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Position Overview: Candidates must hold a PhD or MD/PhD (or equivalent). The main criteria for selection are an established record of global leadership and innovation in bioinformatics, and a track record of mentorship and training of high-quality personnel in various emerging areas in the field. Queen's University is committed to establishing an international reputation in health related informatics, building on existing assets that include: the High Performance Computing Virtual Laboratory (HPCVL), a cluster of computer systems and storage resources shared by five universities and three colleges; the biobank resources and ongoing capabilities of the Canadian Cancer Trials Group (formerly known as the NCIC Clinical Trials Group), which is a major national and international cooperative oncology clinical trials organization; and, the national database of chronic disease management developed by the Canadian Primary Care Sentinel Surveillance Network (CPCSSN), a trans-Canadian network of 11 primary care networks. In addition, robust linkages exist between HPCVL and the NCIC CTG with the informatics programs of the Ontario Brain Institute (http://www.braininstitute.ca) and the Ontario Institute for Cancer Research (http://oicr.on.ca), respectively.

The successful candidate will be expected to play a leadership role in developing additional strength in bioinformatics at the University through recruitment of new faculty, and by establishing collaborative links between existing researchers in the School of Computing and the Departments of Biomedical & Molecular Sciences and Pathology & Molecular Medicine, as well as scholars in other disciplines. Queen's has excellent undergraduate and graduate programs and the chairholder will have abundant opportunities to education through teaching, training and supervision. Salary is commensurate with qualifications and experience.

HOW TO APPLY: The University invites applications from all qualified individuals. Queen's is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, Aboriginal peoples, persons with disabilities, and LGBTQ persons. All qualified candidates are encouraged to apply; however, in accordance with Canadian Immigration requirements, Canadian citizens and Permanent Residents of Canada will be given priority.

To comply with Federal laws, the University is obliged to gather statistical information about how many applicants for each job vacancy are Canadian citizens / permanent residents of Canada. Applicants need not identify their country of origin or citizenship, however, all applications must include one of the following statements: "I am a Canadian citizen / permanent resident of Canada"; OR, "I am not a Canadian citizen / permanent resident of Canada". Applications that do not include this information will be deemed incomplete. A complete application consists of: (i) a cover letter (including one of the two statements regarding Canadian citizenship / permanent resident status specified in the previous paragraph), (ii) a full and current curriculum vitae (including a list of publications, awards and grants received), and (iii) a summary of the proposed plan of research. Please send your application electronically to Dr. Roger Deeley, Chair of the search committee (c/o Ms. Barbara Latimer: bal[at]queensu.ca).

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant's accessibility needs. If you require accommodation during the interview process, please contact Ms. Barbara Latimer: bal[at]queensu.ca.

Academic staff at Queen's are governed by a Collective Agreement between the Queen's University Faculty Association (QUFA) and the University, which is posted at: [link].

Appointments are subject to review and final approval by the Principal. Only nominees external to Queen's University will be considered. (Please note that, for the purposes of this competition, Queen's Term Adjuncts and Adjunct-1s will be considered as external nominees.)

DEADLINE: Review of applications will commence on March 1, 2016 and will continue until the position is filled.

RESPONSIBILITIES: We are seeking a Bioinformatician to join the Zeller team in the area of metagenomics and human multi-omics data analysis, integration and interpretation. You will develop new analytical methods, implement robust software and integrate tools into workflows and service portals. The position is embedded in the context of the German National Bioinformatics Infrastructure Network (de.NBI), of which the Heidelberg Human Bioinformatics (HD-HuB) node is committed to providing human-centered bioinformatics tools and services. Your experience acquired while working with these tools will be the basis for delivering insightful, high-quality data analyses, showcasing the potential of these tools in a range of different research projects. For this you will have the opportunity to work closely with other scientists from Georg Zeller's, Peer Bork's, Wolfgang Huber's, Jan Korbel's and / or Toby Gibson's groups. Additionally, you will interact with, and ideally participate in, internal bioinformatics community initiatives at EMBL (e.g. the Bio-IT project) and explore synergies with external de.NBI / HD-HuB support.

REQUIREMENTS: Requirements for this position include: a PhD degree, preferably with a technical, methods-oriented focus and with exposure to biological research. Programming skills (knowledge of R and / or Python are most valuable) and familiarity with Unix / Bash are essential. The ideal candidate will additionally have experience with some of the following: developing and maintaining bioinformatics tools; deploying software, e.g. as a web service, Galaxy pipeline or virtual machine; and / or knowledge of HTML and web development. Expertise in analyzing microbiome or other high-throughput genomic data is a plus. Good communication and organisational skills including written and spoken English are required (German language proficiency is not essential). A desire and ability to work well within a team are key to success in this environment.

