The Position

The Lead Data Scientist AI/ML role, reports directly to the Senior Director of the corresponding research area. This position involves liaising with a diverse array of both internal and external stakeholders and team members across the United States, Denmark, and the United Kingdom.

This role is an excellent opportunity for an individual looking to utilize and expand their skills in a challenging and rewarding environment. The candidate will have the chance to contribute significantly to our ongoing projects, and in doing so, make a real difference in the field of healthcare. It is important that you can clearly communicate advanced methods and ideas to all our stakeholders and regulatory authorities.

In the role of Lead Data Scientist, you will leverage your expertise in causal inference and statistical machine learning to support therapeutic area specific activities and help improving the design and implementation of future trials.

Among your responsibilities there will be:

• Implementation of state-of-the-art targeted learning techniques to support the design of new clinical trials where you will help creating new insights on personalized treatments and disease pathways to help our patients getting access to even better treatments.
• Supporting and guiding the team on the choice of methods and implementations and help mentor team members.
• Communicating with the stakeholders in other project and medical science teams and align on the expected outcomes and timelines.
• Collaborating closely with other data scientists, medical specialists, and epidemiologists,
• Collaborating across multiple disciplines to spearhead innovation and applying cutting-edge targeted learning techniques.

This is a hybrid role, based in our newly established offices in the heart of London.

Qualifications

The ideal candidate for this role would come with strong background in mathematics and statistics, equivalent to a PhD level of knowledge and understanding. They would present significant experience in clinical or theoretical research, with a particular emphasis on causal inference and targeted learning / semi-parametric inference, together with and experienced in leading research projects and aligning with stakeholders on the expected outcomes and timelines.

To succeed in the role, you will have the following qualifications and experience:

• Collaborating across multiple disciplines to drive innovation,
• Applying estimators based on efficient influence functions, including (augmented) inverse probability weighting estimators or TMLE with stacked generalization and cross-fitting techniques
• Working with longitudinal data and applying modern mediation analysis techniques
• Analyzing event history data and clinical data
• working with randomized designs, and in a pharmaceutical company 

It will be a strong advantage if you have:

• Good programming skills in Python / R
• Experience with agile ways of working, devops, version control, unit testing, and deployment
• Proficiency in data integration and manipulation

About the department

The AI and Analytics Department is part of Novo Nordisk's Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide novel data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting-edge research and technology.

We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse, and passionate people who have a true sense of pride in their work. We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic disease.

Working at Novo Nordisk

Everything we do starts and ends with the patient. And, while changing the future of chronic disease treatment, such as diabetes and obesity, is no easy task, we also recognize the importance of an enjoyable workplace, which is why we’ve cultivated a culture of fun, ingenuity, and innovation. Our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience.

Contact

• Rishi Kavir (HKVR@novonordisk.com), Senior Director, AI&ML Sciences Novo Nordisk
• Klaus Holst (KKZH@novonordisk.com), Principal Data Scientist, AI&ML Sciences Novo Nordisk

Deadline

Please apply before 14th April 2024.

Please note that applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.

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.