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# VP of Data Science & AI – Pharmaceutical Company – Boston, MA


 
VP of Data Science & AI – Pharmaceutical Company
Are you an innovative data leader with a passion for transforming healthcare through advanced analytics and artificial intelligence? We are seeking a Vice President of Data Science & AI to guide a leading pharmaceutical company in Boston, MA. This is a unique opportunity to shape data strategy, accelerate drug development, and drive AI-powered decisions across the organization. If you thrive in a science-driven environment and excel at building high-impact analytical teams, this role is designed for you.
Lead AI & Data Innovation in a Top Pharmaceutical Organization
A renowned pharmaceutical company in Boston, MA is looking for a Vice President of Data Science & AI to lead its enterprise-wide data initiatives. The ideal candidate will bring deep expertise in machine learning, data engineering, AI strategy, and real-world evidence analytics. With a strong understanding of the drug development lifecycle and commercial operations, this leader will unlock insights that improve patient outcomes and fuel scientific innovation. If you are motivated by the opportunity to leverage AI to transform global healthcare, this is your chance to make a major impact.
Key Responsibilities of the VP of Data Science & AI – Pharmaceutical Industry
AI & Data Strategy Leadership
Develop and execute a forward-thinking data and AI strategy that accelerates drug discovery, enhances clinical development, and drives innovation across the pharmaceutical value chain. Align AI initiatives with scientific, commercial, and operational priorities to deliver measurable impact.
Advanced Analytics & Model Development
Oversee the creation and deployment of predictive models, machine learning algorithms, and real-world evidence (RWE) solutions. Ensure high-quality data pipelines and reproducible analytics that support research, clinical trials, patient outcomes, and business decision-making.
Data Infrastructure & Architecture
Lead the design and optimization of scalable data ecosystems, including cloud platforms, data lakes, and ETL pipelines. Work closely with engineering teams to ensure robust data governance, security, compliance, and interoperability across the organization.
Cross-Functional Collaboration
Partner with R&D, Clinical, Regulatory, Commercial, and IT teams to solve high-impact scientific and business problems using AI. Translate complex data insights into actionable strategies that support drug development, market access, and patient engagement.
Innovation & Emerging Technologies
Identify and implement emerging AI technologies such as generative AI, multimodal modeling, NLP, and automation to accelerate research productivity and improve operational efficiency. Drive a culture of experimentation and scientific excellence.
Team Leadership & Capability Building
Build, mentor, and lead high-performing teams of data scientists, ML engineers, analysts, and AI researchers. Foster a collaborative environment that prioritizes learning, innovation, and accountability.
Regulatory & Compliance Oversight
Ensure all AI and data initiatives follow industry regulations, including FDA, HIPAA, and GDPR requirements. Implement ethical AI frameworks and risk mitigation strategies to ensure transparency, safety, and compliance.
Stakeholder Communication & Alignment
Engage with senior leadership, scientific experts, and external partners to communicate insights, roadmap updates, and AI-driven opportunities. Present data-driven recommendations that influence strategic decisions across the organization.
Operational Excellence & Performance Optimization
Drive efficiencies across the drug development lifecycle using data automation, intelligent analytics, and advanced modeling. Improve cost-effectiveness, cycle times, and predictive accuracy through continuous optimization of AI systems.
External Partnerships & Collaboration
Collaborate with biotech firms, technology vendors, academic institutions, and research networks to stay ahead of scientific advancements. Leverage external innovation to strengthen the company’s competitive edge in AI-driven healthcare.
What the Client is Looking for in You
As the VP of Data Science & AI – Pharmaceutical Industry, the client is seeking a visionary technology leader capable of redefining how data, AI, and analytics power the organization’s R&D and commercial success. You should be a strategic, results-oriented executive with the ability to lead complex scientific initiatives while driving business impact.
Deep Expertise in Pharma, AI & Machine Learning
The client is looking for an executive with significant experience in the pharmaceutical, biotech, or life sciences space. You should have a proven track record of applying AI and advanced analytics to accelerate drug discovery, enhance clinical trials, improve real-world outcomes, or support commercialization. Experience managing large data environments and regulated datasets is highly valued.
Strategic Thinker with AI Vision
You must demonstrate the ability to create and execute long-term AI strategies that align with scientific and corporate objectives. The ideal candidate will have experience identifying opportunities where AI can deliver breakthrough value across research, development, manufacturing, and patient engagement. The client values leaders who anticipate industry trends and evolve AI capabilities accordingly.
Exceptional Technical & Scientific Acumen
A strong understanding of machine learning, statistics, data engineering, cloud architecture, and real-world evidence analytics is essential. The client seeks someone who can evaluate complex scientific challenges and design solutions powered by data, AI, and computational science.
Leadership & Team-Building Excellence
You should have a demonstrated ability to attract, develop, and inspire top-tier data and AI talent. The ideal candidate fosters a culture of innovation, scientific rigor, transparency, and cross-functional collaboration. Experience managing large, multidisciplinary teams in a matrixed environment is highly desirable.
Strong Communication & Stakeholder Influence
The client values a leader who can translate advanced analytics into clear business value. You must be able to influence executive leadership, work seamlessly with scientists and researchers, and communicate technical insights to non-technical stakeholders with clarity and confidence.
Regulatory & Compliance Awareness
A deep understanding of regulated environments is critical. The ideal candidate must be familiar with industry regulations governing patient data, clinical trial data, and AI application in healthcare. Experience implementing ethical AI and responsible data frameworks is a strong advantage.
Commitment to Scientific Innovation & Patient Impact
Finally, the client seeks a mission-driven leader passionate about advancing human health through technology. You should be committed to using AI to enhance patient outcomes, accelerate medical breakthroughs, and support the development of life-changing therapies.
FAQs About the Role – VP of Data Science & AI – Pharmaceutical Company
1. What are the key responsibilities of the VP of Data Science & AI in this role?
You will be responsible for leading the company’s AI and data strategy, developing advanced analytics models, building a robust data infrastructure, and supporting drug discovery and clinical development through data-driven insights. The role includes team leadership, regulatory compliance oversight, cross-functional collaboration, and driving innovation across scientific and commercial functions.
2. What qualifications and experience are required for this position?
The ideal candidate should have extensive experience in data science, AI, or machine learning within the pharmaceutical, biotech, or healthcare sector. A strong background in statistical modeling, computational biology, real-world evidence analytics, and cloud data platforms is essential. Advanced degrees (Master’s or PhD) in data science, computer science, bioinformatics, or related fields are preferred. Experience leading large data organizations is highly valued.
3. What leadership qualities are essential for this role?
The client seeks a visionary leader with strong strategic thinking, excellent decision-making skills, and the ability to communicate complex data concepts clearly. The candidate should excel at building high-performing teams, driving scientific innovation, managing stakeholders, and aligning cross-functional priorities.
4. What challenges can I expect in this role?
You may face challenges related to integrating AI into traditional scientific workflows, ensuring data quality across diverse sources, navigating regulatory requirements, and balancing long-term innovation with short-term business needs. Additional challenges include supporting multiple therapeutic areas, managing large datasets, and advancing AI initiatives in a rapidly evolving industry.
5. How will this role impact the company’s scientific and business growth?
The VP of Data Science & AI will play a critical role in accelerating R&D productivity, improving clinical trial efficiency, strengthening commercial analytics, and enabling data-driven decision-making. Your leadership will directly influence the company’s ability to innovate, compete globally, and deliver life-changing therapies to patients faster.
6. What is the company’s culture and work environment like?
The company fosters a collaborative, research-driven, and innovation-focused culture. They value scientific excellence, transparency, and continuous improvement. As an AI leader, you will help shape a data-first culture that supports curiosity, experimentation, and cross-functional teamwork.
What Remuneration Can You Expect from This Job?
As the VP of Data Science & AI – Pharmaceutical Company – Boston, MA, you can expect a highly competitive and comprehensive executive compensation package designed to attract world-class data and AI leadership talent. The remuneration for this role typically includes:
1. Base Salary
The base salary for a VP of Data Science & AI in the pharmaceutical sector varies depending on company size, R&D focus, and overall data maturity. For a leading or mid-to-large pharmaceutical organization in Boston, the annual base salary generally ranges from $250,000 to $400,000, with top-tier companies offering higher compensation for exceptional experience.
2. Performance-Based Bonuses
In addition to the base salary, most compensation packages include annual performance bonuses tied to key metrics such as AI adoption, R&D acceleration, data-driven ROI, model performance, and organizational impact. These bonuses often range from 20% to 60% of the base salary, depending on individual performance and corporate success.
3. Equity & Long-Term Incentives
Pharmaceutical and biotech companies frequently offer equity incentives including stock options, RSUs, or performance shares. These stock-based rewards align leadership efforts with long-term organizational outcomes and scientific breakthroughs. Depending on valuation and company stage, equity can represent a substantial portion of your total package.
4. Long-Term Incentive Plans (LTIPs)
Many companies provide LTIPs designed to reward executives for sustained performance over several years. These incentives are based on long-term data platform growth, successful AI implementations, and multi-year R&D advancements. LTIPs significantly enhance overall compensation.
5. Executive Benefits & Perks
As a VP-level executive, you will typically receive an extensive benefits package, which may include:

