Bioinformatics.org
[Regeneron]
[Repositive.io]
[OMICtools]
Not logged in
  • Log in
  • Bioinformatics.org
    Membership (39409+) Group hosting [?] Wiki
    Franklin Award
    Sponsorships

    Careers
    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    Research
    All information groups
    Online databases Online analysis tools Online education tools More tools

    Development
    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    Forums
    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - News

    Featured announcements

    Submit a job announcement | Summary view of positions by date | Subscribe or unsubscribe

    Latest announcements
    Submit Archive Subscribe

    BACKGROUND

    The Division of Genomics and Data Sciences (GDS), an integral component of the Arthritis and Clinical Immunology (ACI) Research Program at the Oklahoma Medical Research Foundation (OMRF), seeks to understand the fundamental question of how genotype influences phenotype in autoimmune and inflammatory diseases. Ongoing research in the division includes investigations into the mechanisms by which long non-coding RNAs influence autoimmune cell gene expression and function; the genetic characterization of systemic lupus erythematosus, sarcoidosis, Sjögren's syndrome, multiple sclerosis, and rheumatoid arthritis; the impact of genetic variation on epigenome function and 3D chromatin topography in the context of autoimmunity and inflammation; and the application of statistical, bioinformatic, machine learning, deep learning, and text-mining approaches to define disease-associated gene networks. We invite qualified candidates that share our interests and mission for clarifying how genotype influences phenotype in the context of autoimmunity and inflammation to apply for established Assistant or Associate Member level positions (Assistant or Associate Professor equivalent).

    GDS-ACI investigators have access to several outstanding OMRF Core facilities including the CAP-accredited Clinical Genomics Center, Quantitative Data Analysis Core, Immunophenotyping Core, Flow Cytometry and Cell Sorting Core, and Imaging Core. Extensive autoimmune disease and control sample collections are available in the CAP-accredited OMRF Biorepository: Sample Procurement and Processing Core, and growing longitudinal patient cohorts of SLE, UCTD, ILE, autoimmune disease pregnancy, rheumatoid arthritis, and multiple sclerosis are also available through state-of-the-art clinical facilities. A NIAID-designated Autoimmune Centers of Excellence (U19), NIAMS Oklahoma Rheumatic Diseases Research Cores Center (P30), NIGMS Oklahoma Shared Clinical and Translational Resources (U54), NIAID Autoimmunity Prevention Center (U01), NIAMS Oklahoma Sjögren's Syndrome Center of Research Translation (P50), and four NIH Centers of Biomedical Research Excellence (P20/P30) grants currently support ACI-GDS.

    REQUIREMENTS

    Minimum Qualifications:
    Candidates must have an M.D. and/or Ph.D. degree in biological or biomedical science fields, and a minimum of 3 years of relevant post-doctoral research experience or training. Senior candidates will also be considered. Successful candidates must demonstrate research productivity with a strong publication record, and the capacity to define and implement an independent research program via the submission of a research plan/career goal statement or, ideally, with external, peer-reviewed ongoing funding. Selected candidates are expected to maintain a vigorous and independently funded research program that addresses fundamental questions in the field of genetics, genomics, epigenetics and/or data sciences in the general area of autoimmunity and/or inflammation.

    PREFERENCES

    Preferred Qualifications:
    Collaborative and creative candidates whose research interests complement and expand the GDS-ACI investigators' current research expertise will be given highest priority. Candidates with expertise in one or more of the following areas are of particular interest:
    • Large scale epigenome characterization and mechanisms
    • The application of large scale CRISPR screens and/or massively parallel reporter assays
    • The development of human model systems using inducible pluripotent stem cells
    • Application of genetic engineering approaches to define molecular mechanisms influencing phenotypes
    • Single cell transcriptomic and epigenomic technologies
    • Approaches to data integration and visualization in genomic/epigenomic studies

    COMPENSATION

    Selected candidates will receive a generous, multi-year startup package with significant, sustained salary and research support, as well as access to considerable departmental clinical and translational research infrastructure.

    ABOUT US

    OMRF is a highly collaborative, efficiently administered, independent, not-for-profit biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC) in Oklahoma City. OMRF investigators enjoy close scientific interactions with OUHSC faculty and have the opportunity to participate in OUHSC graduate programs. Life in Oklahoma City offers low cost of living, easy commutes, a vibrant downtown with high quality restaurants, professional and collegiate sports teams, and numerous arts and entertainment venues.

