics department. Your research will involve analysis of bulk and single cell RNA-seq data from immune and lung epithelial cells, mass cytometry (CyTOF) data, and clinical and other related data types. Our goal is to extract biological signals from these data to develop new targets for drug development in the area of precision medicine in asthma.

    A successful candidate will have a strong background in computational biology and bioinformatics and excellent communications skills. You will have the opportunity to co-author papers on novel findings.

    REQUIREMENTS

    Qualifications:
    • PhD in bioinformatics, biostatistics, or data science with a strong understanding of the principles of bioinformatics and with 2 or more years of related experience. Or equivalent combination of education and/or experience in the above listed fields.
    Experience:
    • Experience in the application of statistics to biological data. Some experience with RNA-seq and CyTOF data analysis is preferred.
    • Experience in working with a variety of data types
    • Proficiency in R or Python programming for statistical analysis
    • Ability to communicate results verbally and in writing

    HOW TO APPLY

    To apply for this position please submit cover letter, CV and at least 2 references to Anuradha Ray, Ph.D., Professor of Medicine and Immunology at raya[at]pitt.edu and Sally Wenzel, M.D., Professor of Medicine and Chair, Environmental and Occupational Health, swenzel[at]pitt.edu.

    POLICY

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

    BACKGROUND

    The Wistar Institute has an opening for a Managing Director in the Bioinformatics Shared Resource of our NCI-designated Cancer Center. The Bioinformatics Core provides Wistar investigators with expertise in computational analyses of biomedical research data as well as database management and software applications support.

    RESPONSIBILITIES

    The Managing Director is responsible for advising and coordinating work and facilitating projects with clients including assisting with experimental design strategies, performing and managing data analyses, delivering product, and providing publication quality reports with the assistance of the Bioinformatics Core's staff in collaboration with the Bioinformatics Core's Scientific Director.

    The Managing Director will work closely with the Scientific Director to manage the operating and capital budgets as well as ensure timely submission of charge sheets for all work completed by the Bioinformatics Core to facilitate the normal billing cycle.

    The Managing Director will participate in all required activities related to maintaining Wistar's NCI-designation, including writing annual Cancer Center Support Grant (CCSG) progress reports and write-ups for CCSG renewal applications, as well as presenting the Bioinformatics Core during NCI site visits, seminars, faculty and shared resources retreats, and for other purposes as needed.

    REQUIREMENTS

    PhD in mathematics, statistics, bioinformatics, or computational biology with at least five years of broad experience in bioinformatics data analysis required.

    The ideal candidate will have experience in a basic research laboratory and a background in molecular/cellular biology, immunology and/or genetics. Expertise in the latest bioinformatics approaches in high-throughput data analysis: next generation sequencing, microarrays and proteomics, as well as higher level biological interpretational analyses, is highly desirable.

    ABOUT US

    The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. Research discoveries conducted at Wistar have led to the development of vaccines; the identification of genes associated with cancers; and the development of many other significant research technologies and tools.

    HOW TO APPLY

    Please visit usr57.dayforcehcm.com/Cand[...]/1269

    For more information about The Wistar Institute visit our website at www.wistar.org.

    POLICY

    It is the policy of The Wistar Institute to provide equal employment opportunities to all individuals regardless of race, color, creed, religion, national origin, ancestry, sex, age, veteran status, disability, sexual orientation, gender identity, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.

    DESCRIPTION

    • Do you want to work in an environment that promotes free-minded scientific creativity, and translate your findings to impact medical practice and improve healthcare?
    • Are you excited to gain a new understanding of the molecular physiology and pathology of humans?
    • Do you want to join an international group of highly collaborative and successful colleagues that help you achieve your training and research goals?
    • Are you a person who enjoys teamwork across disciplines and within a broader cultural and social context?
    If yes, apply now for one of our 15 fully funded PhD positions. The next PhD Program at CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences, and LBI-RUD, the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases in Vienna will start in September 2020.

    We offer:
    • Supervision by a top scientist and the entire Faculty at CeMM/LBI-RUD
    • A dynamic and highly multidisciplinary international research environment
    • Full access to state-of-the-art facilities
    • A generous scholarship, which covers all research costs, university fees, work-related travel expenses, salary and health insurance for 4 years
    • A PhD degree awarded by the Medical University of Vienna
    You are:
    • An exceptionally motivated PhD candidate with a keen interest in interdisciplinary teamwork and science that nurtures the precise, personalized, predictive and preventive medicine of the future
    • Excellent in writing and speaking English
    • A candidate with (or soon to obtain) a final degree in medicine, biology, chemistry, bioinformatics, computer science, engineering, physics, mathematics or a similar subject (minimum requirement is a four-year Bachelor's degree)
    The research area:
    The 2020 CeMM PhD Program will focus on the thematic areas of Infection, Immunity, Metabolism, Cancer, Rare Diseases, Network Medicine, and Design Chemistry. These areas are built on the pillars of epigenetics and genome integrity, bioinformatics and systems biology, high-throughput genetics, genomics and proteomics, molecular and cell biology, chemical biology, and organic chemical synthesis.

