Lead Data Scientist - Clinical Data Operations & Insights at Novo Nordisk

Are you passionate about leveraging cutting-edge AI and Machine Learning techniques to generate scientific insights? Ready to make a significant impact within a global organization? Novo Nordisk is seeking a Lead Data Scientist to join our Clinical Data Operations & Insights group. If you have a strong foundation in mathematics, statistics, and computer science, with advanced algorithm development experience, apply today for a life-changing career.

The Position

The Lead Data Scientist is responsible for developing and implementing data science strategies and roadmaps to address business challenges and opportunities. You will drive innovation by developing advanced statistical analysis, machine learning (ML), deep learning (DL), or generative AI models and algorithms to provide actionable insights and solve business problems using data and AI. The role includes designing and implementing ML models to extract insights from clinical and non-clinical data, staying updated with the latest trends in data science, and integrating innovative technologies into existing processes. Additionally, you will oversee the entire data collection, analysis, and interpretation process to ensure high data quality and integrity, apply state-of-the-art methods in programming, statistics, ML, and visualization, and ensure compliance with regulatory requirements.

Responsibilities

• Strategic Development: Develop and drive data science strategies and roadmaps to address business challenges, leveraging advanced statistical analysis, ML, DL, or generative AI to provide actionable insights and solve complex problems.
• Design and implement machine learning models and algorithms to extract actionable insights from diverse data sets, ensuring innovation and addressing business needs.
• Technological Integration: Keep abreast of the latest trends in data science, integrating innovative technologies into existing processes to drive continuous improvement and operational efficiency.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to propose ideas, solutions, and strategies for tackling business challenges, ensuring alignment with business and IT objectives.
• Data Management and Compliance: Oversee the end-to-end process of data collection, analysis, and interpretation, ensuring high data quality and integrity. Apply state-of-the-art methods in programming, statistics, ML, and visualization to translate large data sources into business outcomes while ensuring compliance with regulatory requirements.

Qualifications

• Bachelor’s or master’s degree in software engineering, computer science, data science, information technology, mathematics, natural sciences, or a related field.
• Minimum of 7-9 years of experience in the data science domain, preferably 3-4 years within pharmaceutical/CRO organizations or the IT industry.
• Expert knowledge of computer systems involved in clinical data management, and proficiency in programming languages such as Python, SAS, SQL, R, and Jupyter. Hands-on experience in machine learning and deep learning/generative AI.
• Understanding of clinical data is preferred. Sound knowledge of business process analysis and design within the area of drug development.
• Extensive experience with collaboration across professional and regional borders, participation in conferences and workshops, and demonstrated experience in project and stakeholder management.
• Profound knowledge of GxP guidelines and regulatory activities within drug development.
• Advanced knowledge of relational database systems and data models.
• Clear communication skills and the ability to facilitate agreement between multiple stakeholders to ensure smooth end-to-end processes.
• Strong analytical skills and a quality mindset.

About the Department

Our Clinical Data Operations & Insights group is composed of approximately 400 professionals across India, Denmark, and North America. Data Management resides within Development, where we manage clinical drug development worldwide, ensuring compliance with global standards, regulations, and business ethics while delivering viable products that make a difference to patients and ultimately benefit society. Our newly formed Data Review and Cleaning group, located within the Data Management & Centralized Data Review Department at our Bengaluru site, works to centralize and modernize data review and cleaning processes, implement new methodologies, and develop innovative toolkits supporting the transformation.

Working at Novo Nordisk

Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong foundation within diabetes, we are expanding our commitment globally, impacting millions around the world and more than 40 million patient lives daily. Our success stems from the collaboration of over 63,000 employees worldwide. We value the unique skills and perspectives our diverse workforce brings, and we are committed to fostering