HOW TO APPLY: Please apply online through http://www.embl.org/jobs

Internal reference number: HD_00817

For more information, please (informally) contact Georg Zeller zeller[at]embl.de.

DEADLINE: 31st March, 2016

POLICY: EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation.

Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

MSC is searching for a Senior Computational Biologist who will have responsibilities in the broad area of computational analysis of diverse data sets from high-throughput assays such as microarrays, RNAi screens, mass spectrometry/proteomics, high-content imaging, and SNP genotyping. This opportunity is a full-time position with MSC and it is located onsite in Bethesda, Maryland.

RESPONSIBILITIES: * Closely collaborate with multiple researchers to answer biological questions of interest by performing quality control of experimentally generated data, relevant statistical analyses of the processed data, and bioinformatics analyses to refine or interpret the resulting discoveries in the context of third-party knowledge from literature or other public databases. * Build databases and software infrastructure to load, store, and organize the diverse data sets, associated metadata, and analysis results from the high-throughput assays, in order to facilitate efficient data retrieval and data mining. * Collaborate with peer computational biologists in the lab, to conduct cutting edge bioinformatics and systems biology research, such as developing novel statistical methods for the analysis and integration of high dimensional data sets to gain biological insight. * Develop and work with custom hard -- and software solutions to accomplish various goals.

REQUIREMENTS: * Ph.D. in computational biology, bioinformatics, systems biology, or relevant disciplines * 3+ years of hands on research experience with the analysis of high-throughput data sets * Sound knowledge of statistics and quantitative modeling * Solid computer programming skills with proficiency in Matlab/R, SQL, and at least one scripting language (Perl/Python/Ruby) * Proficiency in C/C++ and/or Java and experience with multiple operating system platforms (Windows, Mac, Linux)

LOCALE: Bethesda,Maryland

HOW TO APPLY: Please send resume and cover letter to elisa[at]mscweb.com.

POLICY: Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

Massachusetts General Hospital, which is a teaching affiliate of Harvard Medical School, provides an outstanding environment for biomedical research. The successful candidate will have ample opportunities to work with the top scientists in the field.

RESPONSIBILITIES: The successful candidate will take responsibility for the analysis of multiple types of sequencing data, including ChIP-Seq, RNA-Seq, etc. Most of the projects will require integration of data from epigenetic, expression, and other studies, both publicly available and newly generated. The candidate will join in a number of the projects already ongoing in the group and will participate in the planning and carrying out of new projects.

REQUIREMENTS: The ideal candidate will have: * A Ph.D. or M.S. in Bioinformatics, Computational Biology or a related field * Substantial experience in the analysis of genomic data * Experience in biochemistry or molecular biology (a plus, but not required) * Track record of publications in peer-reviewed journals * Extensive scientific programming skills: working knowledge of R is essential; proficiency in other languages, including Perl, C/C++, Python, and Java is a plus. * Experience with UNIX/Linux operating systems * Excellent communication skills and willingness to work in a multidisciplinary team

TERMS: The level of the position will be determined based on the candidate's qualifications, and is expected to be at the level of Postdoctoral Researcher. Initial appointment will be for one year with the possibility of extension based on progress evaluation.

LOCALE: Boston, MA

HOW TO APPLY: Please send your CV, best paper(s) in PDF format (no more than three), and contact information for three references to oettinger[at]molbio.mgh.harvard.edu and tolstorukov[at]molbio.mgh.harvard.edu. If available, please also include a brief statement of research interests in your application.

DEADLINE: Review of applicants will begin immediately and will continue until the position is filled.

We are looking for an enthusiastic, highly motivated Postdoctoral Fellows who will develop their career by contributing to our study and joining a team of internationally renowned researchers at the Sanger-EBI Single Cell Genomics Centre, investigating the fascinating properties of thymic epithelial cells (TEC).

TEC are unique because they express almost the complete set of protein-coding genes. Single cell approaches are only now able to answer important questions central to a molecular understanding of this promiscuous gene expression (PGE) in TEC. The planned research programme will use unbiased genome-wide transcriptome and epigenome, and selected protein expression analyses at single cell resolution to map intracellular and population-wide expression landscapes. This project is funded by a Wellcome Trust Strategic Award ("The Homunculus in our Thymus: A Cellular Genomics Approach", PIs G. Hollnder and C. Ponting).

