Machine Learning jobs in United States

Description

At Norstella, our mission is to help our clients bring life-saving therapies to market quicker and help patients in need.

Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle and get the right treatments to the right patients at the right time. Our organizations—Citeline, Evaluate, MMIT, Panalgo, The Dedham Group—deliver essential insights for strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:

• Accelerate the drug development cycle
• Bring the right drugs to market
• Identify barriers to patient access
• Turn data into insights faster
• Think strategically for specialty therapeutics

By combining efforts, we offer a wider breadth of expertise, cutting-edge data solutions, and advanced technologies such as real-world data, machine learning, and predictive analytics. As a leading global pharma intelligence provider, Norstella operates across the USA, UK, The Netherlands, Japan, China, and India.

Job Description

We are seeking a Technical Product Solutions Product Management Director to lead the design and implementation of scalable real-world data (RWD) solutions architecture. This role is part of the Product team, working closely with Engineering to ensure technical feasibility and execution. The ideal candidate has expertise in healthcare data, including claims, EHR, lab, and other RWD types, and is skilled in translating business needs into high-impact data products.

Responsibilities

• Define and drive requirements for RWD data products
• Collaborate with leadership, product managers, customers, and data scientists to identify high-value use cases
• Translate business and regulatory requirements into scalable data models and solutions
• Work with Engineering to design and implement analytics layers and data architectures
• Provide guidance on ETL pipelines, data normalization, and third-party RWD integration
• Architect solutions for aggregating, standardizing, and analyzing EHR and molecular data, ensuring compliance with healthcare regulations (HIPAA, GDPR)
• Define best practices for claims data ingestion, quality control, and transformations
• Develop frameworks for processing structured and unstructured EHR data, leveraging NLP and data harmonization techniques
• Ensure compliance with healthcare data regulations and define data governance strategies

Requirements

• Ability to translate business needs into technical solutions and lead execution
• Understanding of data product lifecycle and management principles
• Experience with cross-functional teams including Product, Engineering, Clinical, Business, and Customer Success
• Proficiency in SQL and NoSQL databases (PostgreSQL, Snowflake, MongoDB, etc.)
• Knowledge of ETL processes, data pipelines, and big data processing tools (Spark, Databricks, Hadoop)
• Experience with healthcare data standards (OMOP, FHIR, HL7)
• Knowledge of data governance, metadata management, and lineage tools
• Experience in pharmaceutical RWE studies and market access analytics
• Familiarity with BI tools like Tableau, Power BI, Looker

Benefits

• Health Insurance
• Provident Fund
• Life Insurance
• Reimbursement of Certification Expenses
• Gratuity
• 24x7 Health Desk

Our Principles for Success

• Bold, Passionate, Mission-First: Focused on our mission to improve access to life-saving therapies.
• Integrity, Truth, Reality: Honest and realistic in our goals and data.
• Kindness, Empathy, Grace: Foster open communication and collaboration.
• Resilience, Mettle, Perseverance: Persist through challenges.
• Humility, Gratitude, Learning: Continuous learning and humility in our work.

We welcome everyone who shares our passion. If you feel excited about this role, we look forward to your application.