Senior Data Scientist - Real World Data

Key Skills

Biostatistics, Data Analysis, Data science techniques, Effective communication skills, Git, Linux Operating system, R Programming, SQL, Statistics

Job Description

The position

You will contribute analytical and advanced programming skills to a team of data scientists that, together with epidemiologists and stakeholders from across the organisation, create actionable insights and evidence from real-world data. Our data comes from digital health initiatives through partnerships with medical technology companies, in-licensed databases of electronic medical records or health insurance claims, observational studies, and many other sources. 

Your main responsibilities will be:

• Apply state-of-the art methods within statistical analysis, programming, and visualisation to generate insights and knowledge from our large and diverse data sources.
• Create user-friendly dashboards. 
• 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. 

Qualifications 

To thrive in this role you have: 

• Master’s degree in Life sciences e.g. Biostatistics, Mathematics, Physics, Computer Science, Data Science or equivalent 

• Experience with managing, analysing, documenting, and programming comprehensive data 
• Expertise in classical statistical methods such as regression analyses and survival analyses (including competing risk). 
• 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. 
• Fluent communication in English, both orally and in writing. 

It would be considered a plus if you have a PhD degree in a relevant field or experience in:

• Pharmaceutical industry, consultancy, or a medical/biological area 
• Statistical methods on causal inference. 

• SQL. 
• Git, Linux, creating dashboards using R/Shiny or other software, project coordination and technical writing. 
• Real world data (RWD), medical records or health insurance claims. 

We emphasise accountability and reaching goals through a collaborative effort, thus it is essential that you use your good interpersonal and communication skills to achieve results together with others. You enjoy responsibility and complete your assignments proactively and within timelines.

About the department 

In Development, we are responsible for managing clinical drug development worldwide from early development phases to product launch and beyond. We provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations, and business ethics. 

The department of Real-World Science is part of Data Science in Development and located in Søborg, Denmark. The department focus on insights and causal relationships from real world data (RWD) through advanced statistical methods. We analyse many different data sources to generate evidence to support clinical drug development projects and launched products. You will be joining a team of highly professional, engaged, and motivated data scientists and epidemiologists. 

Working at Novo Nordisk 

At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development, through to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.