The candidate will be a highly talented postdoctoral fellow with strong statistical and/or analytical skills. Excellent knowledge of current issues in single cell data generation and analysis along with understanding of statistical theory are highly desirable.

This position offers scope for applying these methods to questions directly relevant to TEC biology as well as the development of new single cell transcriptomic analytical approaches.

Other Information: As a world leader in human genomics, genome informatics, and whole genome DNA sequencing, the Wellcome Trust Sanger Institute (WTSI) is now focusing large-scale genotyping, DNA sequencing, and mathematical analysis on illuminating the biology of different cell types.

Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. The post is a three year fixed-term contract.

REQUIREMENTS: * A PhD in Genomics, Genetics, Computational Biology (or similar), and a passion for problem solving * An understanding, experience and published outcomes from analysing and interpreting large datasets using at least one statistical package (e.g. R/SPLUS, SAS) and experience in programming (e.g. Perl, Python, C++, Java) * Excellent written and spoken English are essential and the ability to effectively communicate with collaborators and occasionally present oral communication to large groups * Proven independent working style, technical problem solving, data analysis and generation of novel ideas

PREFERENCES: * Extensive programming experience and computational analysis of next generation sequence data * Good experience with (single-cell) DNA- and RNA-seq analytical approaches * Appreciation of current bioinformatics/computational approaches * Experience in supervising and training other laboratory personnel in specialized techniques and presenting results at scientific conferences (posters and talks) * Training in statistical methods appropriate for biological research and experience in genomics approaches and in method development would be advantageous.

COMPENSATION: PDF Salary range: GBP 30655 to GBP 38428 per annum plus excellent benefits.

Our Benefits include: Defined Benefit Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Nursery and 25 days Annual Leave plus Bank Holidays. We also have a gym, two cafes, a nursery, dining facilities, and a free campus Bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

TERMS: Fixed-term for 3 years

ABOUT US: The Sanger Institute is a charitably funded research centre that applies the power of genomics to uncover the basis of genetic and infectious disease. We conduct science at a scale and speed that sets our research apart. Our passion is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens.

The Institute is located near Cambridge on the stunning Wellcome Trust Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), the Centre for Therapeutic Target Validation, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre. It is an excellent environment in which to work and collaborate with researchers on campus and around the world and benefit from cross-fertilisation of ideas.

To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. In addition the Campus is home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

HOW TO APPLY: Please visit https://jobs.sanger.ac.uk/home.html

Please include a covering letter and CV with your application.

DEADLINE: Closing date for applications: 21st February 2016, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

RESPONSIBILITIES: Deep genomics is seeking a highly experience and motivated bioinformatics analyst to: * Develop genetic variant annotation systems using machine learning * Process and analyse RNA-sequencing data, e.g. for expression analysis * Work with cancer data-sets from collaborators and from publicly available resources * Perform analysis on somatic (tumor) specimens and identify putative driver mutations * Assist in the design and implementation of benchmarks for variant annotation algorithms, including Deep Genomics' in-house machine learning algorithms * Draft manuscripts for high-impact publications

REQUIREMENTS: * B.Sc. or M.Sc. in Computer Science and/or Biology * PhD in Bioinformatics * Strong background in genome biology, ideally focusing on computation and analysis * Strong publication record in top journals (e.g. Science, Nature, Cell) * Recent experience working with RNA-sequencing and other Next Generation Sequencing (NGS) data sets for cancer, including data from The Cancer Genome Atlas (TCAG) * Experience working with public data sets, including COSMIC, dbSNP, HapMap * Experience working in scripting languages (Python, R, Perl), SQL databases, and Linux * Strong understanding of machine learning concepts (training, cross validation, features, regularization, etc.) and experience with basic algorithms (e.g. regression; LASSO) * Strong understanding of performance metrics (log likelihood, AUROC, AUPR, etc.) * Experience using with NGS alignment (e.g. BWA, GSNAP, Bowtie, TopHat), variant calling (e.g. GATK, SAMtools, MuTect) and variant annotation tools (at least one of ANNOVAR, VEP, SnpEff) * Experience in human genetics research data is preferred. * Experience working with micro-RNA (miRNA) data is desired. * Experience with pathway/gene-set enrichment analysis (e.g. GSEA) is desired.

