Dana-Farber Cancer Institute (DFCI) and Deerfield Management have entered a multi-year collaboration to create the Center for Protein Degradation (CPD) at DFCI. The goals of the Center for Protein Degradation are to create a next-generation protein degrader platform and interrogate and advance a large portfolio of protein degrader targets. This is an exceptional opportunity to join a newly founded research center that is pushing the boundaries of targeted protein degradation research and accelerating the translation of basic science into clinical solutions.

The Center for Protein Degradation (CPD) is seeking a highly motivated computational chemist to join the computational science team. The individual will be an important member of the CPD who will make important contributions in various research projects across our portfolio.

Located in Boston and the surrounding communities Dana-Farber Cancer Institute brings together world-renowned clinicians innovative researchers and dedicated professionals allies in the common mission of conquering cancer HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners including other Harvard Medical School-affiliated hospitals.

Position Summary:

The candidate will develop and apply cutting-edge computational techniques to guide the design and optimization of small molecule protein degraders. The candidate will closely work with chemists biologists and proteomics experts to advance the medicinal chemistry of protein degraders by providing mechanistic insights at atomic level.

• Work closely with medicinal chemists to guide the optimization of lead compounds

• Independently plan manage and perform research and projects. Develop project proposals timelines and resource needs. Monitor milestones and ensure deliverables are completed on time.

• Take an independent and active role in development of novel computational methods for design of protein degraders
• Support the molecular modeling needs of multiple small molecule drug discovery projects.

• Collect and analyze data generate hypothesis and identify next steps based on outcomes
• Communicate project deliverables to the leaders across the groups
• Interact and liaise with internal and external experts academic groups and CROs to establish and direct collaborations and projects
• Maintain clear and accurate records of research work (e.g. research methods results/findings)

• PhD in computational chemistry computational biophysics or related fields.
• Strong working experience in structural and ligand based small molecule drug design.
• Good programming/scripting skills are essential for this position.
• Excellent communication and presentation skills.
• Demonstrated ability to work in a fast-paced and dynamic environment.
• Ability to work independently as well as in a collaborative and team environment.
• Excellent organizational and prioritization skills.
• Experience in molecular dynamics simulation protein protein docking and cheminformatics is desired.

At Dana-Farber Cancer Institute we work every day to create an innovative caring and inclusive environment where every patient family and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals neither do we. If working in this kind of organization inspires you we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race color religion sex gender identity or expression national origin sexual orientation genetic information disability age ancestry military service protected veteran status or other groups as protected by law.