AI / ML Engineer - Phenomics

hackajob is collaborating with GSK to connect them with exceptional tech professionals for this role.

Job description

Site Name : USA - California - San Francisco, Cambridge MA, London The Stanley Building, UK - Hertfordshire - Stevenage, USA - Pennsylvania - Upper Providence

Posted Date : Oct 16 2025

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. If that excites you, we'd love to chat.

To help us make this future a reality, we are looking for AI / ML Engineers with a track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems. AI / ML Engineers at GSK are outstanding scientists and engineers with in-depth knowledge in modern machine learning and a keen interest in making a positive impact in healthcare.

You will be joining the AI / ML Phenomics Team to apply cutting-edge machine learning and AI methodologies to generate insights from multi-modal high-content data modalities. This ranges from spatial transcriptomics of proprietary patient cohorts to high-dimensional imaging and multi-omics readouts of high-throughput genetic and chemical perturbation screens in in vitro cellular systems.

As an AI / ML Engineer in this role, you will :

Carry out product-driven research on novel machine learning methods to analyze terabytes of internal multi-modal high-content data.

Design approaches to deconvolve real biological signals from confounding effects that are inherent in high-throughput biological data.

Leverage internal high performance computing cluster and cloud compute to train and productionize our models at scale.

Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact target identification, hit identification, and safety testing.

Contribute to our developing codebase with well-tested, production-ready code.

Competitive candidates will have in-depth knowledge of machine learning with a track record of developing deep learning models for solving challenging real world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI / ML space and operate in an agile environment.

Why you?

Basic Qualifications :

We are looking for professionals with these required skills :

PhD or master's in computer science, engineering, applied mathematics, machine learning, or equivalent practical experience.

2 + year experiences in cell imaging is required for master degree holder.

2+ years of experience in machine learning and software engineering best practices.

2+ years of experience with working in a collaborative CI / CD software development environment, including use of git.

2+ years of experience with developing, implementing, and training deep learning models with PyTorch, Tensorflow, or other deep learning frameworks.

Preferred Qualifications :

If you have the following characteristics, it would be a plus :

Experience working with high-content imaging and diverse multi-omics

Knowledge in disease biology, molecular biology, and biochemistry.

Track record of writing software in a team in industrial environments or open-source projects.

Track record of projects or peer-reviewed publications at the intersection of machine learning and life sciences

Mentality of commit early and often, metrics before models, and shipping high quality production code.

#LI-GSK

The US annual base salary for new hires in this position ranges from $136,125 to $226,875 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.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, 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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