Principal – Data Science (1202)

Berkeley Heights, NJ
Full Time
Data Science CoE
Senior Executive

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.

Role Summary

As a Data Science Leader, you will drive high-impact AI/ML strategy and delivery across commercial, medical, and clinical domains for top global pharma clients. This Executive-track role blends strategic client advisory, revenue generation, and team leadership. You’ll design and implement cutting-edge GenAI, predictive modeling, NLP, and experimentation pipelines using Axtria platforms—delivering measurable business impact and improved patient outcomes.

Key Responsibilities

Client & Delivery Leadership

  • Lead complex, high-value data science engagements across commercial and medical domains.
  • Architect GenAI, causal inference, NLP, and predictive models using Axtria’s platforms.
  • Solve critical problems across the stakeholder journey, e.g., GTM strategy, omnichannel orchestration, patient support.
  • Ensure delivery governance, scientific rigor, and business value realization.

Business Growth

  • Drive $1M+ in annual new revenue through client expansion, solution selling, and platform cross-sell.
  • Identify whitespace opportunities and influence go-to-market strategies in AI and data science.

Strategic Advisory & Thought Leadership

  • Serve as trusted advisor to VP/CXO-level stakeholders; shape AI/ML Data Science strategy and analytics transformation.
  • Lead workshops, develop industry points-of-view, and contribute to thought leadership through whitepapers, conferences, and publications.
  • Contribute reusable IP, agent libraries, and GenAI asset kits aligned with commercial, medical and clinical domains.

Team & Capability Building

  • Build, lead, and mentor global data science teams.
  • Attract and retain top talent while establishing learning agendas and knowledge assets.
  • Foster a culture of scientific excellence, reusability, and ethical AI.

Experience & Skills:

  • 18+ years in data science, analytics, or AI consulting with a focus on life sciences or healthcare.
  • Deep domain expertise in commercial pharma analytics, RWE/HEOR, field force optimization, and patient-level data.
  • Advanced technical skills in GenAI (LLMs, RAG), causal modeling, NLP, and predictive modeling (Python, R, SQL).
  • Cloud deployment expertise (AWS, Azure, GCP), MLOps, and data governance experience.
  • Executive presence; proven ability to lead $1M+ client engagements and consultative sales cycles.
  • Strong leadership and mentoring track record with global delivery teams.

Education:

  • Master’s or PhD in Data Science, Biostatistics, Computer Science, Epidemiology, Public Health, or related field.

Why Join Axtria

  • Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.
  • Career Growth: Entrepreneurial environment with strong leadership exposure and Partner-track potential.
  • Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies.
  • Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain.

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.


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