    HOW TO APPLY

    Apply now at apptrkr.com/1136296

    BACKGROUND

    The Max Planck Institute of Immunobiology and Epigenetics in Freiburg, Germany invites applications for the position of a Bioinformatician to start as soon as possible for an initial period of two years, with the possibility of extension.

    Your Opportunities:
    Our group supports many deep-sequencing projects at the institute and from the Collaborative Research Center "Medical Epigenetics" (MEDEP). The open position provides an excellent opportunity for collaborations within a large network of interdisciplinary scientists from the Freiburg region. You will have the opportunity to contribute directly to research projects from experimental design to data analysis and interpretation. The successful applicant will join a strong inter-disciplinary team that provides valuable know-how and access to a large Sequencing Facility (HiSeq3000, HiSeq2500, NextSeq), as well as a high-performance Data Center with Petabyte-scale storage solutions.

    RESPONSIBILITIES

    Your Tasks:
    Responsibilities include the development, comparison and testing of software solutions for the analysis of deep-sequencing data. In close interaction with our experimental partners, you will provide algorithmic solutions to their analysis and interpretation. You will also help with established training programs and support our partners with experimental design, quality control and the analysis of genome-wide data.

    REQUIREMENTS

    Your Qualifications:
    We are looking for motivated team players with strong communication skills and the desire to work in a dynamic environment. The successful applicant will have proven experience with deep-sequencing analysis and specific computational skills:
    • MSc or PhD degree in bioinformatics or equivalent experience in a related field
    • Proven expertise in programming, scripting and statistical analysis (esp. with python and R)
    • Experience with analysis of genome-wide data
    • Organizational talent and multi-tasking ability
    • Very good command of English language

    COMPENSATION

    We Offer:
    Based within close vicinity to both France and Switzerland, our institute hosts a vibrant community of international researchers, state-of-the-art facilities, and modern office spaces. At the heart of the Black Forest, Freiburg offers a family-friendly atmosphere and excellent recreational possibilities for cultural and outdoor activities.

    Salary will be based on previous experience according to TVöD guidelines.

    HOW TO APPLY

    Have we sparked your interest? Please submit your complete application (including a resume, CV, contact details of referees) via our online application portal at www.ie-freiburg.mpg.de until January 15th , 2018.

    For informal inquiries please contact: manke[at]ie-freiburg.mpg.de

    BACKGROUND

    The next PhD Program at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna will start in October 2018. We offer 15 fully funded PhD positions and are looking for exceptionally motivated PhD candidates with a keen interest in genomics, medicine and interdisciplinary teamwork.

    The 2018 CeMM PhD Program will focus on the thematic areas of Infection, Immunity, Metabolism, Cancer and Network Medicine. These areas are built on the pillars of epigenetics and genome integrity, bioinformatics and systems biology, chemical biology, high-throughput genetics, genomics and proteomics, and molecular and cell biology.

    REQUIREMENTS

    To be eligible to enroll in the CeMM PhD Program, all candidates are required to have a final degree (minimum requirement is a four-year Bachelor's degree) in medicine, biology, chemistry, bioinformatics, computer science, engineering, physics, mathematics or a similar subject. The working language at CeMM is English, i.e. excellent written and oral communication skills in English are mandatory.

    COMPENSATION

    The successful candidates will be awarded a generous scholarship, which covers all research costs, university fees, work-related travel expenses, salary and health insurance for 4 years. The PhD degree will be awarded by the Medical University of Vienna.

    ABOUT US

    CeMM is an international research institute of the Austrian Academy of Sciences. The mission of CeMM 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 operates in a unique mode of super-cooperation, connecting biology with medicine, experiments with computation, discovery with translation, and science with society and the arts. The goal of CeMM is to pioneer the science that nurtures the precise, personalized, predictive and preventive medicine of the future.

    CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance to Vienna's historical city center. 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 institute.

    HOW TO APPLY

    APPLY NOW! For further information about the PhD Program, and to apply through the online system, please refer to our website: www.cemm.at/phd-program

    DEADLINE

    The application deadline is 2nd February 2018.

    BACKGROUND

    The Health Sector of the Université catholique de Louvain, located in Brussels, Belgium, invites applications for a professorship in bioinformatics.

    Institutional funding to hire a full-time scientist (master in bioinformatics) will be made available as a starting package to assist the candidate in research and teaching.

