Early Clinical Development & Experimental Sciences Intern, Summer 2019

Tarrytown, NY, United States
Feb 15, 2019
Required Education
Bachelors Degree
Position Type
Part time
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.

This person will work in Early Clinical Development and Experimental Sciences in Tarrytown, NY. This student will develop an automated image processing pipeline to derive novel quantitative endpoints from clinical imaging data. To this end, efforts could include: image quality control assessments; pre-processing steps such as denoising or image registration; region identification via image segmentation and/or pixel-based classification; computation of features to correlate with clinical outcomes such as treatment response or disease progression, either explicitly using, e.g., texture analysis, or implicitly using state-of-the-art machine learning techniques; and finally, statistical and graphical summarization of image-derived quantities.

Start building your skills at Regeneron.

• Can be an undergraduate, graduate, or PhD student

• Must be pursuing a degree in Math, Imaging Analysis, Biostatistics, Bioimaging, Computer Programming, or Bioinformatics

• Must have experience with programming such as C++ or Python, and MATLAB

• Must have experience with machine learning, with experience using specialized image processing packages such as ITK, OpenCV, and/or Scikit-Image

• Must have familiarity with image restoration (denoising, deblurring), image decomposition into cartoon and texture, image segmentation and edge detection, snakes, curve evolution, active contours, level set methods.

• Demonstrated experience with quantitative image analysis methods related to image restoration, image segmentation & classification, texture analysis & feature extraction; data visualization

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.