Job Closed
This listing is no longer active.
Arvinas is a biotechnology research company that is “propelling the future with targeted protein degradation.” As an employer, the company believes its team members “make the
Summer Intern – Computational Chemistry, Artificial Intelligence
Location
Connecticut
Posted
89 days ago
Salary
0
Seniority
Entry Level
Job Description
Summer Intern – Computational Chemistry, Artificial Intelligence
Arvinas
• 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.
Job 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.
- Knowledge of and experience with at least one ML framework (TensorFlow, PyTorch or Keras) is desirable.
- Experience working on medicinal chemistry projects is desirable.
- 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.
Benefits
- group medical, vision and dental coverage
- group and supplemental life insurance
- supportive health, wellness and financial security programs
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Adjunct Faculty - M.Ed-Instruction & Learning
Abilene Christian UniversityAbilene Christian University - ACU is a university focused on instilling 21st-century Christian values into its curriculum. Located on a 262-acre campus in Abil
ACU is affiliated with the fellowship of Churches of Christ. This position requires the employee to be a professing Christian and to be willing to support the Christian mission of ACU. Reports to the Program Director. The position is part of the faculty team working together to support online students in their pursuits of master’s degrees. Basic Responsibilities: Provide high-quality instruction, direction and support for students in the online classroom environment. Essential Duties include the following. Other duties may be assigned. Reasonable accommodations may be made to enable individuals to perform the essential functions. A. Provide high-quality instruction, direction and support for students in the online classroom environment. 1. Provide rich and timely feedback on student work, being both encouraging and constructively critical. 2. Facilitate a range of class sizes, up to 29 students. 3. Place students in groups on Canvas for assignments/discussions. 4. Provide timely and helpful answers to students’ inquiries regarding course material or academic matters. 5. Be available for virtual meetings with students one-on-one or in group settings and hold a minimum of two office hours per week. 6. Facilitate and grade all assignments in a timely manner (within 24-72 hours). 7. Enter final course grades after consultation with lead faculty and/or program director by CLD deadline. 8. Alert lead faculty or Program Director to any student issues. This includes performance issues (e.g. failing grades, failing to turn in assignments, etc.) and policy violation issues (e.g. plagiarism). 9. Comply with all pertinent policies and procedures outlined in Abilene Christian University’s Handbook, Faculty Guidelines, and those specified by ACU’s College of Learning and Development. 10. Provide feedback to the program director for program and/or course improvement. 11. Participate in faculty meetings as able. 12. Attend/complete program and CLD faculty training and provide credentialing/records updates as required. 13. Other duties, as assigned and directed by lead faculty and/or Program Director. Professional Development Requirements: A. Skills 1. Attention to detail and follow through. 2. Time management skills. 3. Maintain confidentiality. 4. Computer proficiency. 5. Excellent verbal communication, written communication, and interpersonal abilities. 6. Provide quality instruction and support to students while maintaining academic and university standards. 7. Ability to collaborate or work independently as the situation requires. B. Training Modules Required 1. Microsoft Word, Excel, Access 2. Google Calendar, Mail, Sheets and Docs 3. Canvas and Bridge (online learning platforms) Qualifications: Professional A PhD or Ed. D. degree from an accredited institution in appropriate field to align with program, Additional experience in the field. Previous online teaching experience in higher education strongly preferred. Computer literate in software and internet-based applications. Personal 1. Strong communication skills, both written and oral. 2. Ability to view and manage role and responsibilities in relation to larger mission, goals and perspective of the university. 3. Collaborative nature, with the ability to build consensus. 4. Outstanding organizational and project management skills with the ability to consistently meet deadlines. 5. Self-motivated and solves problems, asking for input and initiating solutions as appropriate and reasonable. 6. Capacity to quickly learn new software applications. 7. Willingness to receive additional training and/or faculty mentoring. 8. Ability to demonstrate good judgment when interacting with students, other faculty and staff. Physical Demands: - Majority of work is performed in front of a computer and on the telephone; must have the ability to use the computer and remain stationary for long periods of time. - Manage conversations in person, online and by telephone. - Work well under pressure and manage stress well. - Communicate clearly: speak, read, write, and hear clearly to perform essential functions. ACU does not unlawfully discriminate on the basis of race, color, age, sex, disability, genetic information, national or ethnic origin in employment opportunities, in keeping with applicable state and federal law. ACU is committed to maintaining a safe and secure campus environment and protecting the university's financial and physical assets. Therefore, Abilene Christian University conducts background checks on all candidates for employment in security sensitive positions. As a current employee, it will be determined if you need an additional background check upon your hire.
