Data Science Specialist, Computational Real-World Evidence (cRWE), Data Science, London

Novo Nordisk A/S; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Novo Nordisk A/S is seeking a Data Science Specialist in London to lead high-priority projects within Computational Real-World Evidence (cRWE). You will translate complex real-world patient data into decision-ready evidence, applying advanced analytics, ML, causal inference and AI to support early R&D decisions across cross-functional teams.

The role requires a PhD or equivalent and strong programming skills in Python/R, plus experience with longitudinal data in cloud HPC settings.

Qualifications

• PhD or equivalent research experience in data science, statistics, mathematics, physics, computer science or related quantitative field.
• Strong expertise in statistical modelling, ML/AI, with ability to select and evaluate methods.
• Significant experience with longitudinal patient-level datasets such as EHRs, claims, registries or large cohorts.
• Experience with causal inference, longitudinal modelling, clustering, survival analysis and modern AI in biomedical research.
• Proficient in Python and/or R, including cloud-based HPC and reproducible research practices.

Responsibilities

• Lead high-priority data science projects supporting preclinical and early development decisions.
• Develop and implement analytical approaches across causal inference, ML, deep learning and multimodal data analysis.
• Translate biological and portfolio questions into executable analysis plans and actionable evidence.
• Drive scientific quality, reproducibility and rigorous interpretation of uncertainty, bias and causality.

Skills

Statistical modelling

Machine learning

Causal inference

Longitudinal data analysis

Python

R

Cloud computing

Education

PhD or equivalent

Tools

Python

R

Job description

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Data Science Specialist, Computational Real-World Evidence (cRWE), Data Science, London

Category: Data & AI

Location:
London, London, GB

Are you passionate about turning complex real-world patient data into evidence that shapes the future of medicine? Do you thrive at the intersection of data science, human health and strategic decision-making? Join Novo Nordisk as a Data Science Specialist and help drive critical early R&D decisions by applying advanced analytics, machine learning, causal inference and AI to some of the most important questions in drug discovery and development.

Your new role

As a Data Science Specialist, you will be a senior individual contributor within Computational Real-World Evidence (cRWE), helping convert large-scale observational human data into decision-ready evidence that supports disease understanding, target discovery, target maturation and early development decisions.

Working across diverse scientific disciplines, you will provide both hands‑on analytical leadership and strategic guidance, ensuring that scientific questions are translated into robust analytical approaches that influence portfolio and pipeline decisions.

Your key responsibilities will include:

Leading high-priority data science projects that support preclinical and early development decision-making.

Developing and implementing analytical and agenticAI approaches across causal inference, statistical modelling, machine learning, deep learning and multimodal data analysis.

Translating biological, clinical and portfolio questions into executable analysis plans and actionable evidence.

Driving scientific quality, reproducibility and analytical excellence across projects, ensuring appropriate interpretation of uncertainty, bias and causality.

You will work closely with experts across research, biology, epidemiology, translational medicine, clinical development and data science to generate evidence that can meaningfully impact strategic R&D decisions.

Your new department

Computational Real-World Evidence (cRWE) is part ofData Science within the AI & Digital Innovation organisation. The team applies causal inference, advanced statistics, machine learning and artificial intelligence to population-levellongitudinal datasets, including electronic health records, claims data, disease registries and large human cohorts.

Our work focuses on the early stages of the R&D value chain, helping scientists better understand diseases, identify patient subgroups, validate targets and strengthen the evidence required before first human dose.

You will join a highly collaborative, international team where scientific curiosity, innovation and methodological excellence are valued equally. The environment offers a unique opportunity to work on complex biomedical questions while contributing to the evolution of advanced data science and agenticAI capabilities across Novo.

Your skills and qualifications

To succeed in this role, you combine deep technical expertise with scientific judgement, strong communication skills and a passion for solving complex healthcare challenges.

We are looking for candidates with:

A PhD or equivalent research experience in data science, statistics, mathematics, physics, computer science, computational biology or another quantitative discipline.

Strong expertise in statistical modelling, machine learning, AI or a related discipline, with demonstrated ability to select and evaluate appropriate methodologies.

Significant experience working with longitudinal patient-level datasets such as electronic health records, medical claims, registries or large human cohorts.

Significant experience with causal inference, longitudinal modelling, clustering, survival analysis and modern AI approaches relevant to biomedical research.

Strong programming skills in Python and/or R, including experience working in cloud-based high-performance computing environments and reproducible research practices.

In addition, experience supporting drug discovery, translational research, target validation or early development within the pharmaceutical, biotech or technology sectors would be highly advantageous.

Working at Novo

Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long‑term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you’re not just starting a job – you’re becoming part of a story that spans generations.

What we offer

There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.

The placement within the salary range will be assessed during the recruitment process based on the candidate’s skills, competencies, knowledge, and relevant experience.

Incentives and Benefits: The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.

Learn more about our Reward Philosophy here .

Deadline

Apply before 6 October2026. Applications will be reviewed on an ongoing basis, and we encourage interested candidates to apply as early as possible.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.