COMPENSATION: Salary: $95,000--$110,000 CAD per year Benefits: Standard Company Benefits

TERMS: Terms of Employment: Full-time, Permanent Hours: 40 hours / week

LOCALE: Business Address/Work Location: MaRS Centre, Heritage Building, 101 College Street - Suite 320, Toronto, Ontario, Canada, M5G 1L7

HOW TO APPLY: Contact information: Contact hiring[at]deepgenomics.com. Correspondence may be addressed to Matt Cahill. Please include the job reference number (DG_0011) in your subject line.

Employer: Deep Genomics Incorporated Position title: Senior Bioinformatics Analyst (NOC 2121) Vacancies: 1

Imagine is an interdisciplinary research center focused on human genetic diseases located at the Necker Hospital campus in the heart of Paris (France): http://www.institutimagine.org. Imagine is affiliated with the Universit Paris Descartes (Sorbonne Paris Cit), the INSERM French National Institute for Medical Research and the Paris Public Hospitals Group (Assistance Publique-Hpitaux de Paris). Coming in March 2016 Imagine will launch a new research Laboratory in Clinical Bioinformatics under the direction of Dr. Antonio Rausell. The laboratory will develop statistical methods and bioinformatics pipelines with a clinical focus on the following two main research lines:

1) Computational assessment and prioritization of human rare genetic variants with a potential clinical impact and application to disease-specific sequencing projects. Both coding and non-coding variants will be considered. The work will integrate large-scale genome/exome sequencing, transcriptomes (RNA-seq), high-throughput proteomics (mass spectrometry), immune phenotyping and clinical datasets both from public and in-house sources. Development of predictive tools will include machine-learning techniques such as Bayesian classifiers and SVMs. The goal is implementing software to help decision-making at the clinic.

2) Statistical analyses of high-dimensional single-cell data of human cells (mainly single-cell RNA-seq) with a focus on immune disorders and susceptibility to infectious diseases. Computational methods will be developed to cope with different noise sources and complex experimental designs: e.g. multiple conditions/stimuli and time points, simultaneous analyses of host and intracellular pathogens and several read-outs from the same cells, e.g.: genome and transcriptome, transcriptome and proteome, etc. The goal is the identification of cell markers with clinical value for diagnosis and treatment.

RESPONSIBILITIES: In this context, the Clinical Bioinformatics lab is hiring two postdocs with complementary expertise in order to i) take the lead in one of the two previous research lines, ii) being able to assist the other line with specific skills if needed, and iii) set up the suite of common data and pipelines to build the core's lab. As someone said before: "we hire smart people so they can tell us what to do".

REQUIREMENTS: Applicants should have a PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Statistical Genetics or Medical Informatics and at least one first author paper in a peer-reviewed journal. Demonstrated experience in NGS and large-scale `omics' data analyses and strong data analyses skills are required. Experience in the research topics described above is preferable. Knowledge/interest in human innate immunity, infectious diseases, population genetics or structural biology will be appreciated.

We are looking for knowledgeable candidates with versatile skills, with an eye on basic science and another on translational applications in the clinic. Flexibility to move across different projects, curiosity to enter into new topics and a team-building spirit are required. The position will require a constant interaction with experimental labs and clinicians.

HOW TO APPLY: Interested candidates should submit a single pdf application file to recruitment011.clinicalbioinfo[at]institutimagine.org with the following items: * Detailed CV (maximum 4 pages) with list of publications * A 3-page summary of past research, describing your specific contributions to your papers * A 3-page statement of research interests, indicating which of the above described lines you would like to lead, the skills that you could contribute to our lab and your career development plans * BSc/MSc/PhD official transcripts * Contact information of three references

Informal inquiries can be addressed to Dr. Antonio Rausell to: recruitment011.clinicalbioinfo[at]institutimagine.org

DEADLINE: The desired starting date is March-June 2016. However, the positions could remain open beyond this date until suitable candidates are found.

The successful candidates will join efforts to extend the range of k-mer based analyses of metagenomes to unprecedented scales by leveraging the power of a massive-memory computer endowed with 24 terabytes of RAM. This dedicated hardware architecture will enable in-memory analyses of terabytes of data (e.g. factorizations of very large matrices), empowering the joint mining of thousands of metagenomic samples, for example to reconstruct across samples the genomes from low abundance bacterial strains.

