Staff AI/ML Engineer - Controllable Biology

GlaxoSmithKline; Waltham (MA); Hybrid; USD 200,000 - 334,000; Full time

Benefits offered by this job

Annual bonus

Health care

Retirement benefits

Paid holidays

Job summary

GSK is seeking a Staff AI/ML Engineer - Controllable Biology in the Boston area. The role applies ML/AI to biological data and networks to transform drug discovery, requiring leadership, robust ML skills, and collaboration across teams. Hybrid work with on-site 2 days/week.

The candidate should have a strong track record in deep learning, Python/PyTorch, and experience with biological datasets, contributing to high-impact projects at GSK.

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, ML best practices, scalable training and deployment.
• 7+ years' experience in software development, including code reviews, version control systems, CI/CD pipelines, software testing and Agile delivery.
• 5+ years' experience in a technical leader/engineering manager role with direct reports.
• 7+ years' experience with Python and PyTorch, or an equivalent ML framework.
• Experience working with biological sequence and network data (genomics, transcriptomics, proteomics).
• Experience collaborating with stakeholders across multiple teams, functions and regions.

Responsibilities

• Convert complex biological questions into tractable mathematical problems that can be solved by modern computational methods.
• Decompose large problems into quarterly, measurable results and deliver through engineering sprints.
• Mentor a multidisciplinary engineering team and guide delivery while fostering an inclusive culture.
• Demo early and often, balancing research and engineering velocity.
• Uphold ML/ software engineering best practices within the organization.
• Define technical strategy and roadmaps for AI/ML products balancing scientific needs and reliability.
• Communicate transparently to leadership and the organization.
• Partner with stakeholders to ensure models are explainable and relevant.

Skills

Python

PyTorch

Deep learning

Software development

Team leadership

Biological sequence data

Genomics

Education

Master's degree in CS/math/natural sciences

Tools

CI/CD

Git

Job description

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: from sourcing training data, designing and implementing SOTA machine learning models, and benchmarking, 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 mathematical problems that can be solved by modern computational methods .

• Be adept a t decomp o sing large problems in to quarterly , measurable results and consistent ly 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 organi s ation .

• 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 organi s ation .

• Partner with stakeholders to ensure models are explainable, safe, and relevant.

Basic Qualifications:

• Master ' s d egree in a related field ( e.g. computer science, mathematics or natural science s ) .

• 7 + years ' experience with standard deep learning algorithms, model architectures, machine learning best practices, scalable training and deployment.

• 7 + years ' experience in s oftware development, including code reviews, version control systems, CI/CD pipelines, software testing, technical documentation and Agile delivery methodologies.

• 5 + years ' experience in a technical leador engineering manager role with direct reports, mentoring software engineers or machine learning practitioners.

• 7 + years ' e xperience 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 - l evel machine learning and robust software solutions .

• Peer-reviewed publications in major AI conferences.

#GSK-LI

Work Arrangements:

The role is h ybrid , requiring on-site work 2 days per week. Remote or fully home-working arrangements are not available for this role.

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 jahrliche Brutto - Grundgehaltsrahmen fur Neueinstellungen in dieser Position ist oben fur jeden relevanten Standort ausgewiesen. Diese Gehaltsspannen berucksichtigen eine Reihe von Faktoren basierend auf den Fahigkeiten, der Berufserfahrung, der Ausbildung und Qualifikation der Kandidat*innen sowie der marktublichen Vergutung fur diese Rolle. Zusatzlich kann diese Position u.a. einen jahrlichen Bonus, Urlaubsgeld, eine betriebliche Altersvorsorge sowie die Berechtigung zur Teilnahme an unserem aktienbasierten Long-Term Incentive-Programm beinhalten; dies ist abhangig von der Rolle. Detailliertere Informationen zum gesamten Vergutungspaket werden wahrend des Rekrutierungsprozesses bereitgestellt. Wenn eine Position an mehreren Standorten bzw. in mehreren Landern ausgeubt werden kann, werden die entsprechenden Gehaltsspannen fur diese Lander/Standorte angezeigt. Zusatzlich konnen weitere Gehaltsspannen eingeblendet werden, wenn fur bestimmte Markte gesetzliche Vorgaben zur Entgelttransparenz gelten und diese Standorte als mogliche Einsatzorte fur die Rolle in Betracht kommen. Wenn fur einen bestimmten Standort oder ein bestimmtes Land in der Stellenausschreibung keine Gehaltsspannen angegeben sind, wird die entsprechende Vergutung im Rahmen des Rekrutierungsprozesses individuell besprochen. Bitte beachten Sie, dass die Gehalter je nach Land auf Grundlage der Fahigkeiten, Berufserfahrung, der Ausbildung und der Qualifikation der Kandidat*innen sowie der marktublichen Vergutung fur diese Rolle variieren. Angebote erfolgen in der Regel innerhalb der veroffentlichten Spanne unter Berucksichtigung der oben genannten Kriterien, wobei das obere Ende der Spanne im Allgemeinen sehr erfahrenen Kandidat*innen oder anderen auergewohnlichen Konstellationen vorbehalten ist.