    RESPONSIBILITIES

    Applicants are expected to become leaders in the field of bioinformatics, with an excellent publication track record. The selected candidate will develop innovative research projects in bioinformatics applied to biomedical sciences, in synergy with the institutes of the Health Sector (uclouvain.be/en/r[...].html).

    The appointed candidate will teach bioinformatics (in English or in French) to biomedical students, with a focus on human genomics. In the long term, development of other teaching activities on related topics will be encouraged.

    REQUIREMENTS

    • PhD and international post-doctoral experience with demonstrated research expertise in bioinformatics and biomedical sciences. Previous experience in cross-fertilization between both domains would be a competitive advantage.
    • Teaching qualities in bioinformatics (from basics to omics). Proven track record of successful teaching at University level is a plus.
    • Documented success in obtaining funding
    • Ability to set up and lead a research group
    • Good organizational, social and communication skills. Ability to set up collaborations
    • Proficiency in spoken and written English. Knowledge of French is optional.

    TERMS

    Full-time position

    LOCALE

    Brussels, Belgium

    HOW TO APPLY

    Contact Prof. Jean-Baptiste Demoulin – jb.demoulin[at]uclouvain.be

    DEADLINE

    February 9, 2018

    BACKGROUND

    Several PhD project opportunities starting immediately in bioinformatics, genomics, and statistical genetics.

    We are seeking highly motivated students to fill two (2) PhD positions as part of the megafaunal evolution/extinction research team at the Australian Centre for Ancient DNA (www.adelaide.edu.au/acad/). The research program cuts across traditional research boundaries, incorporating cutting-edge molecular biology techniques, population genetic analyses, statistical modeling, and palaeo-climate/environmental reconstructions. Themes of the program are reconstructing the population history of living & extinct species (using ancient DNA to directly sample past populations), identifying the drivers of Pleistocene/Holocene megafaunal extinction by integrating genomic data and models of past climate & environment (e.g. Cooper et al. Science 349:602-606), exploring the prevalence and impacts of past admixture/hybridisation events (e.g. Soubrier et al. 2016 Nature Communications 7:13158), and characterising the genomic evolution of species through time. Focal species are drawn from across the world - primarily Australia, North America, and Eurasia - and include extant and extinct bison, horses, cave lions, wolves, bears, rhinos, thylacines, and kangaroos/wallabies (among many others).

    REQUIREMENTS

    The candidates must have, as a minimum, an excellent undergraduate academic record and meet the English Language Proficiency (ELP) requirement. The call is open to international and Australian domestic students with backgrounds in bioinformatics, mathematics, statistics, computer science, population/quantitative genetics, or a related field. While a background in biology is desirable, it is not a prerequisite for success, as training opportunities in genetics, evolution, molecular biology, or other related areas can be provided during the PhD. Successful candidates will be involved in analysing genomic datasets from extinct animal species/populations from across Australia, North America, and Eurasia, with special emphasis on reconstructing demographic histories (including inference of hybridisation/admixture and past responses to climate/environmental change) and identifying drivers underlying adaptation and/or extinction.

    PREFERENCES

    Good computational and analytical skills are of high importance and a successful candidate would be competent in one or more of the following:
    • Statistical analysis of large datasets and/or mathematical modelling
    • Fluency in using Linux systems, with a prior hands-on experience with Bash scripting
    • Programming in a scripting language such as Python and/or R

    LOCALE

    The PhD will be situated in the Australian Centre for Ancient DNA (ACAD; www.adelaide.edu.au/acad/), a highly dynamic group based at the University of Adelaide, with world leading researchers in ancient DNA, human evolution, epigenetics, microbiomics, and megafaunal extinction.

    HOW TO APPLY

    Interested applicants are encouraged to send a CV (including names and contact details of three references) and a cover letter to Dr Kieren Mitchell (kieren.mitchell[at]adelaide.edu.au).

    Submitter

    RESPONSIBILITIES

    The role requires a highly motivated, innovative, driven, and independent bioinformatics analyst who will perform analysis of the next generation sequencing (NGS) data generated in the Banchereau Laboratory. This is a highly collaborative environment with multiple projects in the field of Immunology and Cancer. Analyst is expected to collaborate, integrate, and communicate with the bench scientists conducting the experiments and generating the data. Major tasks include running and improving analytical pipelines to process transcriptomics (RNA-seq and Pacbio ISO-seq data) as well as epigenomics datasets (ATAC-seq) in a high performance computing environment (cluster). Role will be directly supervised. Manager will determine assignment and prioritization of projects, as well as assessment of progress on projects, in direct consultation with analyst.

