Staff AI/ML Engineer - Controllable Biology

Job description

Business Introduction At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Job Title: Staff AI/ML Engineer - Controllable Biology At GSK, we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies for existing diseases and respond quickly to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost and 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. If that excites you, we’d love to chat. Job Purpose: The AI/ML Controllable Biology Team applies machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell experiments. Models that control biological networks have the potential to be transformative in drug discovery, empowering us to find new life-saving medicines. We are looking for a Staff AI/ML Engineer – Controllable Biology. Competitive candidates will have a track record of developing SOTA deep learning models to solve challenging real-world scientific problems. You should be an outstanding scientist with in-depth knowledge of modern machine learning. You can convert vaguely described biological and drug discovery challenges into well-defined machine learning problems. You can independently execute and deliver full AI/ML-driven solutions end to end: sourcing training data, designing and implementing SOTA machine learning models, defining metrics and benchmarks, and shipping stable, tested, performant code and services in an agile environment. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Key Responsibilities: As a Staff AI/ML Engineer - Controllable Biology you will: Convert complex biological questions into tractable mathematical problems that can be solved by modern computational methods. Be adept at decomposing large problems into quarterly, measurable results and consistently working towards delivering these through engineering sprints. Be a technical mentor in a multidisciplinary engineering team, including delegating tasks to junior colleagues and guiding them through delivery, while fostering an inclusive, supportive team culture. Be comfortable demoing early and often, balancing research and engineering velocity. Be a standard-bearer for machine learning, software engineering, code review and agentic development best practices within the organisation. Define technical strategy and roadmaps for AI/ML products, balancing scientific needs, safety, and operational reliability. Operate in a transparent way, communicating clearly and accurately to leadership and the broader organisation. Partner with stakeholders to ensure models are explainable, safe, and relevant. Basic Qualifications: Master’s degree in a related field (e.g. computer science, mathematics or natural sciences). 7+ years’ experience with standard deep learning algorithms, model architectures, machine learning best practices, scalable training and deployment. 7+ years’ experience in software development, including code reviews, version control systems, CI/CD pipelines, software testing, technical documentation and Agile delivery methodologies. 5+ years’ experience in a technical lead or engineering manager role with direct reports, mentoring software engineers or machine learning practitioners. 7+ years’ experience with Python and PyTorch, or an equivalent machine learning framework. Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets. Experience collaborating with stakeholders across multiple teams, functions and geographic regions. Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in a quantitative or computational field. Background in modelling disease biology, systems biology, molecular biology and biochemistry. Track record of delivering high-quality, research-level machine learning and robust software solutions. Peer-reviewed publications in major AI conferences. #GSK-LI Work Arrangements: The role is hybrid, requiring on-site work 2 days per week. Remote or fully home-working arrangements are not available for this role. How to apply Please submit your CV and a short cover letter explaining how your experience maps to the role and what you hope to learn. We welcome applicants from a range of backgrounds and career stages. If you need an adjustment during the application process, tell us and we will support you. We look forward to hearing from you. Skills Artificial Intelligence (AI), Artificial Intelligence Ethics, Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. • If you are based in another US location, the annual base salary range is $123,750 to $206,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.Germany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,700 to EUR 124,500The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries v