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Today’s List at a Glance
A hand-picked list of top-tier roles for ambitious professionals. Here’s the breakdown:
- 💰 Salary Range: $121K – $327K *
- 🏢 Top Companies Hiring: Biospace, Nature Careers, Sanofi
- 📍 Geographic Spread: Concentrated in biotech hubs like Boston and Cambridge, MA, with a significant remote opportunity and roles in New York, NY, Indianapolis, IN, Orange, CA, and Toronto, ON.
- 🪜 Seniority Level: Primarily focused on senior and leadership roles, including Head, Director, Associate Director, and Sr. Director positions.
Leading the Charge: AI & Data Science Opportunities in Biotech & Health Tech
Head of AI/ML Research at Biospace
📍 Location: Boston, MA
💰 Salary: $208K – $327K *
Why it’s a great opportunity: This leadership role combines AI/ML research with drug discovery, specifically in large molecule design within biotech, offering significant compensation.
Head of Computational Biology (Director) at Nature Careers
📍 Location: Cambridge, MA
💰 Salary: $200K – $275K *
Why it’s a great opportunity: A directorship focused on computational biology, essential for leveraging data in biotech R&D, with a strong salary range.
Head, Data & AI Enablement at Biospace
📍 Location: Boston, MA
💰 Salary: $208K – $327K *
Why it’s a great opportunity: This position drives the integration of AI/ML within R&D for Takeda Pharmaceuticals, a key role in biotech innovation, and offers top-tier compensation.
Associate Director – AI/ML (R&D) at Biospace
📍 Location: Boston, MA
💰 Salary: $153K – $241K *
Why it’s a great opportunity: Focuses on implementing AI-driven drug discovery for Takeda, a critical technical leadership role in the biotech sector with excellent compensation.
Our AI Resume Optimizer can help you tailor your resume’s content, section by section, for each of these specific roles.
Sr. Director – Safety Data Scientist at Biospace
📍 Location: Indianapolis, IN
💰 Salary: $151K – $222K *
Why it’s a great opportunity: A senior leadership role at Lilly providing strategic direction in technology and analytics for Global Patient Safety, combining data science with biotech.
Associate Director / Senior Machine Learning Scientist at Nurix Therapeutics
📍 Location: US-Anywhere Remote
💰 Salary: $150K – $200K *
Why it’s a great opportunity: This remote role focuses on developing a cutting-edge ML platform for targeted protein degradation research in biotech, offering flexibility and strong pay.
Data Science Manager, Datapro & Clinical Products at Garner Health
📍 Location: New York, NY
💰 Salary: $240K – $260K *
Why it’s a great opportunity: Driving strategy and execution for healthcare products using data science to improve outcomes, this is a highly relevant role in biotech-adjacent health tech.
Data Scientist – Generative AI & Medicare Risk Adjustment Analytics at Alignment Healthcare
📍 Location: Orange, CA
💰 Salary: $149K – $224K *
Why it’s a great opportunity: This position specifically applies Generative AI to healthcare analytics, a direct application of the theme with a significant compensation package.
Data Science, AI, and Machine Learning Lead at Sanofi
📍 Location: Toronto, ON
💰 Salary: $121K – $174K *
Why it’s a great opportunity: A lead role at a major pharmaceutical company focused on digital care programs and technical design, aligning perfectly with the biotech and AI theme.
Strategic Playbook for Landing These Roles
Profile of an Ideal Candidate
- Core Responsibility: These roles primarily focus on leveraging advanced AI, ML, and computational biology techniques to drive innovation, research, product development, and strategic decision-making within the biotech and health tech sectors.
- Essential Experience: A strong background in AI/ML, data science, computational biology, or related quantitative fields, often coupled with experience in drug discovery, R&D, or healthcare analytics, is consistently requested.
- Key Competencies: Beyond technical prowess, these roles demand exceptional leadership, strategic thinking, cross-functional collaboration, and the ability to translate complex data insights into actionable business strategies within a highly regulated environment.
The Resume Blueprint: Keywords & Metrics
Keywords to Target:
Metrics that Matter:
✅ Implemented predictive analytics models for clinical safety data, directly contributing to a 15% reduction in adverse event reporting timelines and enhanced patient monitoring.
✅ Designed and deployed an ML-driven system for targeted protein degradation research, resulting in a 20% increase in validated therapeutic targets within a year.
Nailing the Narrative: Your Interview Strategy
Be prepared to answer tough, strategic questions. Here are some specific examples:
“Describe a complex AI research problem you’ve faced that required unconventional thinking. How did you approach it, and what was the ultimate impact of your solution?”
“How do you balance the drive for innovation with the regulatory and ethical considerations inherent in biotech and healthcare data applications?”
“Outline your vision for integrating generative AI into drug discovery or patient safety within the next 3-5 years, and what steps would you take to get there?”
Put Your Playbook into Action
Ready to take the next step? Sign up for a free Resume Captain account to access our full suite of AI-powered career tools.
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