$204,250 - 312,000 yearly
Number of Applicants
:000+
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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.
Role Summary
As a GenAI/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
Business Growth
Strategic Advisory & Thought Leadership
Team & Capability Building
Experience & Skills:
Education:
Why Join Axtria
Additional Details
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 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 applicant’s geographic location.
The salary range reflected is based on a primary work location of Boston, Massachusetts. The actual salary may vary for applicants in a different geographic location.
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