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.
REGN is expanding its genomics efforts and operations, building upon its strengths in mouse genetics (VelociGene®; VelocImmune® and related technologies) and genetics-driven drug discovery and development (e.g. Interleukin-1 blocker rilonacept, FDA approved in 2008; PCSK9 antibody alirocumab, in Phase 3; and several other important pipeline medicines). Specific activities being scaled up will include whole exome and whole genome sequencing projects, functional biology and mouse genetics for disease modeling, and translational research integrating genetics discovery research with REGN's growing pipeline development efforts. Along with others in industry and academia, Regeneron has long seen human genetics and genomics as essential platforms for facilitating and enabling drug discovery and development; we believe technological advances and other trends now make it possible to more fully realize this potential. Goals for REGN's programs include target discovery, indication discovery, and patient-disease stratification through the use of human genetics and related genomic sciences. Regeneron’s interests encompass a breadth of different areas spanning Mendelian and family frameworks, large scale population genetics (both common and rare variants), and gene-gene interactions. The company will rely on its internal assets and technologies as well as continue to collaborate with investigators around the world in pursuing exciting genetics discovery projects. Regeneron is looking for talented and motivated individuals to join the company, complement internal teams and resources, and help lead these exciting programs and expanded efforts.
We are looking for 2 Scientists - Statistical Genetics, which will report into the Head of Statistical Genetics and into the Analytical and Translational Genomics unit. This team will be responsible for the design and interpretation of all genetics studies conducted by the department. Primary responsibilities will include (i) working closely with the computational biologists and programmers to support development of algorithms and automated pipelines for analysis of NGS data, (ii) working with database administrators to optimize data structures and management for downstream retrieval, access, and analysis, and (iii) to lead experimental design and association analyses. Additional responsibilities include:
- Evaluating cohorts and research projects for feasibility of genetic studies and leading experimental design strategies across a breadth of genetics study designs including multiplex families, trios, population extremes (including super controls), case-control studies, imputation, as well as others.
- Performing a variety of statistical genetics analyses of studies for both complex and Mendelian diseases (e.g. linkage, family based association studies, genome wide association studies, next generation sequence analysis, gene x gene interactions, gene x environment interactions).
- Providing expertise in developing workflows and analysis pipelines for projects that involve customized arrays, exome, and/or whole genome sequencing data. Provide statistical genetics expertise required for algorithm development and other analyses related to variant calling, variant filtering and annotation, as well as sophisticated association and burden test analyses.
- Interacting with biostatisticians, epidemiologists and clinical scientists to carry out statistical data programming and genetics data analysis.
- Advising other researchers in the design of experiments and the analysis of genetic data.
- Assisting in the preparation of scientific presentations, manuscripts, reports, and grant proposals including the preparation of tables, figures, and graphs depicting research results.
Experience and Required Skills:
This position requires a PhD in Biostatistics, Genetics, Statistics, Genetic epidemiology, Quantitative genetics, Biocomputing, Bioinformatics or related field or Master's Degree with equivalent level of experience in statistical analysis of high throughput genome sequence and genotype data. Additionally, the ideal candidate will have up to 6 years of experience. This experience should include strong statistical and programming proficiencies with proven expertise in genomic analysis, including analysis of high-throughput whole exome, whole genome, and targeted sequencing data, as well as chip-typing data, association analysis, genome sequence analysis, experimental design and statistical analysis.
Related experience in genomic analyses, knowledge of online tools and databases for genetic analyses, and experience in statistical analyses of large datasets is also required.
The position will also require:
- Significant cross functional responsibilities, communicating results and findings to key internal stakeholders and external collaborators.
- Strong work ethic and enthusiasm for collaborative science.
- Experience working independently and in a team environment.
- Ability to present research to both geneticists and non-specialists.
- Statistical knowledge and experience as well as strong background in computer programming.
- Strong knowledge in use of statistical software (e.g. R, SAS, Perl etc.), with ability to perform statistical analysis, interpret, and effectively communicate results.
- Documented experience in development of computational algorithms in statistical genetics; Develops, codes and tests new methods and applications.
- Good knowledge of command line functions of Linux/Unix OS as well as knowledge of Windows or Mac OS.
- Experience in software development is highly desirable, preferably using C/C++.
- Record of publishing in peer-reviewed journals.
- Fluency in programming (Java, Perl, C, BioPerl in Unix/Linux environment) for applications in computational biology and statistical genetics.
- Fluency with genome databases (such as those relating to genome annotation, genetic variants, and metabolic pathways) and biological & statistical software packages (such as gene annotation programs, R and Plink) that are relevant for the study of computational genetics and genomics.
- Experience in large-scale analysis of next generation DNA sequencing data (e.g. whole exome and whole genome) as well as array based genotype data.
- Desired skills include experience in statistical genetics, R, BioConductor, Perl, with knowledge of QC and management of large genomic datasets generated by microarrays and high throughput sequencing.
Level Commensurate with Experience
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’s unwavering commitment to combining good science & good business.
To all recruitment agencies: Regeneron is using the agency management company, Candex - www.candex.com. Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method without a valid written search firm agreement in place for this position will be deemed the sole property of Regeneron. No fee will be paid in the event the candidate is hired by Regeneron as a result of the referral or through other means.
Regeneron is an equal opportunity employer and is an affirmative action employer.
Job ID: 997BR
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