Senior Scientist - Computational Protein Design

Default (MSD); Gaithersburg (MD); On-site; USD 117,000 - 178,000; Full time

Job summary

MSD in Gaithersburg, MD is seeking a Senior Scientist, Computational Protein Engineering to design and develop an in-silico platform for antibody and protein engineering. You will lead a technical team, develop AI-driven pipelines, and collaborate across groups to advance projects.

The role requires a PhD with relevant experience, expertise in antibody modeling, and strong leadership, communication, and collaboration skills within a dynamic lab environment.

Qualifications

• PhD in related field with 2 years of relevant experience.
• Expertise with protein and antibody modeling, including antigen-antibody interactions.
• Publications in protein prediction or de novo design, including antibody/enzyme engineering.
• Experience with AI/ML methods is desirable.

Responsibilities

• Design and develop an in-silico platform for antibody and protein engineering.
• Develop computational pipelines for structure determination using AI methods.
• Lead technical teams to implement pipelines in protein design or prediction.
• Present findings to peers and managers, suggesting project advancement.

Skills

Protein modeling

Antibody design

AI/ML methods

Leadership

Collaborative teamwork

Data integration

Critical evaluation

Communication

Project management

Biochemistry fundamentals

Education

PhD in structural bioinformatics, molecular biology, bioengineering, biophysics, computational biology, or related field

Tools

Rosetta

AlphaFold

Job description

MSD in Gaithersburg, MD is seeking a Senior Scientist, Computational Protein Engineering to design and develop an in-silico platform for antibody and protein engineering. You will lead a technical team, develop AI-driven pipelines, and collaborate across groups to advance projects.

The role requires a PhD with relevant experience, expertise in antibody modeling, and strong leadership, communication, and collaboration skills within a dynamic lab environment.