Director of R&D, Artificial Intelligence

About the role

The successful candidate will partner with cross-functional teams of scientists, software engineers, and domain experts to shape and execute an AI-driven informatics vision that accelerates scientific discovery. This role operates as a hands-on leader working across a matrixed organization to guide and deliver impactful AI/ML initiatives.

Responsibilities

• Help to define and execute the AI strategy for R&D, aligned with organizational goals and innovation priorities
• Partner with R&D domain experts to identify high-value use cases and translate them into technical solutions
• Lead complex, cross-functional initiatives by influencing and coordinating teams across organizational boundaries
• Drive adoption of AI tools and methodologies across R&D teams
• Partner with stakeholders to identify high-impact opportunities and translate them into scalable computational strategies and solutions
• Contribute directly to model development, data analysis, and algorithm design where appropriate, maintaining a hands-on technical presence
• Champion the integration of generative AI, large language models (LLMs), and foundation models into scientific workflows
• Evaluate emerging technologies and external collaborations to accelerate innovation
• Stay current with emerging AI technologies and assess their applicability to the organization and non-technical stakeholders
• Communicate complex technical concepts and insights clearly to diverse audiences, including senior leadership
• Represent the organization through scientific publications, conference presentations, and external partnerships

Requirements

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or a related field preferred
• Advanced degree (PhD preferred) in Computer Science, Data Science, AI, Engineering, or a related field
• Experience: 5-10 years of experience in computational life sciences, including strong experience applying AI/ML to R&D processes in innovation driven environments
• Demonstrated expertise in managing complex informatics projects and teams in the life sciences research industry
• Proven ability to translate scientific problems into computational and AI-driven solutions at scale
• Experience with data architecture and cloud platforms
• Excellent communication skills with the ability to translate complex technical concepts to diverse stakeholders

Qualifications

• May require occasional travel (up to 20%)

Skills

• Strong understanding of AI/ML principles and techniques
• Experience with data science and machine learning tools and frameworks
• Ability to work effectively in a matrixed organization
• Strong problem-solving and critical thinking skills
• Excellent interpersonal and communication skills

Benefits

We Offer:

• Competitive compensation and comprehensive benefits package
• Career development opportunities within a global organization
• Collaborative and innovative work environment
• Opportunity to contribute to cutting-edge scientific advances that impact human health
• Flexible work arrangements

Pay

The salary range estimated for this position based in Massachusetts is $176,000.00–$264,500.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.

Schedule

Standard (Mon-Fri)