The successful candidates will be working with the latest technology in a freethinking and dynamic environment. We are looking for individuals who have good communication skills and enjoy working in a multi-disciplinary environment. The position is based at the Genoscope department of CEA's Genomics Insitute, and is available immediately.

REQUIREMENTS: The candidates should have strong skills in software engineering and have first-hand experience of processing very large datasets in a scientific or commercial domain. We are a multi-disciplinary team, and the successful applicant will work collaboratively with a range of other specialists, therefore teamwork and a collaborative ethos are required.

Essential Skills: * Postgraduate qualification in a data-driven field, with educational emphasis in machine learning, statistics or data science * Proven software engineering skills with proficiency in Java or C++ * Experience of processing large datasets on parallel computing infrastructures * Experience with numerical linear algebra libraries like BLAS/LAPACK or Apache Mahout * Strong analytical and problem solving skills * Ability to track and incorporate innovative tools and methods in the public domain * Ability to independently carry out creative research with tenacity * Strong communication skills, both oral and written

TERMS: The two assignments are for a two-years period each.

ABOUT US: Rapid technological advances in genomics have transformed modern biology. From its inception, Genoscope has been at the forefront of large-scale sequence-based science. Today, our institute performs biological and bioengineering research with applications in environment, healthcare and alternative energy. The Genoscope department of CEA's Genomics Institute harbors a multidisciplinary team of approximately 120 staff, postdocs and technologists with expertise in microbiology, biochemistry, bioinformatics, computational biology, molecular biology and analytical chemistry.

A major basic research activity in the department aims at developing a systems-level understanding of microbiomes relevant to environment and human health. Applied research activities are focused on enzyme and microbial engineering for bioremediation, biological detection and biofuels development.

The Institute is located near Paris (France) on the stunning Evry Genopole Campus, which is part of the emerging Paris-Saclay federal research university. This growing and dynamic site is an excellent environment in which to work and collaborate with researchers on campus and around the world, and benefit from cross-fertilisation of ideas.

HOW TO APPLY: Review of applications will begin immediately. Interested individuals should send a CV, cover-letter and the names of three references to bruls[at]genoscope.cns.fr with a subject line "adamme-2016 positions".

RESPONSIBILITIES: In this position, scientists will validate and manage genomic datasets; statistically analyze phenotypic, genotypic, and environmental data; and create predictive models for both medical and forensic use. The Geneticist/Bioinformatician is also expected to be capable of developing new methodologies, tools, and pipelines, as well as driving the identification and implementation of emerging technologies and statistical tools. This position is also expected to provide support for computational biology and genomics experts towards development of computational tools such as data analysis pipelines. The scientist will assist with the development of new project ideas and subsequent writing of proposals to submit for funding. Finally, scientists in this position will support the company's drug development teams with the creation of genetically informed, personalized therapeutics.

REQUIREMENTS: * PhD or PhD completion expected in the next 6 months in Genetics, Bioinformatics, Computational Biology, or related field * Expertise in bioinformatic analysis of genomic and phenotypic data with 3+ years of experience in a professional or academic environment * Proficiency with genomics and statistical software tools such as PLINK, R, Matlab, SAS, MDR or equivalent in an academic or professional environment * Experience with scientific programming in a language such as Python, C/C++, Perl, Java, or equivalent in an academic or professional environment

PREFERENCES: Not required, but considered a "plus": * Experience with bioinformatic tool and/or pipeline development in an academic or professional environment * Strong writing ability and successful proposal writing experience * Experience with development of novel project ideas and execution * Familiarity with the field of forensic DNA analysis

LOCALE: Reston, Virginia

COMPENSATION: $80,000

HOW TO APPLY: Send the following to careers[at]parabon.com

1. Cover letter describing (a) your genotype/phenotype experience, and, (b) date you are available to begin working

2. Resume

POLICY: There is no H1-B visa sponsorship available for this position.

RESPONSIBILITIES: The successful candidate will develop and implement statistical/computational methods for analyzing data from high-throughput DNA and RNA sequencing studies on mental disorders, and for predicting the functionality of coding/non-coding variants in disease pathogenesis. The candidate may also perform analysis on real data, to evaluate and improve computational methods. Projects may be tailored to suit the candidate's research interest and expertise.

REQUIREMENTS: A suitable candidate should have a doctoral degree in a quantitative field, such as bioinformatics, computational biology, biostatistics or computer science, with strong interest in genomics. A successful candidate should have sufficient experience in algorithm development, scientific programming, and machine learning.