    APPLY HERE: bit.ly/BA-6997

    Key Responsibilities:
    • Processing, visualization, and analysis of transcriptomics datasets, including Illumina RNA-seq and Pacbio ISO-seq long-read technology (60%)
    • Processing and analysis of epigenomics datasets generated by ATAC-seq (20%)
    • Implementing and running tools/packages for differential transcriptome and alternative splicing analyses in large in-house and public datasets, including TCGA (10%)
    • Arrange and deposit NGS data to appropriate public repositories (e.g., dbGaP, GEO, etc.) upon manuscript acceptance/publication (5%)
    • Implementing and/or developing publically-accessible databases to share Lab data and results with the biomedical research communities (5%)

    REQUIREMENTS

    • Level II requires MS or PhD degree in Bioinformatics or relevant biological sciences degree. Incumbents who have not achieved a PhD may compensate with a Master's degree and at least five years of professional work experience in bioinformatics. Works with limited supervision for tasks performed.
    • Level III requires MS or PhD degree in Bioinformatics or relevant biological sciences degree. Incumbents who have not achieved the PhD level will have at least seven years profession work experience in the bioinformatics domain. Incumbents with a PhD will have completed a bioinformatics postdoctoral fellowship and/or have a minimum of two years of professional work experience in the bioinformatics domain.
    • Proficiency in R and Python programming languages
    • Strong knowledge of UNIX and shell programming
    • Previous experience in analyzing next generation sequencing datasets (e.g. RNA-seq, ATAC-seq, ChIP-seq)
    • Capable of performing analysis in a high performance computing environment (cluster)
    • Preferred: Experience in Pacbio long-read sequencing datasets, especially in ISO-seq
    • Preferred: Knowledge in immunology and cancer research

    COMPENSATION

    What do we have to offer?
    JAX offers a dynamic and supportive work environment, competitive salaries and a comprehensive benefits package including a medical plan, outstanding retirement plan, generous paid time off and tuition reimbursement. JAX offers an MBA program, a fitness center with an award winning wellness program, and a fully operational primary care facility available to employees and their families.

    ABOUT US

    The Jackson Laboratory (www.jax.org) is a nonprofit biomedical research institute with over 1,800 employees across three campuses nationwide. Our mission is to discover precise genomic solutions for human disease, and to empower the global biomedical community in the shared quest to improve human health. JAX's research institute in Connecticut, The Jackson Laboratory for Genomic Medicine (JAX-GM), is transforming medicine by improving patient care, lowering costs, and increasing life span and health span. JAX-GM's research focuses on the complex genetic causes of disease, and on the development of genomic solutions tailored to each person's unique genetic makeup.

    JAX-GM sits on a 17-acre site on the campus of the University of Connecticut Health Center. The 183,500-square-foot facility opened in the fall of 2014. Now, it houses over 300 biomedical researchers, technicians and support staff in state-of-the-art computing facilities and laboratories. Our employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients' lives.

    JAX-GM resides in the scenic town of Farmington, in the state's capitol region. The Hartford region, which offers some of the best public schools in the country, is made up of both bigger cities and smaller, charming historic New England towns. JAX-GM is also geographically located within 2 hours of Boston and New York and is close to multiple transportation systems including bus lines, highways, railroads and international airports.

    Our Values:
    INTEGRITY – Courage and commitment to do what is right
    PEOPLE – Inspiring our people to enhance the health of all
    ONE TEAM – Unified by our promise to transform medicine and science
    EXCELLENCE – Achieving world-class results
    INNOVATION – Leading with discovery and creative solutions
    STEWARDSHIP – Caring for and enhancing the resources entrusted to us

    Most importantly, every position contributes to JAX's mission of discovering precise genomic solutions for human disease and empowering the global biomedical community in our shared quest to improve human health.

