- Salary
- $200k – $334k
- Location
- Heidelberg, Germany · San Francisco · USA - Massachusetts - Waltham · London The Stanley Building
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- PhD
- Source
- Workday
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 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. 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 of control of 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 in developing SOTA deep learning models for solving challenging real world scientific problems. You should be an outstanding scientist with in-depth knowledge in modern machine learning. You can convert vaguely described biological/drug discovery challenges into well-defined machine learning problems. You can independently execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmarking and product driven research for model performance improvement, to 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 mathematics 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 organization.
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).
5+ years’ experience with standard deep learning algorithms, model architectures, machine learning best practices, scalable training and deployment.
5+ years’ experience in software development, including code reviews, version control systems, CI/CD pipelines, software testing, technical documentation and Agile delivery methodologies.
3+ years' experience in a technical lead or engineering manager role with direct reports, mentoring software engineers or machine learning practitioners.
5+ years’ experience with Python and PyTorch, or equivalent machine learning frameworks.
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
If this role speaks to your skills and ambitions, please submit your CV and a brief note about your relevant work. We look forward to hearing about how you would help us advance sequence learning in research.
Skills
Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive 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 $200,475 to $334,125. 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 109,500 to EUR 182,500The 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 vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.Der jährliche Brutto - Grundgehaltsrahmen für Neueinstellungen in dieser Position ist oben für jeden relevanten Standort ausgewiesen. Diese Gehaltsspannen berücksichtigen eine Reihe von Faktoren, basierend auf den Fähigkeiten, der Berufserfahrung, der Ausbildung und Qualifikation der Kandidat*innen sowie der marktüblichen Vergütung für diese Rolle. Zusätzlich kann diese Position u.a. einen jährlichen Bonus, Urlaubsgeld, eine betriebliche Altersvorsorge sowie die Berechtigung zur Teilnahme an unserem aktienbasierten Long-Term Incentive-Programm beinhalten; dies ist abhängig von der Rolle. Detailliertere Informationen zum gesamten Vergütungspaket werden während des Rekrutierungsprozesses bereitgestellt. Wenn eine Position an mehreren Standorten bzw. in mehreren Ländern ausgeübt werden kann, werden die entsprechenden Gehaltsspannen für diese Länder/Standorte angezeigt. Zusätzlich können weitere Gehaltsspannen eingeblendet werden, wenn für bestimmte Märkte gesetzliche Vorgaben zur Entgelttransparenz gelten und diese Standorte als mögliche Einsatzorte für die Rolle in Betracht kommen. Wenn für einen bestimmten Standort oder ein bestimmtes Land in der Stellenausschreibung keine Gehaltsspannen angegeben sind, wird die entsprechende Vergütung im Rahmen des Rekrutierungsprozesses individuell besprochen. Bitte beachten Sie, dass die Gehälter je nach Land auf Grundlage der Fähigkeiten, Berufserfahrung, der Ausbildung und der Qualifikation der Kandidat*innen sowie der marktüblichen Vergütung für diese Rolle variieren. Angebote erfolgen in der Regel innerhalb der veröffentlichten Spanne unter Berücksichtigung der oben genannten Kriterien, wobei das obere Ende der Spanne im Allgemeinen sehr erfahrenen Kandidat*innen oder anderen außergewöhnlichen Konstellationen vorbehalten ist.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [email protected] where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to ethnicity, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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