HOW TO APPLY: To apply for this position, please email a cover letter, a CV, a statement of research interest, and contact information for three references to

Dr. Kai Wang Zilkha Neurogenetic Institute University of Southern California 1501 San Pablo St Los Angeles, CA 90089 Email: kaiwang[at]usc.edu

RESPONSIBILITIES: * Perform both software development as well as data analysis; including information retrieval and text-driven data mining and analysis. * Develop software using a variety of software tools, utilizing programming languages such as Java, C, SQL, scripting languages (e.g. Perl, Python), and analysis platforms (e.g., Matlab, R) in a UNIX environment. * Develop and apply predictive analytic models to a variety of scientific data. * Need to be well-rounded and adaptable to a small team environment, with excellent oral and written communication skills. * Conduct statistical analysis, as well as utilize experience/familiarity with data partition and visualization concepts like classification, clustering, similarity metrics, machine learning (supervised and unsupervised), and natural language processing. * Decompose high-level scientific and user requirements into functional requirements. * Resolve technical issues through debugging, research, and investigation. * Responsible for version control / documentation of artifacts produced through approved procedures and protocols. * Work closely with technical project leadership and client to plan, develop, and deliver system modernization, enhancement, and operations and maintenance capabilities

REQUIREMENTS: * Bachelor's degree and 3+ years relevant professional experience in variety of data mining and information retrieval. Additional education (MS or higher) can substitute for experience. * Experience working with scientific or engineering data * Analytical experience should include skills with statistical analysis, information retrieval, natural language processing, classification / clustering, and various machine learning methods. * Strong analytical skills and experience in information retrieval and text-driven data mining and analysis * Programming skills in some of the following: Java, C, SQL, scripting languages (e.g. Perl, Python); and analysis platforms (e.g., Matlab, R) in a UNIX environment * Experience working in a Unix or Linux environment * Skills in problem decomposition across multiple processors, achieving optimal processor performance, and development of computationally efficient algorithms. Skill in computational performance tuning

Competencies: * Strong problem identification and analytical skills * Possession of excellent oral and written communication skills including the ability to create and deliver clear reports and documentation

PREFERENCES: * Experience working in small teams in a research, analytical, or engineering environment preferred. * Knowledge of computational biology and bioinformatics is a plus. * Ability to perform SQL queries * Degree in computer science, information systems, bioinformatics, engineering, or science is preferred. * Knowledge of or experience with text analytic tools such as Mallet, Mahout, and/or OpenNLP is a plus.

TERMS: Full Time Employment

LOCALE: Bethesda, MD

COMPENSATION: Negotiable

HOW TO APPLY: Please apply directly online via http://www.jobs.csra.com to job #6827

DEADLINE: ASAP

POLICY: EEOC

RESPONSIBILITIES: * Use IT and scientific computing to drive computational analysis of scientific data sets across a variety of biomedical science domains at the National Institutes of Health, often by adapting algorithms to fit research analysis needs. * Collaboratively develop software applications using a variety of programming languages. * Develop and maintain extensions for a MediaWiki-based platform. * Need to be well-rounded and adaptable to a small team environment, with excellent oral and written communication skills. * Conduct unit- and integration-tests to achieve acceptable software quality. * Decompose high-level scientific and user requirements into functional requirements. * Resolve technical issues through debugging, research, and investigation. * Responsible for version control / documentation of artifacts produced through approved procedures and protocols. * Work closely with technical project leadership and client to plan, develop, and deliver system modernization, enhancement, and operations and maintenance capabilities.

REQUIREMENTS: * Bachelor's degree and 3+ years relevant professional experience in variety of biomedical informatics development and computational analysis (or equivalent combination of education and experience) * Experience working with scientific or engineering data * Position requires a variety of software development skills - including database skills in PostgreSQL and/or Oracle, as well as knowledge of multiple programming languages (more than one of the following): Python, Java, PHP, Perl, R, etc. * Experience working in a Unix or Linux environment * Proficiency in object-oriented and responsive web design * Experience with MySQL, PostgreSQL, or other relational database products. Working knowledge of SQL design and/or NoSQL database technologies is a plus. * Hands on experience with additional tools such as - Subversion (SVN), PHPUnit, Selenium, Lucene, and/or Ant

Competencies: * Strong problem identification and analytical skills * Possession of excellent oral and written communication skills including the ability to create and deliver clear reports and documentation

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News for Career Center - Bioinformatics.org