Summer Intern - Computational Chemistry & Artificial Intelligence

Arvinas • New Haven, CT

19h • Remote

About The Position

The internship project will explore approaches to ternary complex modeling and have a focus on evaluating internal, commercial, and literature workflows and tools. Collaborating closely with members of the Arvinas CADD team, the intern will configure, run, and benchmark ternary complex modeling workflows. The intern will present results at CADD team meetings and will summarize their work as a talk or poster at Arvinas at the conclusion of the internship.

This position reports to the Senior Research Investigator, Computational Chemistry and can be located remotely within the U.S.

Requirements

• Experience using protein structure predictions methods (AlphaFold, RoseTTAFold, Boltz, etc.) is required.
• Experience with a cheminformatics toolkit (RDKit, OpenEye, Schrodinger, etc.) is required.
• Proficiency in Python programming required.
• Experience using version control (GitHub, GitLab, Bitbucket, etc.) required.
• Must be able to work effectively in both independent and team contexts.
• Arvinas will not be providing VISA sponsorship for this position now or in the future. You must have the ability to work without a need for current or future VISA sponsorship.
• The duties of this role are generally conducted in a combination of company office and home office environments. Employees must be able, with or without an accommodation to lift/carry 15/30 pounds unassisted/assisted; work comfortable in a controlled environment with and around biological, infectious and hazardous materials; gown/degown PPE; use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving, analysis and dialogue; collaborate with others; maintain general availability during standard business hours.

Nice To Haves

• Knowledge of and experience with at least one ML framework (TensorFlow, PyTorch or Keras) is desirable.
• Experience working on medicinal chemistry projects is desirable.
• Preference for doctoral graduate students nearing degree completion.

Responsibilities

• Explore state of the art tools for protein structure prediction and ternary complex modeling.
• Collect and prepare a comprehensive dataset of published ternary complex X-ray and cryo-EM structures.
• Rigorously evaluate the performance of different ternary complex modeling approaches.
• Prepare and present results at an internal Arvinas function at the conclusion of the internship.

Benefits

• Arvinas is proud to offer a competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families.
• Benefits include group medical, vision and dental coverage, group and supplemental life insurance, and much more.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed