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Senior Data Scientist
2 months ago
Senior Data Scientist - Real-World Data Expert
We are seeking a highly motivated and skilled Senior Data Scientist to join our team at Novo Nordisk. As a Senior Data Scientist, you will contribute analytical and advanced programming skills to a team of data scientists and epidemiologists that, together with stakeholders from across the organisation, create actionable insights and evidence from real-world data.
Key Responsibilities:
- Participate in designing, planning, developing, and documenting studies to make informed decisions based on data.
- Write, document, and maintain code in R and SQL to transform, standardise and aggregate data to create analysis-ready data sets from large amounts of raw data.
- Evaluate data quality of potential new data sets.
- Apply state-of-the-art methods within statistical analysis, programming, and visualisation to generate insights and knowledge from our large and diverse data sources.
Requirements:
- Master's degree in Life sciences, e.g. Biostatistics, Mathematics, Physics, Computer Science, Data Science or equivalent.
- Experience in managing, analysing, documenting, and programming comprehensive data.
- Experience with real-world data (RWD), such as medical records or health insurance claims.
- Expertise in classical statistical methods such as regression analyses and survival analyses (including competing risk).
- Experience in advanced analytical methods such as machine learning approaches.
- Quickly understand stakeholder needs and translate those into solutions and results through programming and analyses.
- Strong programming skills and experience with transforming millions of rows of data by writing advanced, well-performing and maintainable code in R, Python or similar.
- Fluent communication in English, both written and spoken.
Preferred Qualifications:
- PhD degree in a relevant field with complementing experience from the pharmaceutical industry or consultancy.
- Experience with statistical methods on causal inference and with SQL.
- Hands-on knowledge in git, Linux, when creating dashboards using R/Shiny or other software, project coordination and technical writing.
About Us:
Novo Nordisk is part of the Artificial Intelligence and Digital Research (AIDR) area, which sits within the wider Digital Science & Innovation (DSI) organisation. DSI is supporting the digital journey across all our therapy areas in Novo Nordisk Research and Early Development. The CPH department focuses on insights and causal relationships from real-world data through advanced statistical and machine learning methods. We analyse many different data sources to generate evidence to support drug discovery, preclinical and early clinical drug development projects.
Our Culture:
We are committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. From research and development, through to manufacturing, marketing, and sales – we're all working to move the needle on patient care.
