Machine Learning Engineering Lead, GSK
£76.8-104k
+ Annual bonus based on company performance
2-5 days a week in office
Building a cutting-edge digital and tech team.
Open for applications
Building a cutting-edge digital and tech team.
1001+ employees
Open for applications
£76.8-104k
+ Annual bonus based on company performance
2-5 days a week in office
1001+ employees
Company mission
At GSK, we use technology to deliver what matters most, better and faster. Whether it’s life-saving medicines or life-enhancing products, Tech at GSK helps scale and accelerate our expertise. We believe that the powerful combination of data and technology holds the key to fundamentally transforming medical discovery for the better, improving R&D success rates and shaping how even the most challenging diseases can be both prevented and treated.
Role
Who you are
- The candidate should be comfortable being accountable for setting the direction, standards and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering and biology
- Equally important will be excellent communication, interpersonal and organisational skills, and the ability to represent and transmit the values and principles of our organisation
- Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive
- Track record as an independent contributor capable of end-to-end development of ML-powered products for biological or pharmaceutical applications
- Advanced Python programming skills and a track record of delivering robust software solutions
- 3+ years experience in a technical lead or engineering manager role with direct reports
- 5+ years experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices
- Proficiency with standard deep learning algorithms and model architectures, including sequence or graph based methods
- In depth knowledge in machine learning best practices, scalable training and deployment
Desirable
- PhD in Machine Learning or Computer Science
- Experience working with large ML-powered systems in a production setting
- Knowledge in molecular biology, disease biology and/or biochemistry
- Peer reviewed publications in major AI conferences
What the job involves
- The AI/ML RNA Therapeutics team applies machine learning and AI methods to fundamental problems in RNA biology and biochemistry domain in order to accelerate the discovery and development of novel RNA therapeutics
- We are looking for a Lead of ML Engineering – RNA Therapeutics. This is a technical management track role with responsibility for direct reports
- Lead a machine learning engineering team specialising in fundamental problems in RNA biology and chemistry
- Manage complex, multi-quarter, cross-functional projects
- Be a standard bearer for data science and software engineering best practices within the organisation
- Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery
- Maintain a safe and inclusive team environment in which people thrive
- Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization
- Develop a high-performing team through coaching, feedback and ensuring opportunities for growth
Application process
- Closing Date for Applications: Wednesday 19th June 2024 (COB)
Salary benchmarks
Our take
GSK Tech is set to build a suite of next-generation platforms for data- and prediction-driven drug discovery in support of GSK's Research and AI/ML organizations, and an industry-leading data engineering function in support of AI/ML and Genomic Sciences.
GSK’s ambitions go far past the data lake: they’re building a comprehensive data and machine learning ecosystem that can speak to the customers in their own scientific and technical language and semantics. Enabled by GSK Knowledge Graph, powered by machine learning, and underpinned by natural language processing, GSK's vision is for accessibility to data (and, importantly, the knowledge it represents). GSK wants to increase this tenfold, taking mere moments to find, access, and integrate the right information.
The creation of GSK Tech shows GSK's commitment to making a major investment in changing how we think about data in the research space, and levelling up the data experience for GSK's researchers, scientists, computational scientists, AI/ML Engineers, and ultimately decision-makers. As of 2024, GSK is putting more energy into its Cyber Security features, thus widening its market reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
45% female employees
6% employee growth in 12 months
Company
Employee endorsements
Challenging work
"I've been working for RnD for more than 2 years, yet before Onyx was created. Every single project I have worked on was a challenge because..."
Company benefits
- An annual bonus based on company performance
- Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support
- Employee recognition programmes which reward exceptional achievements
- Long term incentives through share ownership link your rewards to our longer term performance
- Coaching, mentoring and formal training programmes
- Plenty of opportunities for open conversations with people who can help to shape your career
- A range of health and wellbeing programmes and support services to help employees understand how to feel healthier, happier and more energised at work and at home
Company values
- Uniting science, technology and talent to get ahead of disease
- A place where outstanding people thrive
- Ambitious for patients
- Accountable for impact
- Doing the right thing
Company HQ
Brentford, UK
Articles
Leadership
Emma Walmsley
(CEO)Prior to being named CEO, worked in various senior roles at GSK. Before that, served in various senior management and marketing roles for nearly two decades with L'Oréal. Currently also serves as an independent director on the board of Microsoft.
Shobie Ramakrishnan
(Chief Digital and Technology Officer)Has a broad experience in biotech and hi-tech companies. Has led Digital and Technology for GSK’s Global Commercial organization, transforming the company’s capabilities in digital, data & analytics.
Nick Peterson
(VP Onyx Research Data Platform)An engineering leader accountable for the cross-cutting technological needs of the AI/ML, Data Science, and Data Engineering organization in R&D. Joined GSK in 2019 from Electronic Arts.
Michael Elmore
(SVP & Global Chief Information Security Officer)Experienced in building and leading tech teams across cyber security, IT infrastructure, application development, and more. A trusted advisor to VCs and startups focusing on cybersecurity advancements.
Shubha Chaudhari
(SVP, Development Digital & Tech)Previously worked at Novartis in several roles, including Head of Clinical Informatics, Global Head of Development Informatics, and Head of Digital Transformation.
Diversity, Equity & Inclusion at GSK
- We want GSK to be a diverse, inclusive organisation that attracts and retains outstanding talent because this brings greater opportunity to create better health outcomes for patients around the world who rely on our medicines and vaccines.
- We’re working hard to become a more inclusive company in the way we do business, both through our clinical trials and the external companies we choose to work with. Internally, we want GSK to be a workplace where everyone can feel a sense of belonging and thrive.
- We’ve made good progress – delivering new inclusion training on an annual basis including how to recognise and take action on discriminatory behaviours, launching a development programme for ethnically diverse employees, and reviewing our recruitment and selection processes.
- We focus on four areas of diversity: ethnicity, disability, gender, and sexual orientation. Each has its own Council, where leaders, employees, and employee resource groups (ERGs) come together with the goal of creating inclusivity for all.
- GSK is a company where everyone can be themselves, and where diversity is embraced and celebrated. We each hold ourselves accountable for ensuring that respect and inclusivity are at the very heart of our culture as a company.
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