Overview
GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer.
We are on an audacious journey to impact the health of 2.5 billion people over the next decade.
Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines.
We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data.
By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases.
Join us in our commitment to uniting science, technology, and talent to get ahead of disease together.
Role Overview
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects.
It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI.
We’re looking for a highly skilled data engineer to help us make this vision a reality.
Strong candidates will have a track record of building ML models and pipelines using high dimensional real-world data, and being responsible for modeling and data choices made throughout the process.
We have a commitment to quality, so successful candidates will be able to deploy their models into production with a view towards driving reliable clinical decision making.
This role requires a passion for solving challenging problems aligned to exciting Artificial Intelligence and Machine Learning applications.
Key Responsibilities
- Build feature extraction, classification, and regression models for predicting biologically relevant phenomena from in-house data.
- Work with leadership, product, and R&D scientists to define success criteria for models and develop metrics that track those criteria.
- Choose, design and implement statistical and machine learning methods to drive business-critical metrics.
- Deploy models into production in a cloud environment following best practices.
- Responsible for high quality software implementations according to best practices, including automated test suites and documentation.
- Participate in code reviews, continuously improving personal standards as well as the wider team and product.
Minimum Qualifications
- 2+ years of Machine Learning Engineering or Data Scientist experience with a Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience.
- Experience building ML models for high-dimensional data.
- Strong background in using quantitative methods for measuring real-world problems.
- Strong skills with industry experience in Python, including unit testing (e.g. pytest).
- Knowledge of agile practices and able to perform in agile software development environments.
- Experience with modern software development tools / ways of working (e.g git/GitHub, CICD, cloud deployment).
Preferred Qualifications
- Demonstrated experience with biological or scientific data (e.g. histology imaging, transcriptomics, clinical records), or pharmaceutical industry experience.
- Bioinformatics expertise, especially for imaging data.
- Experience with agentic workflows, including skills and rubrics.
- Experience with Docker or containerized applications.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive.
We prevent and treat disease with vaccines, specialty and general medicines.
We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people.
Inclusion at GSK
GSK is an Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Important notice to employment businesses/agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site.
All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.