    HOW TO APPLY

    APPLY HERE: bit.ly/BA-6997

    POLICY

    The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

    DESCRIPTION

    The Nebraska Food for Health Center at the University of Nebraska-Lincoln (UNL) invites applications for a position as a tenure-track Assistant Professor in Computational Biology. We are looking for highly-motivated individuals interested in developing/implementing analytical and computational methods to investigate complex host-diet-microbiome interactions in health and disease. The individual's research program will intersect with the Nebraska Food for Health Center (NFHC), and include collaboration with the UNL Quantitative Life Sciences Initiative, the Holland Computing Center, and other collaborators at the University of Nebraska. Collaborative work is expected to contribute to analysis of large-scale, high-dimensional data sets (microbiome data, nutritional data, metabolic data, anthropomorphic data, and clinical marker data) that are emerging from NFHC research. More information about the position can be found at the NFHC website (foodforhealth.unl.edu/open-positions).

    The university and department are strongly committed to achieving diversity among faculty and staff. We are particularly interested in receiving applications from members of under-represented groups and strongly encourage women and persons of color to apply for this position.

    Minimum qualifications include a Ph.D. in computational biology, bioinformatics, statistics, data and computational sciences or other related fields. Preferred qualifications include demonstrated experience in development and deployment of analytical or computational tools for multi-dimensional data sets that include nutritional/dietary data and clinical or biomedical measurements. Evidence of a strong publication record, demonstrated success or potential for obtaining funding, excellent communication skills, and experience working and leading multi-disciplinary teams. Successful applicants will join a team of faculty across three campuses that are united by the discovery-translation research platform of the NFHC. The highly collaborative, team-oriented environment of NFHC facilitates collaboration across multiple disciplines, united by a collective interest in discovering molecular components of food that influence microbiome composition/function and understanding the mechanistic basis through which such molecules promote health or prevent disease.

    ABOUT US

    UNL is a land grant institution with a strong commitment to research, teaching, outreach, and service. UNL is a Carnegie Foundation "Doctoral Universities: Highest Research Activity" university and is committed to further strengthening its research standing.

    HOW TO APPLY

    For consideration, applicants must complete the online faculty form and submit application materials at employment.unl.edu/postings/56970. The following attachments are required: 1) A letter of interest with statements on research plans and teaching philosophy; 2) CV with contact information for three references; 3) Cover letter; and 4) PDFs of up to five relevant publications (must be combined into one document). Review of applications will begin January 15, 2018, and continue until the position has been filled. Inquiries regarding the position or the application process should be directed to the Search Committee Chair, Dr. Stephen Kachman, steve.kachman[at]unl.edu.

    POLICY

    As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See www.unl.edu/equi[...]ation.

    DESCRIPTION

    The Children's Hospital of Philadelphia and the Department of Pathology and Laboratory Medicine at the Perelman School of Medicine at the University of Pennsylvania seek candidates for an Assistant Professor position in the non-tenure research track. The successful applicant will have experience in the field of developing new computational algorithms and software tools to address major challenges in the sequencing of genomic regions relevant to Immunogenetics. The Immunogenetics laboratory within the Division of Genomic Diagnostics of the Pathology Department forms a highly interactive team that uses molecular biology, statistical genetics and bioinformatics to study the intricacies of the Major Histocompatibility Complex (MHC). Responsibilities include contributing to ongoing studies, as well as developing independent research in Immunogenetics. Areas of particular interest include the sequencing characterization of the 4Mb of the MHC and further investigating the presence and functional role of miRNAs within the MHC. Applicants must have an M.D. and/or Ph.D degree and have demonstrated excellent qualifications in research.

    Applicants must also have a degree in Bioinformatics, Genomics, Computer Sciences, Electrical Engineering or a closely related field. The applicant must have a proven track record of outstanding computational research reflected through journal publications and conference presentations. The candidate will demonstrate excellent communication skills, develop successful collaborations and have the ability to perform self-directed bioinformatics research. The investigator will be expected to obtain significant research funding.

    We seek candidates who embrace and reflect diversity in the broadest sense.

    HOW TO APPLY

    Apply for this position online at: www.med.upenn.edu/apps[...]=DESC

    POLICY

    The University of Pennsylvania and The Children's Hospital of Philadelphia are EOEs. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

    RESPONSIBILITIES

    The Genomics and Multiscale Biology Institute and Department of Genetics and Genomic Sciences invite applications for a postdoctoral fellow position to perform computational biology/bioinformatics research on human aging and age-related diseases. The position is supported through a newly funded NIH project. The group focuses on developing novel computational methods to better understand human aging and diseases by leveraging the big biomedical data including but not limited to next generation sequencing data, gene expression, DNA methylation and proteomic data.

