Senior Technical Advisor - AI in Drug Discovery

Qualifications

• Expertise in protein folding models

• Thorough understanding of AI algorithms related to protein structure prediction

• Hands-on proficiency with computational methods for structural assessment

• Adept at critically evaluating and steering model development with a solid grasp of algorithmic principles

• Strategic insight on integrating new structural datasets into predictive models

• Opportunity to transition into the Chief Data & AI Officer role by mid-to-late 2026

• Enjoy a flexible work structure and significant autonomy in defining technical direction

Responsibilities

• Your insights will guide the development of groundbreaking, publishable results that are crucial for our upcoming Series A funding within six months

• This role starts with a few meetings per week and will evolve to 10-20 hours of involvement weekly

• It is particularly suited for individuals who can easily engage with teams in the Boston or Cambridge, MA area

• Strategic Technical Guidance: Lead weekly technical reviews with ML scientists; offer hands-on feedback on model development and research pathways

• Recommend innovative approaches when existing strategies yield subpar results

• Academic and Collaborative Leadership: Cultivate relationships with academic partners, especially within Boston/Cambridge

• Engage closely with professors, postdocs, and collaborators to foster a culture of innovation and establish credibility

• Strategic Positioning and Visibility: Represent the company at conferences, investor meetings, and strategic partnerships

• Assist in articulating and communicating the company’s AI/data strategy for both internal coherence and external visibility

• Talent and Capability Building: Provide guidance on recruiting, mentoring, and scaling high-quality teams in AI/ML, computational biology, and bioinformatics

• Collaborate with leading researchers and an innovative executive team

Full Description

We are on the lookout for a Senior Technical Advisor who will provide strategic and technical leadership in protein folding, structural prediction algorithms, and AI-driven drug discovery.

This is a unique opportunity to influence the data and AI foundations of an innovative biotech company, especially by integrating proprietary protein foot printing data into predictive models.

Your insights will guide the development of groundbreaking, publishable results that are crucial for our upcoming Series A funding within six months.

This role starts with a few meetings per week and will evolve to 10-20 hours of involvement weekly.

It is particularly suited for individuals who can easily engage with teams in the Boston or Cambridge, MA area.

Key Responsibilities

• Strategic Technical Guidance: Lead weekly technical reviews with ML scientists; offer hands-on feedback on model development and research pathways.

Recommend innovative approaches when existing strategies yield subpar results.

• Academic and Collaborative Leadership: Cultivate relationships with academic partners, especially within Boston/Cambridge. Engage closely with professors, postdocs, and collaborators to foster a culture of innovation and establish credibility.

• Strategic Positioning and Visibility: Represent the company at conferences, investor meetings, and strategic partnerships. Assist in articulating and communicating the company’s AI/data strategy for both internal coherence and external visibility.

• Talent and Capability Building: Provide guidance on recruiting, mentoring, and scaling high-quality teams in AI/ML, computational biology, and bioinformatics.

Core Technical Requirements

• Expertise in protein folding models.

• Thorough understanding of AI algorithms related to protein structure prediction.

• Hands-on proficiency with computational methods for structural assessment.

• Adept at critically evaluating and steering model development with a solid grasp of algorithmic principles.

• Strategic insight on integrating new structural datasets into predictive models.

Why Apply?

• Play a key role in shaping a pioneering data/AI strategy in the dynamic field of AI-driven drug discovery.

• Collaborate with leading researchers and an innovative executive team.

• Opportunity to transition into the Chief Data & AI Officer role by mid-to-late 2026.

• Enjoy a flexible work structure and significant autonomy in defining technical direction.

Interested?

If you are an experienced computational biologist, AI researcher, or technical leader excited about the future of protein design and drug discovery, we encourage you to apply today.