Summer Intern - Computational Chemistry & Artificial Intelligence
ArvinasArvinas is a biotechnology research company that is “propelling the future with targeted protein degradation.” As an employer, the company believes its team members “make the
Arvinas is a clinical-stage biotechnology company dedicated to improving the lives of patients suffering from debilitating and life-threatening diseases through the discovery, development, and commercialization of therapies that degrade disease-causing proteins. Arvinas uses its proprietary PROTAC Discovery Engine platform to engineer proteolysis targeting chimeras, or PROTAC targeted protein degraders, that are designed to harness the body’s own natural protein disposal system to selectively and efficiently degrade and remove disease-causing proteins. In addition to its robust preclinical pipeline of PROTAC protein degraders against validated and “undruggable” targets, the company has three investigational clinical-stage programs currently enrolling: ARV-102 for the treatment of patients with neurodegenerative disorders,ARV-393 for the treatment of patients with relapsed/refractory non-Hodgkin Lymphoma and potentially other lymphomas, and ARV-806, a KRAS G12D PROTAC for the treatment patients with solid tumors with KRAS G12D mutations. On August 8th 2025, the U.S. Food and Drug Administration (FDA) accepted the New Drug Application (NDA) for vepdegestrant- an investigational, orally bioavailable PROTAC estrogen receptor degrader- for its use as a monotherapy in the treatment of adults with estrogen receptor–positive (ER+), human epidermal growth factor receptor 2–negative (HER2-), ESR1-mutated advanced or metastatic breast cancer previously treated with endocrine-based therapy. In September 2025, Arvinas and Pfizer announced their plan to jointly select a third party for the out-licensing and commercialization of vepdegestrant. In April 2024, Arvinas entered into a transaction with Novartis, including a global license agreement for the development and commercialization of the clinical stage PROTAC androgen receptor protein degrader ARV-766 for the treatment of prostate cancer. The transaction closed in May 2024. #TeamArvinas is made up of passionate and curious employees, whose diverse thoughts and perspectives are highly valued. Arvinas employees embrace the freedom to pursue innovation, think creatively, and give back. They are driven by the company’s values and mission – to improve the lives of patients with serious diseases by pioneering therapies created with our revolutionary PROTAC protein degradation platform. We’re really excited about the work we’re doing inside and outside of Arvinas, and think you will be, too. But don’t just take our word for it – learn more about life at Arvinas and what employees have to say. For more information, please visit www.arvinas.com. Position Summary 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. Principal Responsibilities Key responsibilities of this role include, but are not limited to: - 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. 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. - Knowledge of and experience with at least one ML framework (TensorFlow, PyTorch or Keras) is desirable. - Experience working on medicinal chemistry projects is desirable. - 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. EDUCATION - Computational Chemistry/Biology, Chemistry, Biology, or Computer Science major. - Completion of classes in Computational Chemistry, Chemistry, and/or Molecular Biology & Biophysics strongly preferred. - Preference for doctoral graduate students nearing degree completion. #LI-Remote 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. To learn more about Arvinas, please visit www.arvinas.com Arvinas is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability or protected veteran status.
• Design natural, user-friendly dialogue flows for chatbots, voice assistants, and AI-powered interfaces • Work directly with clients & product owners to translate goals and customer intents into implementation-ready conversation architectures • Create and maintain conversation design artifacts • Define testing coverage for designs and support QA with structured test scenarios • Use analytics and qualitative feedback to iterate and improve flows and prompts • Align conversation behaviors with client brand voice and customer experience standards across channels • Define voice-optimized and chat-optimized behaviors • Develop and enforce conversation style guidelines • Support implementation in platforms such as Cognigy, Amazon Lex, Kore.ai • Define and enforce standards for reliability, observability, on-call readiness, and continuous improvement • Participate in incident response and root-cause reviews • Work with security/compliance stakeholders for data handling, retention, and access control
• Collaborating with cross-functional teams to understand application requirements and user needs. • Designing, developing, and testing effective prompts that improve AI model responses in various applications. • Analyzing and optimizing existing prompts based on user feedback and performance metrics. • Staying updated on the latest advancements in AI and NLP, contributing to the company’s innovation initiatives. • Documenting prompt engineering processes and results for knowledge sharing and team reference.



