The Regeneron Genetics Center (RGC) is a wholly-owned subsidiary of the Company, whose goals are to apply large scale human genetics to identify new drug targets and to guide the development of therapeutics programs and precision medicine. Building upon Regeneron’s strengths in mouse genetics and genetics-driven drug discovery and development, the RGC specializes in ultra-high-throughput exome sequencing, large scale informatics and data analysis encompassing genomics and electronic health records, and translating genetic discoveries into new biology and drug discovery opportunities. The RGC leverages multiple approaches including large population based studies, Mendelian genetics and family based studies, founder population genetics, and large-scale disease focused projects and has developed a network of over 50 collaborations with research organizations around the world. Including some of the largest sequencing studies in the world, such as the DiscovEHR study in collaboration with Geisinger Health System, and an initiative to sequence 500,000 participants with the UK Biobank, the RGC has built one of the largest human genetics databases, including sequence data from over several hundred thousand participants and rapidly growing. Our interests encompass a breadth of different areas across all therapeutic areas and the RGC is highly integrated into all facets of research and development at Regeneron. 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 providers of collaborating health-care systems, improving patient outcomes, and identifying novel targets for drug development.
These positions are in Functional Modeling in Tarrytown, NY. There are 2 openings for Summer 2018. Each opening is described below.
Position 1: Genome wide associations studies (GWAS) of common genetic variants are a powerful tool to unravel genomic loci associated with common traits and complex human diseases. However, GWAS often do not identify the rare genetic loci underlying an association. Consequently, fine mapping GWAS signals using whole exome sequencing analysis can lead to the identification of rare functional variants which can be responsible of disease development. Integration of GWAS and exome sequencing data for fine mapping traits can be a very powerful tool to identify more effectively disease-causative genes. Following on this, the student will work on a project to create an analytical platform to integrating GWAS genetic data with exome sequencing and phenotype information as well as existing catalogues of known associated loci to fine map relevant disease and quantitative trait loci – to identify new and putatively causative mutations for follow up.
Position 2: The student will support on-going projects to develop and test in-vitro cell culture models of human disease gene variants resulting mainly in metabolic disorders. The project will involve mainly cloning of variants, cell culture work including standard cell lines and terminally differentiated pluripotent stem cells. Preferred candidate will possess background in molecular and cell biology, biochemistry.
Start building your skills at Regeneron.
• Must be a graduate student
• Must be pursuing a degree in Statistics, Genetics, Computational Biology, or other quantitative data science fields
• Experience with command line Linux environment and experience with Perl/Python/shell scripting
• Must have a working knowledge of fundamental concepts in genetics/genomics and gene mapping
• Experience working with large genomic data sets and familiarity with public resources related to gene mapping
• Must have hands on experience with statistical inference using logistic and linear regression methods
• Must be a graduate student
• Must be pursuing a degree in Molecular and Cell Biology, Biochemistry, Genetics, or Bioengineering
• Must be able to perform routine culturing and cloning of mammalian cells
• Must be able to design, execute, and control experiments according to protocols
• Must be able to perform laboratory calculations and manipulations independently
• Must be motivated, eager to learn, and a good team player
General Intern Program Information:
• Must be enrolled in, or accepted to, an academic program pursuing a Bachelor’s, Master’s, PhD or PharmD
• Summer Program is full-time (~40 hrs/wk) for at least 10 weeks and is paid
• Prefer demonstrated leadership in areas such as campus activities, clubs, sports or the community
• Minimum GPA of 3.0
• You will work with a specific manager on a project(s)
• Enjoy weekly 1 hour Intern Program events: learn about other areas of the company from VPs and other employees, soft skills workshops, networking, volunteering, and more!
• Present to your team on your summer project
Transportation and Housing:
• A free shuttle is offered from the North White Plains or Tarrytown train stations to the Tarrytown campus
• Get to know other incoming Interns on our closed LinkedIn page when you accept an offer
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 agencies: 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 will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.