    The program:
    Our goal is to enable and empower students with the ability to successfully design, execute, manage and explain a research project in modern molecular medicine, through a strongly participatory and interactive program. The program is conceptualized in three 'modes': collect, connect and contribute. These will guide you through scientific excellence in data generation and validation to responsible and professional scientific citizenship.

    The host and partner institutes:
    CeMM and LBI-RUD are partner institutes with identical principles of excellence, competitiveness, internationality, as well as mentoring and training, together with the Medical University of Vienna, and the Children's Cancer Research Institute (CCRI) of the St. Anna Children's Hospital they operate in a unique mode of super-cooperation. Here biology is connected with medicine, experiments with computation, discovery with translation, and science with society and the arts.

    The mission of CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences is to achieve maximum scientific innovation in molecular medicine to improve healthcare. At CeMM, an international and creative team of scientists and medical doctors pursues free-minded, basic life science research in a large and vibrant hospital environment of outstanding medical tradition and practice. CeMM's research is based on post-genomic technologies and focuses on societally important diseases, such as immune disorders and infections, cancer and metabolic disorders. The goal of CeMM is to pioneer the science that nurtures the precise, personalized, predictive and preventive medicine of the future. CeMM is part of EU-LIFE an alliance of 13 top research centres in life sciences to support and strengthen European research excellence.

    LBI-RUD, the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases focuses its research on rare diseases of the immune system, hematopoiesis, and the nervous system. This research will not only provide the basis for targeted therapies, but also provide unique and novel insights into human biology far beyond the specific disease. LBI-RUD is highly connected in global networks promoting cooperation and synergy between different disciplines and engaging rare disease patients.

    CeMM and LBI-RUD enjoy a privileged location right in the centre of the Medical Campus Vienna, one of the largest in Europe, door-to-door with the Medical University of Vienna and the Vienna General Hospital (AKH). The Medical University of Vienna is the largest medical research institution in Austria and the AKH is one of the largest hospitals in Europe treating several hundred thousand people a year. Close by, the Children's Cancer Research Institute (CCRI) of the St. Anna Children's Hospital work hard to develop new and improved treatment options for the 250-300 children and adolescents diagnosed with cancer each year in Austria.

    The partner institutions, CeMM, LBI-RUD, CCRI and the Medical University of Vienna are located within walking distance of Vienna's historical city centre. Vienna is repeatedly ranked as the world's best city to live in and is a United Nations city with a large international, English- speaking community. The official language at CeMM is English, and more than 40 different nationalities are currently represented at the institutes.

    For more information about CeMM and LBI-RUD, the PhD Program, and news about our research groups, projects and the research environment, please visit the websites: www.cemm.oeaw.ac.at and rud.lbg.ac.at/en

    CeMM PhD Program:
    The next PhD Program of CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna will start in September 2020. We are offering 15 fully funded PhD positions at CeMM and LBI-RUD and are looking for exceptionally motivated candidates!

    HOW TO APPLY

    Medics, Biologists, Chemists, Bioinformaticians, Computer Scientists, Engineers, Physicists, Mathematicians, and candidates with a degree in a similar subject please apply now.

    Apply now online: www.phdprogram.cemm.oeaw.ac.at/?selection=cemm20

    DEADLINE

    31 January 2020

    Submitter

    BACKGROUND

    A thriving young biotech specialising in drug discovery & development for critical CNS conditions is seeking an exceptional Bioinformatician with strong analysis skills to join their select team. Working with novel human data, this is a stimulating, fast paced environment that offers significant creativity. The chosen candidate will have the chance to take part in ground-breaking research into debilitating diseases such as Parkinson's and Schizophrenia. This position is currently for a 1 year fixed term contract, with potential to convert to a full time post.

    This is a rare and exciting opportunity to enter into the formative years of a truly outstanding biotech company. This organisation is financially well-supported, has a great Cambridge-based location, and offers a competitive package.

