Summer Intern - Computational Chemistry &… at Arvinas · Remote

Summary: Arvinas is a clinical-stage biotechnology company dedicated to improving the lives of patients suffering from debilitating and life-threatening diseases. The internship project will explore approaches to ternary complex modeling and involve collaborating closely with members of the Arvinas CADD team. 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 Required Qualifications: - 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 - Computational Chemistry/Biology, Chemistry, Biology, or Computer Science major Preferred Qualifications: - Knowledge of and experience with at least one ML framework (TensorFlow, PyTorch or Keras) is desirable - Experience working on medicinal chemistry projects is desirable - Completion of classes in Computational Chemistry, Chemistry, and/or Molecular Biology & Biophysics strongly preferred - Preference for doctoral graduate students nearing degree completion Required Skills: Protein structure prediction, Cheminformatics toolkit, Python programming, Version control Important Skills: ML framework, Medicinal chemistry Nice-to-Have Skills: Independent work Benefits: Group medical, vision and dental coverage, Group and supplemental life insurance, And much more