Senior Data Scientist - Omics

Category:  Information Technology & Telecom
Location: 

Søborg, Capital Region of Denmark, DK

   

Principal/Senior Data Scientist – Omics

 

Are you enthusiastic about driving the design of next generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you want to be on the cutting edge of science to discover novel therapies and delivery technologies that patients both need and want? 

 

About the department

 

The AI and Analytics Team 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 superior 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. 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. 

 

The Position

 

The Data Scientist – Omics will contribute to the research team's effort towards exploring and creating new technology and being a world leader in data science within our fields. The Data Scientist will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context. Moreover, the Data Scientist will work in a team and collaborate closely with other domain experts in various therapeutic areas, ML engineering, Biostatistics, etc to contribute to the development and validation of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models.


As Data Scientist focusing on Omics, you will:

  • develop and deploy omics workflows to process and analyze different omics data, such as proteomics, transcriptomics, metabolomics, etc
  • develop, validate and deploy advanced algorithms to draw insights from omics data
  • implement and maintain local and cloud-based data and computational environments and platforms to integrate omics data
  • develop visualization tools to communicate insights and results

 

The Data Scientist – Omics reports to the head of the related research area. Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US and Denmark. External relationships include commercial and academic collaboration partners.

 

***Please note we are open to hiring at more senior titles commensurate with experience***

 

****Workplace Denmark/Copenhagen, but remote working can be discussed****

 

Qualifications

 

A Bachelor’s degree with 3+ years’ relevant experience required or master’s degree with 1+ years’ relevant experience, PhD or postdoctoral can be considered; advanced degree can be substituted for experience. Degree within computer science, molecular biology, chemistry, genetics, computational biology, or a related quantitative discipline preferred.

 

Relevant experience includes

  • Experience with software development which includes writing high quality code processing data using Python, R, or Matlab.
  • Ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes.
  • Experience with various bioinformatics approaches, techniques and tools.
  • Experience developing and implementing advanced machine learning methods
  • Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.

 

Preferred experience includes

  • Experience in handling and analyzing large patient or biological datasets, UK Biobank, TCGA, etc
  • Experience in one or more omics type, such as genomics, transcriptomics, metabolomics, etc
  • Experience in data management, database management system, and familiarity with NoSQL and/or Graph database.
  • Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.
  • Excellent written and oral communication skills
  • Detail oriented with strong documentation skills

 

Contact

If you would like more information about the position, please reach out to the hiring manager, Keng Soh, Advanced Analytics & Real World at kegs@novonordisk.com

 

Deadline

10 July

 

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

 

You do not need to attach a cover letter to your application, but please include a few lines about your motivation in your resume or CV. Please assist us in maintaining a fair and inclusive selection process by not attaching a photo to your application.

 

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.