Bioinformatics R&D Developer

Posted on by Charlie Johnson
Job ID:
Job date: 2014-10-01
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Company : Regeneron Pharmaceuticals 

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Role : Research Scientist 


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Job Description:
Job Location: Tarrytown, NY Auto req ID: 2360BR Job Posting Title: Bioinformatics R&D Developer Person Type: Regular Posting Category: Regeneron Genetics Center Location: Tarrytown Job Summary And Essential Functions The Regeneron Genetics Center is a wholly-owned subsidiary of the Company organized to collaborate with health systems and research groups to elucidate, on a large scale, genetic factors that cause or influence a range of human diseases. Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the Center will specialize in ultra-high-throughput exome sequencing and computational biology; discovery of genotype-phenotype associations through linkage to well-annotated de-identified patient electronic medical records; and validation of discoveries using Regeneron’s VelociGene® technology. Our interests encompass a breadth of different areas such as Mendelian and family frameworks, large-scale population genetics (both common and rare variants), and gene-gene interactions. Program goals include target discovery, indication discovery, and patient-disease stratification. Objectives include advancing basic science around the world through public sharing of discoveries, providing clinically-valuable insights to physicians and patients of collaborating health-care systems, and identifying novel targets for drug development. We Are Looking For a Bioinformatics Scientist To Analyze Proprietary Human Genetic Variation Data And Associated Medical Information To Uncover Gene-disease Links And New Targets, New Indications For Existing Drug Targets, And New Ways To Stratify Disease-bearing Populations. Implement And Develop Analysis Pipeline Using Cutting-edge Algorithms And Statistically Sound Methodologies. This Scientist Will

  • Collaborate with scientists from Human Genetics, Pre-clinical, and Clinical departments to design experiments linking variation to medical information. Communicate results with scientists, refine analysis based on feedback, and plan/prioritize follow-up experiments. Prepare clear, concise and easy-to-understand presentations and documentation for collaborators, senior management and regulatory agencies.
  • Have responsibility for variant calling and filtering as part of DNA analysis pipelines and subsequent association analyses.
  • Analyze proprietary and public genetics data to support identification of new drug targets.
  • Analyze proprietary and public genetics data to suggest new indications for existing drug therapeutics.
  • Analyze proprietary and public genetics data to support Clinical studies
  • Analyze proprietary and public genetics data to suggest new disease stratification strategies.
  • Participate in team effort of organizing and integrating proprietary and public genetics data to enable data sharing and visualization for bench scientists.
  • Contribute to team effort of developing genetics analytical strategies and establishing data analysis best practices.
This Position Requires a PhD In Biology, Bioinformatics, Biostatistics, Or Computational Biology With Strong Publication Record And 5-10 Years Experience. This Experience Must Include
  • Expertise in analysis of human next-generation sequencing data and knowledge of best practices.
  • Expertise in assessment of genetic variation and deleterious effects.
  • Experience in analysis genetic sequencing data in the public domain.
  • Familiarity with modeling (e.g., machine learning) and network building (e.g. gene regulation networks), as well as a keen interest and determination to be at the cutting-edge of algorithms and model building.
  • Experience with relevant Sequencing Analysis tools; such as BWA, GATK, SAMtools or related.
  • Experience with NGS HLA sequence analysis and/or HLA typing a plus
  • Understanding of the complexities of genomic analysis work in highly variable and difficult to sequence genomic regions a must
  • Familiarity with bioinformatics tools and software such as R, Linux, Perl, Python, Ruby, Java, Ruby on Rails, MatLab, SQL, and web development tools.
  • Ability to work both independently and collaboratively with commitment to share data across the organization.
  • Excellent communication and presentation skills required.
  • Experience with Cloud-based analytical tools and parallel processing is strongly preferred, but not required
This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron Genetics Center’s unwavering commitment to combining good science & good business. To all agencies: Please, no phone calls or emails to any employee of Regeneron or the Regeneron Genetics Center about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron or the Regeneron Genetics Center via-email, the internet or in any form and/or method will be deemed the sole property of the Regeneron Genetics Center, unless such search firms/employment agencies were engaged by Regeneron or the Regeneron Genetics Center for this position and a valid agreement with either Regeneron or the Regeneron Genetics Center is in place. In the event a candidate who was submitted outside of the Regeneron or Regeneron Genetics Center agency engagement process is hired, no fee or payment of any kind will be paid. RGC is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job ID: 2360BR  

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