Why Join Norstella?
At Norstella, we bring together leading companies with a shared mission: improving patient access. Our teams at Evaluate, MMIT, Panalgo, Citeline, and The Dedham Group provide essential insights for critical strategic and commercial decision-making.
Together, we equip our clients to:
Evaluate market needs and competitive landscapes
Identify key drugs to prioritize in their portfolios
Anticipate potential launch challenges
Enhance market access after launch
By pooling our expertise at Norstella, we deliver advanced data solutions and advisory services, leveraging cutting-edge technologies such as real-world data and predictive analytics. We don’t just provide information — we deliver actionable insights.
About Our Team:
The Data Science team at Norstella is leading the charge in transforming pharma intelligence and ensuring patients can access life-saving therapies. With advanced technology and a passion for innovation, we turn vast data landscapes into actionable insights that enable informed decisions.
With a unique collaborative approach, we combine data science with product development insights. Our expertise in machine learning, artificial intelligence, and advanced statistical modeling, coupled with our industry knowledge, allows us to provide clients with solutions that keep them ahead in a fast-paced environment.
The Opportunity:
As the Director of Data Science at Norstella, you will establish the strategic vision for our data science capabilities and manage a talented team of data scientists and engineers. As both a technical expert and a people-oriented leader, you’ll cultivate talent, shape organizational culture, and deliver AI-driven solutions that significantly impact patient access.
Define and implement the data science strategy in partnership with product, engineering, and executive teams to prioritize project roadmaps.
Lead, mentor, and expand a team of data scientists and ML engineers, nurturing a culture of excellence and continuous learning.
Recruit top-tier talent and create comprehensive career development pathways within the organization.
Promote the adoption of Generative AI, Agentic AI, and Large Language Model (LLM) architectures, developing reference frameworks for their use.
Work with product leadership to identify and prioritize impactful projects that enhance our offerings.
Ensure successful delivery of AI-enabled microservices with content and engineering teams.
Establish and advance engineering standards and best practices for scalable, high-performance AI systems.
Stay updated on AI/ML research, delivering insights and presentations to stakeholders about emerging trends.
Collaborate across functions to operationalize data science solutions, ensuring they drive measurable business outcomes.
What We’re Looking For:
10+ years of experience in developing and deploying AI/ML applications and delivering scaled data solutions.
Proven leadership and management experience within data science teams, including hiring and talent development.
Success in building and scaling high-performing teams with structured growth programs.
Strong hands-on expertise in Generative AI, LLMs, Agentic AI, and advanced NLP techniques.
Experience in designing LLM applications, including prompt engineering and retrieval-augmented generation (RAG).
Graduate degree in Computer Science, Engineering, Statistics, or related quantitative field, or equivalent experience.
Proficiency in Python and core data science libraries such as Pandas, NumPy, and PyTorch/TensorFlow.
Strong foundational knowledge in computer science fundamentals, algorithms, and computational complexity.
Experience designing and developing large-scale distributed systems in Agile environments.
Exceptional communication skills, with the ability to convey complex technical concepts to diverse audiences.
Preferred Qualifications:
PhD in Computer Science with research focus in AI/ML and a publication record in reputable venues.
Experience in the healthcare or life sciences sector, specifically with AI in pharmaceutical or market access data.
Hands-on familiarity with AWS ML services like SageMaker and Lambda.
Knowledge of knowledge graphs, structured reasoning, and hybrid retrieval architectures.
Prior Director-level experience in a dynamic data-driven environment.
Benefits:
Comprehensive Medical and Prescription Drug Benefits
Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
Dental & Vision Benefits
Basic Life and AD&D Benefits
401k Retirement Plan with Company Match
Paid Short & Long-Term Disability
Paid Parental Leave
Generous Paid Time Off & Company Holidays
Please note: all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers and are not currently accepting candidates on an OPT visa.
The expected base salary for this position ranges from $225,000 to $275,000, with offers typically made below the top of the range, based on factors such as skills, experience, education, and relevant certifications. A discretionary bonus is also available.
Norstella is an equal opportunities employer, committed to a discrimination-free workplace. We value diverse perspectives and strive for an inclusive environment where everyone can contribute to our success.