Comprehensive medical, dental, and vision coverage
401(k) plans with company matching
Executive retirement and deferred compensation plans
Annual professional development allowances
Wellness and mental health programs
Paid conferences, travel, and industry event participation
Executive coaching and leadership development benefits

6. Signing Bonus & Relocation Assistance
For high-priority hires, companies may offer signing bonuses and relocation assistance. These one-time incentives may range from $25,000 to $150,000, based on experience and organizational urgency.
Total Compensation Potential
When combined, the full compensation package—including base salary, bonuses, equity, LTIPs, and executive benefits—can amount to $400,000 to $1 million+ annually, with higher ranges in leading biotechnology or publicly traded pharmaceutical organizations. High-growth and AI-driven pharma companies may offer even more competitive packages to secure top-tier talent.
How to Apply
If you are an innovative and strategic leader with deep expertise in AI, machine learning, and pharmaceutical data science, we invite you to apply for the VP of Data Science & AI – Pharmaceutical Company – Boston, MA role. This is an exciting opportunity to lead transformative AI initiatives, accelerate scientific discovery, and drive meaningful impact on global patient outcomes.
To apply, please submit your resume and a cover letter highlighting your experience in AI strategy development, advanced analytics, machine learning leadership, data architecture, cross-functional collaboration, and pharmaceutical R&D or commercialization. Emphasize your ability to build high-performing teams, implement enterprise-grade AI systems, and deliver measurable business and scientific value.
This role offers a unique opportunity to shape the future of data-driven healthcare and drive innovation across the drug development lifecycle. Apply today to take the next step in your executive career as the VP of Data Science & AI in a leading pharmaceutical organization.
For more information or to explore similar senior-level opportunities in AI, data science, and life sciences leadership, visit our Pharma Data Analytics Executive Search Firm Page.
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VP of Data Science & AI | Pharmaceutical Executive Jobs | AI Leadership in Pharma | Drug Discovery Analytics | Machine Learning Strategy | Life Sciences Technology Leadership | Bioinformatics & Data Science | Clinical Data Innovation | Healthcare AI Transformation