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Axtria - Ingenious Insights

Principal, Data Science Leader (1203)

Reposted 7 Days Ago
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In-Office
Boston, MA
204K-312K Annually
Expert/Leader
In-Office
Boston, MA
204K-312K Annually
Expert/Leader
The Principal Data Science role leads AI/ML strategy and delivery for pharma clients, involving advanced modeling and client engagement to drive business growth.
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About Axtria

Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes.

Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement.

As a Data Science Principal Leader, you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows.
Key Responsibilities
P&L Ownership & Strategic Growth

  • Own and manage a portfolio P&L of $10M+ with accountability for revenue growth, gross margins, and delivery excellence.
  • Lead BD pursuits with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement.
  • Develop and convert pipeline opportunities ($3M–$5M range) by aligning client priorities with Axtria’s GenAI and ML offerings.
  • Influence account strategy, pricing models, investment cases, and strategic alliances.
Client Advisory & Large-Scale Delivery
  • Serve as executive sponsor for complex client engagements—shaping solution vision, engagement design, and business impact realization.
  • Advise VP/CXO-level stakeholders on Data Science, AI/GenAI strategy, analytics modernization, and operating model transformation.
  • Oversee solution delivery teams (30+ globally), ensuring scientific rigor, innovation velocity, and commercial impact.
  • Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions.
Innovation, IP, and Agentic Solutions
  • Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions.
  • Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows.
  • Contribute to the firm’s IP portfolio through thought leadership, open-source tooling, and platform accelerators.
Team & Capability Development
  • Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU.
  • Recruit, mentor, and upskill top-tier data scientists, ML engineers, and GenAI specialists.
  • Foster a high-performance culture anchored in continuous learning, ethical AI, and measurable impact.

Experience:
  • 18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare.
  • Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field.
  • Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth.
  • Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics.
  • Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP.
  • Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks.
  • Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value.
  • Strong executive presence and ability to influence business, IT, and analytics functions.
  • Exceptional track record in building global teams and delivering innovation at scale.

Additional Details
  • Hybrid work model (3 days onsite) Berkeley Heights, NJ or client.
  • Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO.

Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.
Pay Transparency Laws
Salary range or hourly pay range for the position
The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.
The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.
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Top Skills

AWS
Azure
GCP
Genai
Python
R
SQL

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