Principal Product Manager, Data Science

Principal Product Manager, Data Science Company: Norstella Location: Remote, United States Date Posted: Jun 4, 2026 Employment Type: Full Time Job ID: R-1967 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Evaluate, MMIT, Panalgo, Citeline and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, we help our clients: Assess themarket need and competitive landscape Know precisely which drugs to prioritize in their portfolios Find out where the launch difficulties will be—before they're difficulties Track and improve market access post-launch By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. At Norstella, we don't just deliver information and insights. We deliver answers you can act on. The Team: Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. The Role: In this role as a Principal Product Manager, Data Science, you will: Collaborate with product leadership to identity, elaborate and prioritize projects. Partner with business-product managers to explore new opportunities to build customer facing capabilities with AI and build and maintain the data science project pipeline. Help define requirements and success metrics for identified projects and collaborate with data scientists and engineers to deliver on the commitments. Lead marketing activities for the data science team, facilitate ideation sessions to help the entire product organization innovate, and introduce processes that promote transparent prioritization, data-driven decision making, and reuse of our platforms and capabilities across the company. Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments. Serve as the company-wide expert in one or more complex technical areas and its business applications (e.g., entity mastering, knowledge graphs, search optimization, RAG). All other duties, as assigned. Requirements: 6+ years of experience applying AI / ML to business applications and delivering data driven solutions. Proven track record of innovating on behalf of the customer in close collaboration with business teams and delivering revenue generating products into production. Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience. Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques. Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries. Experience with delivering large-scale distributed systems in an agile environment and the ability to build quick prototypes. Experience leading a portfolio of complex data science projects and mentoring junior team members. Excellent problem solving and communication skills. Preferred Qualifications: Knowledge of the healthcare domain and experience with applying AI to healthcare data. Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake. Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs. Benefits: 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. Company Paid Short & Long-Term Disability. Paid Parental Leave. 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. We are not currently accepting candidates who are on an OPT visa. The expected base salary for this position ranges from $185,000 to $225,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to a base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.