Molecular Profiling Intern, Summer 2018

Tarrytown, New York
Mar 20, 2018
Required Education
Associate Degree
Position Type
Part time
Position Summary

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 commercializes medicines for eye diseases, high LDL-cholesterol, atopic dermatitis and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including rheumatoid arthritis, asthma, pain, cancer and infectious diseases.

These positions are in Molecular Profiling & Bioinformatics in Tarrytown, NY. There are 3 openings for Summer 2018. Each opening is described below.

Position 1: NGS core lab at Molecular Profiling group is a high throughput next generation sequencing core and provides cutting-edge molecular profiling tools such as single-cell genomics for R&D researchers at Regeneron. The student will for help in developing or optimizing single cell sequencing platforms. The student is preferred to have working experience in molecular biology labs.

Position 2: With the advance of single-cell RNA-Seq (scRNA-Seq) techniques, we have accumulated high volume scRNA-seq dataset from different projects. Researchers have developed different statistical methods for scRNA-Seq study, especially for projection of high dimensional data for visualization. The student will investigate existing methods for scRNA-Seq projection, such as PCA, tSNE The student will also be encouraged to explore other machine learning or deep learning methods for scRNA-Seq data analysis, which may provide a better grouping of samples in terms of cell types/states. The intern will also have the opportunity to gain knowledge on high performance computing environment for sequencing data analysis.

Position 3: Recent research indicates that mutations in cancer can influence not only tumor growth but the immune microenvironment. For example, mutations that disrupt DNA repair pathways have been shown to lead to increased sensitivity to immunotherapy. We have identified somatic mutations that are associated with various aspects of the tumor immune microenvironment – antigen presentation, response to immunotherapy, inflammation, etc. We plan to extend this analysis to identify germline variants that also associate with tumor immune status. This may lead to germline variants that can predict response to immunotherapy or help informed personalized immunotherapies to treat cancer. Certain variants were found to associate with different tumor immune signatures in data from The Cancer Genome Atlas (TCGA).

The student will work on a project involving the design of a specific genetic analysis using available Regeneron Genetics Center (RGC) resources to determine the significance and strength of these variant associations in the larger population. This analysis design will include determining the appropriate control population based on demographics, refining the variant list based on putative loss of function (pLOF) scores, and comparing testing individual variants to different ways of combining variants to form an overall gene burden score. The project should result in a well-researched analysis proposal and potentially a refined list of variants that are found to be associated with tumor immunity and occur more often in subjects with cancer diagnoses than those without.

Start building your skills at Regeneron.
Project 1:
• Must be an undergraduate student
• Must be pursuing a degree in Biology or Biochemistry
• Must have molecular biology skills.
Project 2:
• Must be a PhD student
• Must be pursuing a degree in Computer Science, Bioinformatics, or Computational Biology
• Must have strong programming skills in R/Python and Linux
• Must be familiar with machine learning / deep learning methods.
• Must have a basic knowledge in molecular biology and next generation sequencing techniques.
Project 3:
• Must be an undergraduate or graduate student
• Must have a basic understanding of genetics and statistics

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.

Requisition Number: 11214BR