Senior Machine Learning Scientist



This job posting expired and applications are no longer accepted.
Novo Nordisk
Published
21.10.2024
Location
London, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE

Location: London, UK

Permanent, full-time role

Hybrid working model – at least 2 days from the office

Please apply before 2nd November 2024. 

For over 100 years we have been driving change to defeat diabetes, but we know that what got us here today is not necessarily what will make us successful in the future. We are now transforming our business and taking our expertise into new territories including obesity and rare blood and endocrine diseases.

Our story is one of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality – Britain’s Healthiest Workplace.

The position

We are seeking a skilled Machine Learning Scientist to join our dynamic team in London. You will play a pivotal role in supporting our target and biomarker discovery pipeline through the development of cutting-edge AI/Machine Learning (ML) methodologies.
In this role, you will:

  •  Lead research and development efforts on representation learning methods for biological data.
  • Ensure that AI/ML methods have a meaningful impact on Novo Nordisk’s research portfolio.
  • Collaborate closely with key departments, including computational genetics, biology, and drug design, to drive AI advancements across the organization.
  • Stay at the forefront of AI/ML research, focusing on deep learning, representation learning, and multi-modal data integration.
  • Present findings and engage with stakeholders through reports, presentations, and scientific publications.

This is a hybrid role, requiring two days per week in our new London office at King’s Cross.

Qualifications

To thrive in this role, we imagine that you have:

  • A PhD in AI/ML or bioinformatics, with hands-on experience in developing machine learning models.
  • Industrial or post-doctoral experience in AI/ML within the life sciences domain.
  • Expertise in predictive and generative machine learning models, particularly for single-cell RNA-seq, OMICS, genetics, or real-world data.
  • Solid proficiency in Python and deep learning libraries such as PyTorch.
  • Familiarity with multi-modal data integration, bioinformatics, and representation learning.
  • A strong passion for and experience in writing publications.
  • Strong communication skills to effectively convey complex technical concepts to diverse audiences.

About the department

The Machine Intelligence department at Novo Nordisk is at the forefront of integrating AI and machine learning with biological data to drive scientific discovery. Based in London, at the heart of the Knowledge Quarter, you will be part of a team of experts who collaborates closely with academia and industry to push the boundaries of what's possible in target and biomarker discovery. Our dynamic and innovative environment fosters creativity and collaboration, making it an exciting place to work and grow.

In this role, you will report directly to the Head of the Department for Biological Knowledge Representation and join a growing team of four professionals.
You will collaborate cross-functionally with larger teams, developing computational methods to support areas such as computational biology, human genetics, computational drug design, and precision health, helping to advance their work.

Working at Novo Nordisk 
Novo Nordisk is its people. We know that life is anything but linear and balancing what is important at different stages of our career is never easy. That’s why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk is working toward something bigger than ourselves, and it’s a collective effort. Together, we go further. Together, we’re life changing.

What We Offer

  • Bonus: We do our best work to succeed together. When goals are reached, you’ll be rewarded through our bonus scheme.
  • Your workplace: Our offices will be your primary workplace but with flexibility to work 2-3 days at home during your working week.
  • Pension: a market leading pension scheme with generous employer contributions
  • Wellness: We want you to be your best self, so you’ll have access to an award winning Wellness programme, including Private Medical Insurance.
  • Insurances: All colleagues are covered by our private medical, life and disability insurance which provides protection and peace of mind.
  • Inclusive culture: our culture is one of care, support and respect for our people.  We are committed to making your workplace safe and believe that a transparent, inclusive culture and leadership is the way to empower every individual to do their very best.

Application support 
We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants.  If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to Ola, akrw@novonordisk.com . Please include your name, the role you are interested in and the type of adjustment you need.

Deadline 

Please apply before 2nd November 2024

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.

 

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

 

APPLY HERE: Senior Machine Learning Scientist

 

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