Senior Data Scientist - Antibody Design

Location

Oxford, Oxfordshire | United Kingdom

Job description

Are you a highly skilled scientist with experience with computational antibody design? Are passionate about using your expertise to solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you have a strong understanding of antibody or nanobody sequence, structure, function, and previous experience of antibody or nanobody discovery and development in an industrial or academic setting? Are you an expert in machine learning and interested in improving the design of novel antibodies? If yes, we have exciting opportunities for you to join our team as an Antibody Design Scientist!

 

About the Department
Our Antibody Design Department is part of the Digital Science and Innovation (DSI) area at Novo Nordisk, located in Måløv (Denmark) and London (UK). We use innovative computational tools and techniques to design novel antibodies and nanobodies. Our team works collaboratively across various departments, within and outside Research and Early Development, to deliver safe and effective antibody therapies to patients. We value a diverse and inclusive culture, where our team members can thrive and grow. Our team consists of passionate, goal-oriented individuals who take pride in their work and are committed to making a difference in patients' lives.

 

The Positions
We are currently seeking talented scientists to join our team in London, UK.
– Antibody Data Scientist
Collect, analyze, and model antibody data using state-of-the-art machine learning and language modeling techniques to drive the design of novel antibodies. Build integrated pipeline to automate the collection and analysis of Antibody data. Work collaboratively with your colleagues to develop machine learning models that can be used to optimize antibody candidates.
The position requires documented expertise in the development of AI and deep learning methods, and development of Antibodies in a pharmaceutical environment. The candidate will use computational tools such as molecular modeling and simulations, sequence and structure analysis, and machine learning tools to design and optimize antibody and nanobody candidates. In addition, you will use your strong interpersonal skills to communicate effectively and collaborate with team members to achieve our goals. 

 

Key Responsibilities
As an Antibody Design Scientist, Nanobody Design Scientist, and Antibody Data Scientist, you will:

• Drive innovative and creative solutions to design novel antibodies or nanobodies in concert with other departments 
• Work collaboratively with team members to achieve project goals
• Identify potential liabilities and developability issues along the antibody discovery pipeline
• Use existing tools or develop novel ones to design and engineer antibody variants with improved functionality 
• Integrate experimental results with computational models to accelerate the antibody discovery process
• Generate and store ML ready data from antibody projects 
• Perform computational analyses and simulation on large data sets using HPC resources
• Document and effectively communicate the discovery and innovation process to key stakeholders and managers 
• Work closely with relevant teams to translate best-performance techniques into production 
• Encourage, propose, and participate in projects boosting the use of advanced computational techniques for antibody design 
• Stay up to date with the latest developments in computational biology and antibody/nanobody design

Qualifications

• Master’s degree required. PhD preferred. Degree within Computational Biology, Bioinformatics, Machine Learning, or a related field
• Master’s degree with 3+ years of experience in clinical or industrial antibody/nanobody development. More experienced scientists are also encouraged to apply.
• Deep understanding of antibody or nanobody sequence, structure, function, and their development in an industrial setting
• Good interpersonal skills: communication, group work, goal-oriented
• Solid experience of relevant computational tools, including but not restricted to Python programming, molecular modeling and simulations (Rosetta, Schrödinger, or similar), sequence analysis, and machine learning frameworks (PyTorch, Azure ML, or similar)
• Experience in usage of HPC solutions (aws, azure, or similar)
• Experience in B-cell Rep-Seq and scRNA-Seq analysis is a plus.

Working at our company  

Our company is committed to creating a work environment where our employees can thrive and achieve their professional goals. We offer a competitive compensation package, including benefits such as health insurance, retirement plans, and paid time off.

We value diversity and inclusion and strive to create a culture that embraces and celebrates our differences. We are dedicated to creating an environment where all employees feel valued and respected.

C ontact 

If you are interested in these exciting opportunities, please apply today! For further information, please contact Paolo Marcatili ([email protected]). We look forward to hearing from you!

 

Deadline 

The deadline for applications is March 29th, 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.

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