Intern - Molecular Profiling & Bioinformatics Intern, Summer 2020 - Ta

Compensation

: $89,776.67 - $157,310.00 /year *

Employment Type

: Full-Time

Industry

: Scientific Research



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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 within Technology & Discovery Centers in Tarrytown, NY. There are 3 openings for Summer 2020. Each opening is described below.

Position 1:

This position is in our Molecular Profiling group in Tarrytown, NY. This student will be developing an artificial intelligence method, such as natural language processing, for the classification of public gene expression studies. In particular, this work focuses on the extraction of features like therapeutic focus area and sample class from broad data set summaries and metadata. Altogether these methods will allow us to curate a large database of public gene signatures that can be used to empower data sciences in genomic studies.

Position 2:

This student will mainly work on cell type classification problem and statistical comparison method for cell composition. Single cell clustering is an essential step in analyzing single cell data. Louvain clustering algorithm is mostly used, but we realize the algorithm has some limitations that need to be improved. This student will test other options and develop new methods to cluster single cells using scRNA-seq data. If the intern has more time, they will work on HLA typing project in collaboration with the RGC, or data integration method across different sequencing data type.

Position 3:

This position is in our Molecular Profiling group. This student will be directly involved in the effort to discover new vaccine and/or treatment targets in microbial pathogens, including viruses, bacteria and fungi. This student will use a novel computational approach which takes advantage of the thousands of genome sequences available in public databases. This student will survey and compare these genome sequences to select the top most conserved genes. These genes will then be curated and ranked according to finely-selected criteria pertinent to antigens. Overall, this project aligns with the Molecular Profiling mission to characterize new gene targets with great antigenic potential in order to control the spread of infectious diseases.
Start building your skills at Regeneron.

Position 1:

Must be pursuing a Master's or PhD

Must be pursuing a degree in Data Science, Computational Biology, Computer Science, or related discipline

Desired technical skills include, but are not limited to, AI, machine learning, and natural language processing

Position 2:

Must be pursuing a Master's or PhD

Must be pursuing a degree in Bioinformatics, Computational Biology, Statistics, Biostatistics, Bioengineering, Computer Science, or related discipline

Desired technical skills include, but are not limited to, Genomics and large data set analysis.

Position 3:

Must be pursuing a Master's or PhD

Must be pursuing a degree in Data Science, Computational Biology, Computer Science, Viral-bacteria Genome Analysis, or related discipline

Desired technical skills include, but are not limited to, one or more programming languages in: R, Python, Linux bash, Perl, C++; Basic knowledge of genomics data, statistical modeling theory, machine learning, Bayesian statistics, cluster computing.

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:

Housing stipend available for those students who meet mileage requirements

A free shuttle is offered from the North White Plains or Tarrytown train stations to the Tarrytown, NY or Sleepy Hollow, NY campuses

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.
Associated topics: biochemistry, biological engineer, biophysics, biosynthetic, fermentation, metabolic, msat, neuro, neurodegenerative, nutrition * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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