AddressSenior Data Scientist - Real World Data
Category: Data & AI
Location: London, London, GB
Are you looking for an opportunity to apply your statistical skills and work with data from health records and observational clinical data? And are you ready to join a team of outstanding Data Scientists and epidemiologists using advanced analytics to improve lives of people with chronic diseases?
Then this may be your opportunity to pursue an exciting career in a global organisation! We are expanding our Real-World Science departments to London, and are looking for two highly motivated and skilled Senior Real-World Data Scientists.
The position
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. Our data comes from in-licensed databases of electronic medical records or health insurance claims, observational studies, digital health initiatives through partnerships with medical technology companies, 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
Requirements:
- 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.
- 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).
- 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 orally and in writing.
Additional preferred qualifications:
- Experience from pharmaceutical industry or consultancy
- PhD degree in a relevant field.
- Experience with statistical methods on causal inference.
- Experience with SQL.
- Experience with git, Linux, creating dashboards using R/Shiny or other software, project coordination and technical writing.
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 has presence in Søborg (Denmark), London (UK), and Lexington, MA (USA). The department focus on insights and larger studies investigating 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.
Contact
For further information, please contact the hiring managers Suvi Hokkanen at RSXH RSXH@novonordisk.com or Gregers Stig Andersen at GSA@novonordisk.com
Deadline
Please apply before 7th April 2024.
Some interviews may be conducted before the deadline.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
