Associate Director, AI Enablement & Machine Learning

 

THE ROLE

Vesalius Therapeutics is seeking an Associate Director, AI Enablement & Machine Learning to help drive the adoption and application of AI, machine learning, and scientific computing across the discovery organization. This individual will partner closely with Biology, Data Science, and Research teams to identify opportunities where AI can accelerate scientific discovery, improve decision-making, and enhance research productivity. This is a highly collaborative, hands-on role that combines technical expertise with scientific curiosity and the ability to translate complex research challenges into practical computational solutions.

KEY RESPONSIBILITIES

• Develop and deploy AI/ML solutions that support target discovery, translational research, biomarker identification, and scientific decision-making.
• Partner with scientists and cross-functional teams to identify high-impact opportunities for AI and advanced analytics.
• Apply modern machine learning techniques, including predictive modeling, deep learning, generative AI, and large language models.
• Build and maintain analytical workflows for complex biological and multimodal datasets.
• Collaborate with Data Science and Engineering teams to deploy scalable tools and computational workflows.
• Promote best practices in reproducibility, model validation, data governance, and AI adoption.
• Mentor colleagues and help increase AI literacy and computational capabilities across the organization.
• Stay current on emerging technologies and recommend practical applications that create scientific value.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS

• Ph.D. or Master's degree in Machine Learning, Computational Biology, Bioinformatics, Data Science, Computer Science, or a related field.
• Approximately 5–8 years of relevant experience(may include post-doc) applying AI, machine learning, or computational methods in biotechnology, pharmaceuticals, healthcare, or life sciences.
• Strong programming skills in Python and experience with modern machine learning frameworks.
• Experience working with biological, biomedical, or other complex scientific datasets.
• Knowledge of cloud computing environments and scalable computational workflows.
• Excellent communication skills and ability to collaborate across scientific and technical disciplines.

Preferred

• Experience supporting drug discovery, genomics, proteomics, biomarker development, generative AI, large language models, knowledge management systems, or AI-enabled research platforms.

Success Profile

• The ideal candidate is collaborative, intellectually curious, technically strong, and motivated by applying AI to solve meaningful scientific problems. They are equally comfortable engaging with scientists, data scientists, and software engineers and enjoy turning innovative ideas into practical solutions.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.