    REQUIREMENTS

    Candidates with recent PhD degree in computational biology and bioinformatics, computer science, statistics, biology, mathematics, physics, or related majors are encouraged to apply. Familiarity with one or more programming languages (R, python, Matlab, etc.) and good statistical trainings are desirable. Previous experience in biological data handling is preferred.

    TERMS

    Three years

    LOCALE

    New York City

    COMPENSATION

    We provide competitive compensation commensurate with experience. Housing subsidy is provided to selected candidates and they are eligible for a number of standard benefits including medical, dental, and vision coverage, along with a variety of life insurance and disability plans.

    ABOUT US

    The Icahn School of Medicine at Mount Sinai (ISMMS), located next to Central Park on the Upper East Side of Manhattan, New York city, is one of the foremost medical schools in the United States. In 2017, the Icahn School of Medicine at Mount Sinai ranks 22nd in research according to U.S. News & World Report, 13th in NIH funding among U.S Medical Schools, and 2nd in NIH funding per primary investigator.

    For more information about the group, please visit research.mssm.edu/tulab/.

    HOW TO APPLY

    Interested candidates should submit CV and names with contact information of three referees to Dr. Zhidong Tu ( zhidong dot tu@mssm dot edu) for consideration.

    DEADLINE

    Position is open now until filled.
    Opportunity: Senior Cancer Analyst @ Genomics England - London, UK
    Submitted by Eugene Mc Daid; posted on Thursday, November 30, 2017

    Submitter

    BACKGROUND

    100,000 Genomes Project – Cancer Genomics – NGS!

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.

    A fantastic new opportunity has become available for a Senior Cancer Bioinformatician to join their highly motivated Bioinformatics team that uses state-of-the-art approaches to whole genome sequences in the areas of cancer, rare diseases, sequence alignment and variant calling.

    RESPONSIBILITIES

    Your main responsibilities as a Cancer Analyst will be:
    • Monitoring quality of WGS data
    • Benchmarking tools for WGS analysis
    • Performing computational analyses for various projects
    • Developing and implementing new features for cancer sequencing data analysis
    • Establishing general bioinformatics resources

    REQUIREMENTS

    The ideal Cancer Analyst should meet the following requirements:
    • Educated at MSc or PhD level (or equivalent experience) in Bioinformatics or Cancer Molecular Biology with several years' work experience in the field
    • Good knowledge of and experience working in Cancer Genomics
    • Solid skillset in Bioinformatics and Computational Biology
    • Experience with full cycle NGS data analysis, handling large data sets and setting pipelines
    • Strong programming skills (Python, R)
    • Practical knowledge of NGS algorithms

    COMPENSATION

    You'll be able to work in their brand new offices in Central London and in return you will receive competitive salary and have the opportunity to work within a successful company in a fantastic location in Central London.

    ABOUT US

    Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    HOW TO APPLY

    If you'd like to know more and are interested in applying, please contact Anna on alauterjung[at]pararecruit.com or +44 (0) 121 616 3469 with an up-to-date CV. Look forward to hearing from you!

    Keywords: Cancer Analyst, Cancer Bioinformatician, NGS, WGS, Whole genome sequencing, Bioinformatics, Bioinformatician, Cancer, Python, R, Computational Biologist, Computational Biology, Cancer Genomics, Cancer Molecular Biology, PhD, MSc, variant calling, pipelines, UK, London

    RESPONSIBILITIES

    OMRF's Arthritis & Clinical Immunology Research Program is seeking a data analyst/bioinformatician to support both our clinical and basic research programs in autoimmune disease working to apply precision medicine and molecular phenotype classification approaches. This individual will be responsible for high content data analysis, data visualization and reporting for publications and grants. This position involves working both independently and as part of the translational informatics team.

    REQUIREMENTS

    Minimum Qualifications:
    Bachelor's degree in Bioinformatics, Math, Statistics, Biostatistics, Computer Science, MIS, or relevant field and 2 years relevant experience or a combination of relevant experience and education.

    Strong project management, organizational, attention to detail, analytical, customer service, and verbal and written communication skills required.

    Physical Demands:
    Regularly moves about the work environment, talks, hears and listens. Occasionally lifts or moves up to 10 pounds. Requires the ability to see. The noise level and typical work conditions are consistent with an office environment.

    PREFERENCES

    Preferred Qualifications:
    Master's degree or PhD in Biostatistics/Bioinformatics desired. Programming experience is a plus.

    COMPENSATION

    We offer attractive salaries & comprehensive benefits package.

