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Axtria - Ingenious Insights

Director - Data Science – GenAI (1201)

Posted 14 Days Ago
Be an Early Applicant
In-Office
Boston, MA
Senior level
In-Office
Boston, MA
Senior level
Lead AI/ML and GenAI initiatives across life sciences clients, focusing on scaling offerings, driving growth, and delivering innovative solutions.
The summary above was generated by AI

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.

About Axtria’s Data Science CoE
Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment.

The Opportunity
We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations.

Key Responsibilities

  • Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions.
  • Design solution frameworks to accelerate AI adoption and impact patient outcomes.
  • Develop and pitch proposals to grow the Data Science practice and Axtria’s client base.
  • Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration.
  • Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment).
  • Mentor and build a high-performing data science team, fostering best practices and thought leadership.
  • Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market.

Qualifications

  • Bachelor’s degree required; MS/PhD in Computer Science or related field preferred.
  • 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops.
  • Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data.
  • Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment.
  • Strong consultative and client-facing experience with a commercial mindset.
  • Experience in RFP development, solution selling, and delivering AI applications in life sciences.
  • Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus.
  • Patents or publications in AI/ML a strong plus.

Why Join Axtria

  • Work with top-tier talent in a dynamic, employee-first culture.
  • Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO).
  • Shape the future of AI in life sciences and make a real impact on healthcare outcomes.

Why Join Axtria

  • Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc.
  • Shape the future of AI in life sciences and make a real impact on healthcare outcomes.
  • 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) Boston, MA 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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Top Skills

Azure)
Big Data
Cloud Platforms (Aws
Keras
Nlp
Python
R
TensorFlow

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