Principal Data Scientist - Omics Data (1 year maternity cover) (Denmark, Måløv)

Jobbeskrivelse
Placering
Måløv, Denmark

Jobkategori
Data & AI

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Are you an experienced data scientist with expertise in omics data, human cohorts, clinical trials, and both in vitro and in vivo research data? Do you aspire to work alongside top-tier colleagues in advancing patient endotype research efforts in cardiometabolic and renal diseases?

If you are excited about making a direct impact on pipeline progression and thrive at the intersection of data science and biology, come join our newly established Translational Data Science Unit (TDSU) within the Cardiovascular & Renal Disease (CV&RD) Research Therapy Area (TA). Apply now and be part of the transformation!

The Position
As Principal Data Scientist, your role involves supporting pipeline projects through governance interactions, identifying key patient endotypes across our TAs, as well as developing translational biomarker hypotheses and improving the modes of actions understanding.

You will work with a large network of stakeholders internally within the CV&RD and externally across our partner organisations, thereby playing a crucial role in driving human data application in research, drug discovery, and development.

You will report to the Head of Translational Data Science Unit and collaborate closely with scientists from CV&RD TA, Computational Biology, Genetics, Precision Medicine, Machine Intelligence, Research Engineering, Data & Knowledge Discovery, Global Development, and other relevant units across US, UK, China, and Denmark.

Your key responsibilities include:

• Performing analysis, visualisation, and interpretation of large human cohort and trial multi-omics data (e.g., proteomics, metabolomics, RNA-seq data)
• Cooperating with cross-functional teams to translate omics insights into pipeline projects entry and progression
• Developing and applying computational methods, including machine learning to explore disease mechanisms and progression in cardiovascular and renal areas
• Integrating and interpreting internal and public omics datasets and help generate testable biological hypotheses
• Interpreting and communicating findings through clear visualisations, technical reports, and presentations to both internal and external stakeholders
• Maintaining thorough documentation, version control, and continuous improvement of research tools and workflows

The position may require up to 10% overnight travel.

Qualifications
To be successful in this role, we believe you to:

• Hold a Ph.D. or a Master’s degree in Computational Biology, Bioinformatics, Biostatistics, Systems Biology, Genetics, Computer Science, or Translational Research
• Bring 5+ years of post-graduation experience, ideally in the industry, with strong expertise in proteomics, metabolomics, transcriptomics data analysis
• Demonstrate proven skills in multi-omics data analysis and HPC or cloud computing platforms, bioinformatics tools, workflows, and major public omics databases
• Possess hands-on experience with at least one of the following: machine learning, longitudinal modeling, network biology, Bayesian reasoning, or semi-structured data
• Showcase a proven ability to review complex, large-scale human omics data within genetics, epidemiology, and clinical trial biomarker studies
• Be familiar with various human cohort data (e.g., clinical trials, population studies, consortia), with fluency in Python and/or R

A background in chronic diseases such as obesity, type 2 diabetes, cardiometabolic disease, neurological disease, or inflammation research, as well as experience in machine learning/ deep learning, data integration, visualisation, management, or information systems is a plus.

As a person, you have outstanding written and verbal communication skills, successfully building relationships across diverse areas and navigating complex, matrix environments with many stakeholders involved. You have a strong commitment to quality, attention to detail, and team player mentality, while also capable of working on your own and driving projects forward. You thrive in dynamic settings, embracing challenges with dedication and excelling in a role and team that delivers at very high levels.

About the Department
Translational Data Science Unit (TDSU), under the Cardiovascular & Renal Disease (CV&RD) Research Therapy Area, focuses on human data driven disease understanding, starting with identification of patient endotypes, key underlying disease mechanisms and target identification based on human data cohorts from internal clinical trials and external partner collaborations. TDSU is a highly collaborative unit that is reliable on key stakeholder interactions across our data science units, other departments within the CV&RD, and parts of Early Development.

TDSU is newly established unit that is championing a new way of working, focused on human data centricity. We are doing that by integrating CV&RD therapy area with various data science areas with the aim of enhancing the use of human data for research project initiation, validation, and progression throughout the various stages of the pipeline. Furthermore, we strive to facilitate data centricity in CV&RD by data science input to experimental design, guide data science infrastructure, build, and onboarding CV&RD therapy are to data FAIRness principles.

We are based in Denmark, Måløv, but collaborating with Novo Nordisk global teams, with major stakeholders based in the UK. We participate in drug development projects across the value chain, from early discovery to pre-clinical development and engage in external collaborations with academic partners and biotech companies to ensure access to the latest research, data and technological enablers.

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 details, please reach out to VP Natasha Barascuk Michaelsen at nbkm@novonordisk.com or at +45-30798744.

Deadline
21 April 2025.

Applications will be reviewed on an ongoing basis, so we encourage you to apply as soon as possible.

You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo to your CV.

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.