    HOW TO APPLY

    Apply online at apptrkr.com/1126262

    POLICY

    EOE/AA

    RESPONSIBILITIES

    About the Role:
    We are seeking a highly motivated Computational Biologist within the Cancer Precision Medicine Advanced Cancer Cultures Team which is located within the Clinical and Experimental Pharmacology (CEP) Group to conduct cutting edge translational research on preclinical cancer models. The focus of our research is translational medicine with an emphasis on preclinical therapeutics and precision medicine.

    The aim of precision medicine is to guide patient treatment via profiling of individual tumours. To date, great advances have been made in the characterization and cataloguing of molecular aberrations associated with various cancers, however our ability to translate genomic information into clinical benefit has yielded mixed results. To complement these molecular analyses, we are generating cell culture models from each patient to functionally interrogate tumour biology, including drug response. The advent of advanced cell culture techniques offers tremendous promise in efficiently generating patient-relevant preclinical models in a timely manner, such that laboratory results may be fed back into the clinic to potentially affect clinical decisions.

    In collaboration with physicians at the Christie Foundation NHS Trust, we are generating a biobank of cultures that faithfully recapitulate the tumours from which they were derived. The aim of this post is to help molecularly characterize a library of patient-derived cultures from a variety of cancer types, which will be used to functionally interrogate tumour biology with the goal of translating laboratory results into clinical benefit.

    REQUIREMENTS

    About You:
    You should have at least a BSc in Computational Biology, Mathematics or related discipline plus significant relevant experience analysing genomics data sets. Additionally you should have experience writing complex code in at least one of the following: Pearl, Python, R, Matlab, C, C++ or Java.

    TERMS

    Duration: Fixed term until 31 March 2022

    COMPENSATION

    Salary in the range of £23,800 - £36,000 per annum, dependent upon experience

    HOW TO APPLY

    To apply for this position please visit our website: www.cruk.manchester.ac.uk

    For any informal enquiries about this post, please contact Kris Frese, email: kristopher.frese[at]manchester.ac.uk

    Job Ref: MI/17/80

    DEADLINE

    Closing date: 3 January 2018

    DESCRIPTION

    Join our dynamic team of researchers at the cutting edge of developing and applying translational and computational data science methods to autoimmune disease research. Dr. Joel Guthridge and Dr. Judith James are seeking a Post-Doctoral Fellow, Staff Scientist, Biostatistician or Bioinformatician specialist to be part of the team working to apply precision medicine and molecular phenotype classification approaches to clinical and translational autoimmune disease research. The successful candidate will help lead efforts to apply computational and new statistical tools to molecular phenotype pipelines for patient characterization and stratification, assist with data analysis, modeling, visualization, interpretation and quality control of clinical and basic science data and provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches. We have access to an extensive curated electronic clinical research health record and experimental data warehouse. The team utilizes high throughput biomolecular assays, deep cellular phenotyping, single cell genomic and proteomic methods through our Human Phenotyping Core. We also have access to high performance computational resources both in-house and through cloud-based resources.

    REQUIREMENTS

    Minimum Qualifications:
    Doctorate in Biostatistics, Bioinformatics or related quantitative field. Evidence of applied analysis experience essential. Demonstrated computer (UNIX, R or similar statistical package) and communication skills. Must be efficient with time and project management, with a strong organizational ability with exquisite attention to detail. Must have the ability to multi-task and work both independently and as a member of an interdisciplinary team with complementary skill sets.

    Physical Demands:
    Regularly moves about the work environment, talks, hears and listens. Occasionally lifts or moves up to 10 pounds. Requires the ability to see. The noise level and typical work conditions are consistent with an office environment.

    PREFERENCES

    Preferred Qualifications:
    Programming skills, data visualization and ability to develop meaningful interfaces for end-users to access high-dimensional data in a meaningful way are highly desired. Exposure to biomedical, genetic and/or clinical research preferred. Experience with univariate and multivariate analyses, clustering, pathway, genetic and genomic data analyses and bioinformatics is helpful. Experience or training in database design, development, implementation and data structures are also helpful.

    COMPENSATION

    We offer attractive salaries & comprehensive benefits package.

    HOW TO APPLY

    Apply online at apptrkr.com/1126284

    POLICY

    EOE/AA

    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.
    Submit Archive Subscribe

     

    [G6GFindr]
    Copyright © 2017 · Scilico, LLC