AI, Machine Learning & Data Science Talent for Life Sciences & Healthcare
This talent doesn’t live in one department. It shows up in Research, Clinical, Commercial, and Corporate all at once. Marcus & Associates has spent 40 years exclusively inside life sciences and healthcare, and we’ve built a real, differentiated track record placing the AI, Data Science, and Bioinformatics leaders who now sit at the center of every practice we serve.
Why This Matters Now
Market contextMarket growth figure sourced from Coherent Solutions, 2025.
Wherever AI Lives in Your Organization, We Recruit for It
AI talent needs show up in four distinct ways inside life sciences and healthcare organizations. Most recruiters cover one. We fill all four with the same team and the same process.
Enterprise AI & Centers of Excellence
The executives who set AI strategy, governance, and data platforms across the whole organization, and the teams that scale them company-wide.
R&D and Discovery
AI inside the science: computational biology, bioinformatics, and machine learning applied to discovery, translational research, and development.
AI in the Products & Services Themselves
Where the algorithm is the product: diagnostics, clinical genomics, health tech platforms, and analytics companies whose offerings run on production ML.
Smarter Processes Across Every Function
AI and analytics improving how work gets done: clinical development, pharmacovigilance, manufacturing, supply chain, quality, and commercial operations.
From Big Pharma to Health Tech, Every Sector Where This Talent Is Scarce
Health Tech sits at the intersection of the two industries we’ve served exclusively since 1986, and right now it’s the highest-growth, highest-demand arena for AI, ML, and Data Science talent. But that demand doesn’t stop at the intersection. It runs across every sector on both sides of it.
Health Tech sits at the convergence of Life Sciences and Healthcare, the same two industries Marcus & Associates has served exclusively since 1986.
Life Sciences Sectors
- Pharma
- Biotech
- Diagnostics
- Medical Devices
- Medical Equipment
Healthcare Sectors
- Hospitals & Health Systems
- Medical Practices
- Academic Research Centers
…and the sectors that serve them: clinical labs, healthcare analytics, and more.
The Combination Generalist AI Recruiters Don’t Have
Tech-focused recruiters know AI talent. Generalist life-sciences recruiters know the industry. Very few firms credibly have both, and a real, multi-year track record of placing this talent inside life sciences organizations.
40 Years of Exclusive Life Sciences Depth
We’ve recruited exclusively for Life Sciences and Healthcare since 1986. We understand regulatory constraints, clinical data sensitivities, and the scientific fluency this talent actually needs, not just the AI/ML buzzwords.
Real, Multi-Year AI & Data Build-Outs
We’ve built full Data Science and Bioinformatics organizations from the ground up, not filled a handful of one-off roles. See the case study below.
Proven, Quantified Results
The same rigor we bring to every search at Marcus & Associates applies here: a streamlined, methodical process refined since 1986, with real numbers behind it.
Scaling a Data Science & Bioinformatics Organization
We partnered with Natera to build out their Data Science and Bioinformatics leadership teams, placing multiple senior leaders driving innovation across clinical genomics and diagnostics: a multi-hire, phased build spanning Director through Vice President level.
The result: strengthened capabilities across Clinical Bioinformatics, Algorithm Development, Machine Learning/AI Applications, NGS Data Analysis, Real-World Evidence Analytics, Computational Biology, and Data Strategy.
“Marcus & Associates are very detailed in their assessment of the fit between a candidate and the company. They go to great lengths to understand the individuals involved in the decision process.” Bernie Tobin, Formerly President, Crescendo Biosciences · Currently General Manager, Natera
Roles Placed
- Vice President, Bioinformatics
- Senior Director, Research Informatics
- Senior Director, Data Science Production Engineering
- Director, Data Science
- Director, Computational Biology
- Associate Director, Bioinformatics
- Principal Computational Scientist, Bioinformatics
This Expertise Runs Across All Six of Our Practice Areas
AI, Data Science, and ML roles aren’t confined to one department. We fill positions in this space across every practice we serve, from Research & Pre-Clinical, to Product Development & Manufacturing (including Supply Chain), to Commercial, and beyond. Here’s where these roles show up within each practice.
Bioinformatics & Computational Biology
Across Chemistry, Biology, Pharmacology & Toxicology.
Clinical & Real-World Evidence Analytics
Across Clinical Development, Clinical Operations, Medical Affairs & Pharmacovigilance.
Manufacturing & Supply Chain Analytics
Across Formulations, Process Sciences, Manufacturing/Production & Supply Chain.
AI Governance & Quality Analytics
Across Regulatory Affairs, Quality Assurance, Compliance & EHS.
Commercial & Advanced Analytics
Across Brand/Marketing, Access & Reimbursement, Analytics & Insights, Commercial Operations.
Enterprise Data & AI Leadership
Across HR & Talent Acquisition, Information Technology, Legal & Finance.
Functional Areas & Select Placements
Select Functional Areas We Serve
Life Sciences Data Science & Analytics
- Bioinformatics & Computational Biology: translational and multi-omics analytics
- Biostatistics (Clinical & Non-Clinical): trial design, modeling, real-world data
Healthcare Data Science & Analytics
- Healthcare Analytics: population health, outcomes, cost optimization
- Value-Based Care Analytics: quality, reimbursement, performance metrics
Cross-Industry Data Science & Analytics
- Machine Learning / AI Applications: predictive modeling, algorithm development
- Commercial Analytics: forecasting, market access, revenue optimization
- Real-World Evidence & Outcomes Analytics: bridging clinical, payer & commercial data
- Data Science Leadership: CDOs, Heads of AI, enterprise analytics executives
Variety of Data Science, AI & Bioinformatics Placements
C-Suite / Executive Leadership
- Chief AI Officer, Small Biotech (AI-Driven Discovery)
- Chief Digital Officer, Specialty Biopharma
- Chief AI Officer, Mid-Size Biopharma
- Chief Data Officer, Health Tech (Data Platforms)
- Chief Analytics Officer, Integrated Health System (Population Health)
SVP Level
- SVP, Chief Data Officer, Mid-Size Biopharma (CNS)
- SVP, AI & Data, Global Pharma
- SVP, Analytics & Insights, Healthcare Payer
- SVP, Healthcare Analytics, Provider Network
Vice President Level
- VP, Enterprise Data & AI, Global Pharma
- VP, Data Science & ML, Early-Stage Biotech
- VP, Digital Transformation, R&D / Knowledge Management
- VP, Bioinformatics, Diagnostics & Genomics
- VP, Population Health Analytics, Health System
- VP, Data Science, Analytics SaaS Company
Senior Director & Director Level
- Senior Director, AI & Automation, Mid-Size Biopharma
- Senior Director, Healthcare Analytics, Integrated Health System
- Senior Director, Commercial Data Science, Global Pharma
- Senior Director, Data Governance, Health Tech Platform
- Director, AI Strategy, Global Pharma
- Director, ML Innovation, Early-Stage Biotech
- Director, Clinical Analytics, Academic Medical Center
- Director, Data Strategy, Payer Analytics Platform
- Director, Real-World Evidence Analytics, Biopharma
- Director, Business Intelligence & Reporting, Health System
Principal, Senior & Staff Level
- Principal Data Scientist, Health Tech (Predictive Modeling)
- Senior Data Scientist, Biopharma (Translational Analytics)
- Lead Bioinformatics Engineer, Diagnostics Company
- Staff Machine Learning Engineer, Healthcare AI Startup
- Principal Statistician, Clinical Development Analytics
