Executive Director, Computational Biology

About the role

We're looking for an Executive Director, Computational Biology on the Biologics Research team to help us expand what's possible for patients with serious diseases. Our group develops cutting-edge AI-driven protein design and optimization methods, works in close collaboration with experimental teams to apply them in the discovery of next-generation biotherapeutics, and analyzes the resulting data to feed back into models and to guide subsequent rounds of design and engineering. We are actively engineering therapeutic proteins with a variety of functions, from binders to enzymes to viral vectors, with similarly wide-ranging computational design tasks and experimental screening capabilities.

Responsibilities

• Guide research strategy for AI-based protein design and data science through the lens of biotherapeutic research.
• Lead, mentor, and grow two outstanding teams of computational biologists (protein design and data science).
• Collaborate with experimental teams responsible for drug discovery projects and enabling research platforms.
• Coordinate continued integration of computation and experiment as we scale our use of laboratory automation and adopt fit-for-purpose agentic AI-enabled workflows.
• Partner with adjacent computational research groups, the Information Technology Department, and other key stakeholders to develop and implement overall corporate strategy for advanced computing technologies.

Requirements

You have a PhD in Computer Science, Statistics, Mathematics, or a related discipline along with 10 years of experience in computational biology.

You are or you also have:

• Deep expertise in computational protein design.
• Proven ability to lead and inspire a team of computational biologists while fostering productive collaborations with experimental scientists.
• Strong track record of scientific creativity and innovation, pushing the envelope in relevant areas.
• Thorough understanding of, and hands-on experience with, state-of-the-art deep learning models and methods for protein design and predictive analysis.
• Demonstrated skills and experience in the analysis, interpretation, and visualization of diverse data relevant to protein design and engineering; facility with next-generation sequencing data helpful.
• Ability to partner with Information Technology to buildout and maintain computational and data infrastructure for research and development.
• Talent for balancing long-term strategic vision with hands-on execution of technical research.

Qualifications

You have a PhD in Computer Science, Statistics, Mathematics, or a related discipline along with 10 years of experience in computational biology.

You are or you also have:

• Deep expertise in computational protein design.
• Proven ability to lead and inspire a team of computational biologists while fostering productive collaborations with experimental scientists.
• Strong track record of scientific creativity and innovation, pushing the envelope in relevant areas.
• Thorough understanding of, and hands-on experience with, state-of-the-art deep learning models and methods for protein design and predictive analysis.
• Demonstrated skills and experience in the analysis, interpretation, and visualization of diverse data relevant to protein design and engineering; facility with next-generation sequencing data helpful.
• Ability to partner with Information Technology to buildout and maintain computational and data infrastructure for research and development.
• Talent for balancing long-term strategic vision with hands-on execution of technical research.

Skills

You have a PhD in Computer Science, Statistics, Mathematics, or a related discipline along with 10 years of experience in computational biology.

You are or you also have:

• Deep expertise in computational protein design.
• Proven ability to lead and inspire a team of computational biologists while fostering productive collaborations with experimental scientists.
• Strong track record of scientific creativity and innovation, pushing the envelope in relevant areas.
• Thorough understanding of, and hands-on experience with, state-of-the-art deep learning models and methods for protein design and predictive analysis.
• Demonstrated skills and experience in the analysis, interpretation, and visualization of diverse data relevant to protein design and engineering; facility with next-generation sequencing data helpful.
• Ability to partner with Information Technology to buildout and maintain computational and data infrastructure for research and development.
• Talent for balancing long-term strategic vision with hands-on execution of technical research.

Benefits

Comprehensive medical, dental, and vision coverage and mental health support, annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP).

Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration.

401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP), and company-paid life and disability insurance.

Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities.

Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back.

Pay

$255,000.00-347,500.00 Annual

Schedule

Full time