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: from sourcing training data, designing and implementing SOTA machine learning models, and benchmarking, 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 mathematical problems that can be solved by modern computational methods .

• Be adept a t decomp o sing large problems in to quarterly , measurable results and consistent ly 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 organi s ation .

• 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 organi s ation .

• Partner with stakeholders to ensure models are explainable, safe, and relevant.

Basic Qualifications:

• Master ' s d egree in a related field ( e.g. computer science, mathematics or natural science s ) .

• 7 + years ' experience with standard deep learning algorithms, model architectures, machine learning best practices, scalable training and deployment.

• 7 + years ' experience in s oftware development, including code reviews, version control systems, CI/CD pipelines, software testing, technical documentation and Agile delivery methodologies.

• 5 + years ' experience in a technical leador engineering manager role with direct reports, mentoring software engineers or machine learning practitioners.

• 7 + years ' e xperience 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 - l evel machine learning and robust software solutions .

• Peer-reviewed publications in major AI conferences.

#GSK-LI

Work Arrangements:

The role is h ybrid , requiring on-site work 2 days per week. Remote or fully home-working arrangements are not available for this role.

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 jahrliche Brutto - Grundgehaltsrahmen fur Neueinstellungen in dieser Position ist oben fur jeden relevanten Standort ausgewiesen. Diese Gehaltsspannen berucksichtigen eine Reihe von Faktoren basierend auf den Fahigkeiten, der Berufserfahrung, der Ausbildung und Qualifikation der Kandidat*innen sowie der marktublichen Vergutung fur diese Rolle. Zusatzlich kann diese Position u.a. einen jahrlichen Bonus, Urlaubsgeld, eine betriebliche Altersvorsorge sowie die Berechtigung zur Teilnahme an unserem aktienbasierten Long-Term Incentive-Programm beinhalten; dies ist abhangig von der Rolle. Detailliertere Informationen zum gesamten Vergutungspaket werden wahrend des Rekrutierungsprozesses bereitgestellt. Wenn eine Position an mehreren Standorten bzw. in mehreren Landern ausgeubt werden kann, werden die entsprechenden Gehaltsspannen fur diese Lander/Standorte angezeigt. Zusatzlich konnen weitere Gehaltsspannen eingeblendet werden, wenn fur bestimmte Markte gesetzliche Vorgaben zur Entgelttransparenz gelten und diese Standorte als mogliche Einsatzorte fur die Rolle in Betracht kommen. Wenn fur einen bestimmten Standort oder ein bestimmtes Land in der Stellenausschreibung keine Gehaltsspannen angegeben sind, wird die entsprechende Vergutung im Rahmen des Rekrutierungsprozesses individuell besprochen. Bitte beachten Sie, dass die Gehalter je nach Land auf Grundlage der Fahigkeiten, Berufserfahrung, der Ausbildung und der Qualifikation der Kandidat*innen sowie der marktublichen Vergutung fur diese Rolle variieren. Angebote erfolgen in der Regel innerhalb der veroffentlichten Spanne unter Berucksichtigung der oben genannten Kriterien, wobei das obere Ende der Spanne im Allgemeinen sehr erfahrenen Kandidat*innen oder anderen auergewohnlichen 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.

contact us at [e-mail] where you can also request a call.

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