    RESPONSIBILITIES

    Key responsibilities may include:
    • Providing support for the CNS expression and epigenetics project, including analysis, data integration and systems approaches. Identification of novel drug targets and application of statistically robust methods
    • Conducting ad-hoc bioinformatics analyses in support of various internal projects, including analysis of internal and public domain expression data, public domain association studies, known variants, and pathway and network analysis
    • Maintaining a close iterative relationship with the biology teams that generate and consume data. You will provide analysis results in easily accessible formats and guide these teams in their use

    REQUIREMENTS

    The ideal candidate will have:
    • A PhD in Bioinformatics, Computational Biology, Data Science or a related discipline
    • Robust data analysis skills
    • A passion for creativity and innovative approaches in statistics
    • Experience with RNA-seq data or GWAS would be highly desirable
    • Extensive experience with R/Bioconductor and/or Python
    • Previous experience in neuroscience/CNS would be beneficial (but not necessary)
    • Fantastic interpersonal & communication skills, and ability to work closely and share complex ideas with biologists/non-informaticians
    • Able to work independently and generate fresh ideas and approaches

    HOW TO APPLY

    For more information, send across your CV to efrancis[at]pararecruit.com or call Emilie on 0121 616 3477.

    Key words: Neuroscience, Neurodegenerative, Computational Biology, Bioinformatics, CNS, Central Nervous System, RNA-seq, Brain Science, Research, Statistical, Quantitative, Parkinson's, Alzheimer's, Schizophrenia, Cambridge, London, Oxford, Stevenage, Biotech, Biomedical, Drug Discovery, Biomarker, novel data, pathway analysis

    DESCRIPTION

    The Human Genomics Lab at The University of Vermont (www.uvm.edu/genomics) is looking for one postdoc in bioinformatics of omics data. Research areas in our lab includes bioinformatics development, disease risk discovery, and translational medicine. We are looking for candidates with expertise in any one or multiple of the three areas. Specific projects can be seen in our webpage (www.uvm.edu/geno[...].html). Please indicate your preferred specific research areas or projects in your first email.

    Our team scientists have newly generated large omics datasets (genome, transcriptome, epigenome, microbiome, phenome, brain images, and others) from multiple specimen types (blood, postmortem brains, neurons, and mice). We are particularly interested in myalgic encephalomyelitis/chronic fatigue syndrome (a common neuroinflammatory disease), and addiction among our selected diseases. We are also interested in long-reads and single-cell sequencing. Candidates have opportunities to participate in new nationwide collaborations; and apply our career awards and fellowship. Publishing in high-impact journals are expected.

    Applicants from biology, genomics, data science or other quantitative fields of any species (plants, animals, microbes) are welcome to apply. Experience with utilizing multiple omics data analysis pipelines and/or genome-wide association tests is desirable. The job updates are online (www.uvm.edu/geno[...]c.pdf).

    COMPENSATION

    Competitive salary and benefits package will be provided with yearly increases.

    HOW TO APPLY

    To apply, please send CV to: dawei.li[at]uvm.edu.

    DEADLINE

    The position is immediately available.

    BACKGROUND

    Our DFG-supported project seeks to characterize the genes which are responsible for the avoidance of self-fertilisation in a ciliate (unicellular eukaryotic microbe). This phenomenon is often caused by mating type and receptor genes. We need a motivated gene hunter to find these. For this project, the genomes and transcriptomes of several strains have been sequenced. We are looking for someone with a bioinformatics background to analyze this data.

    RESPONSIBILITIES

    • Gene prediction and analysis
    • Qualitative analyses of genic differences in these genome and transcriptomes
    • Differential gene expression analyses
    • Protein homology searches
    • Inference of protein function, particularly, of transmembrane proteins, to identify candidate genes involved in mating type determination

    REQUIREMENTS

    • A Masters or PhD degree with strengths in bioinformatics/computational biology and the ability to program. A background in statistics or molecular and cell biology will be a plus.
    • Good English communication skills
    • We are looking specifically for candidates from Germany or surrounding European countries.

    TERMS

    • The position is immediately available.
    • Contract duration: 6 months with a master's degree, or 4 months duration with a PhD

    LOCALE

    The project is a joint one of The University of Tuebingen and Max Planck Institute for Developmental Biology, both in Tuebingen Germany.

    COMPENSATION

    Payment according to qualification and German law governing university contractors.

    HOW TO APPLY

    Applications and queries should be directed in email to both: Prof. Dr. Dieter Ammermann: dieter.ammermann [at] uni-tuebingen.de and Dr. Estienne Swart: estienne.swart [at] tuebingen.mpg.de.

    DEADLINE

    27 December 2019
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