Bioinformatics Data Analyst - 2463BR

Company Name:
Job Summary and Essential Functions:
Known for its scientific and operational excellence, Regeneron is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. Regeneron markets medicines for eye diseases, colorectal cancer, and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including hypercholesterolemia, oncology, rheumatoid arthritis, allergic asthma, and atopic dermatitis.
The Molecular Profiling group is seeking a bioinformatics research associate with experience in bioinformatics, statistics, and large-scale data analysis. The successful candidate will analyze proprietary and public cancer profiling data to support target and biomarker discovery & development, as well as implement and develop analysis pipeline using cutting-edge algorithms and statistically sound methodologies
Responsibilities include, but are not limited to:
Analyze NGS (next generation sequence) and microarray data using proprietary and public tools to support targets and biomarker discovery
Implement algorithms and develop data analysis pipelines according to project needs
Compile and curate historical molecular profiling experiments
Prepare clear, concise and easy-to-understand presentations and documentations for each project
Communicate results with scientists and refine analysis based on feedback
Organize and integrate proprietary and public molecular profiling data and results to enable data sharing with and visualization for bench scientists
Experience and Required Skills:
Education & Experience:
This position requires a B.S./M.S. degree and minimum of 3-5 years of post-degree experience in computational biology, bioinformatics, or biostatistics.
Required skills:
Expertise in cancer NGS data analysis to detect gene expression change, mutation, copy number variation, fusion and alternative splicing
Experience with analyzing cancer profiling data in the public domain such as TCGA
Experience with a variety of molecular profiling platforms such as microarray and NGS, and their data analysis best practices
Proficiency in R/Matlab and scripting languages such as python, perl, ruby
Expertise in bioinformatics tools and databases such as UCSC Genome Browser, spotfire, Ingenuity IPA
Familiarity with mathematical modeling (e.g., machine learning) and geneset/pathway/network analysis; Keen interest and determination to be at the cutting-edge of algorithms and model building
Ability to work both independently and collaboratively
Team spirit and commitment to share and collaborate
Excellent communication and presentation skills
Preferred skills:
Experience with virus (endogenous and exogenous) finding, HLA genotyping and TCR profiling using NGS data is a plus
Ability to develop custom tools to mine and integrate large-scale genomic/phenotypic data sets
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 Regenerons unwavering commitment to combining good science & good business.
Apply online at:

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