Senior Scientist GenAI/ML Protein Design

Job Description

Our Company's Discovery Biologics Disruptive Technologies group is seeking an exceptional generative AI protein engineer to drive the advancement and application of structure-based de novo design and optimization methods to support our biotherapeutic portfolio. In addition to planning and executing experiments to improve and evaluate technical capabilities, the individual is expected to partner closely with cross-functional discovery programs to turn great ideas into valuable medicines that help patients. The role is based out of our Cambridge, MA facility.

We are on a quest for cures and are committed to be the world’s premier, most research-intensive biopharmaceutical company. Our teams combine leading drug discovery capabilities and world-class R&D with the purpose of turning breakthrough science into life-changing medicines.

We recognize that the diversity in our team is our strength and are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of scientists to drive our core mission.

In this role, a successful candidate will partner with computational and wet lab researchers to design experiments, identify and develop technologies, and create impactful medicines.

Key Responsibilities

• Apply generative AI and machine learning-based protein design and engineering technologies to invent novel biologic therapeutics; including de novo design and structure-based optimization.

• Foster a high-performance culture of collaboration, engagement, self-accountability and inclusion.

• Effectively partner across multidisciplinary interfaces to achieve organizational objectives.

• Actively develop talent, strategically maximizing diversity to strengthen the team.

• Support external partnerships and collaboration opportunities.

• Stay abreast of external advancements in the relevant scientific fields. 

• Promote the external reputation of our group.

Qualifications & Experience

• PhD in Biochemistry, Computational Biology, Protein Engineering, Physics, or related field and minimum of 0-3 years of industry experience, or an MS and a minimum of 4 years industry experience, or B.S. and a minimum of 7 years industry experience.

• Demonstrated success in applying GenAI/ML-based protein design methods.

• Proven industry track record of success working with cross-functional teams.

• Commitment to scientific excellence and rigor.

• Excellent communication and collaboration skills.

• Champion for diverse and inclusive culture.

• Strong external reputation with high-impact publications, presentations, and scientific community engagement.

• Passion for sharing knowledge and helping colleagues develop.

Required skills:

• Experience applying generative AI methods for protein design and engineering, including de novo design and lead optimization.

• Deep understanding of protein structure and molecular biophysics.

• Mastery of protein structural modeling and design tools (e.g. AlphaFold, Rosetta, RFDiffusion, ProteinMPNN, or similar)

• Strong skills in data analysis and visualization and making data-driven decisions.

• Comprehensive scientific knowledge across workflows and domains integral to the discovery of protein therapeutics

Preferred skills

• Experience evaluating and combining generative AI models and applying machine-learning-based methods to solve complex problems in biologics discovery and development.

• Project leadership experience in discovery of protein therapeutics or technology development.

• Experience in managing external collaborations.

• Hands-on experience with NGS data.

• Experience deploying scalable computational workflows.

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