Staff AI/ML Engineer - Sequence Learning

About this role

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 Position Summary As the Staff AI/ML Engineer - Sequence Learning you will design, build and deploy sequence learning models that help researchers answer important biological questions. You will work closely with scientists, engineers and product teams across locations.

We value curiosity, technical depth, clear communication and a collaborative mindset. This role offers strong growth, visible impact on research, and the chance to unite science, technology and talent to get ahead of disease together. This role will provide YOU the opportunity to lead key activities to progress YOUR career.

These responsibilities include some of the following: Research, design and implement sequence-based machine learning models for biological data. Build and maintain reproducible training and evaluation pipelines for model development. Collaborate with experimental and domain experts to shape problem definitions and data collection.

Deliver production-quality code, containerized services and model monitoring workflows. Mentor peers and share best practices for model validation, robustness and reproducibility. Contribute to cross-team initiatives that scale sequence learning capabilities across research.

Why You? Work arrangement: This role follows a hybrid working model based in Germany. You will be expected to be on-site part of the working week.

Fully remote arrangements are not available. Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals Master’s degree or higher in computer science, computational biology, bioinformatics, engineering, mathematics or related field; or equivalent practical experience. At least 5 years of hands-on experience in machine learning or deep learning engineering.

Demonstrable experience developing models for sequence data (for example genomics, proteins, or other biological sequences). Strong programming skills in Python and practical experience with at least one deep learning framework (PyTorch or TensorFlow). Experience delivering production-ready ML systems, including version control, testing, containerization and CI/CD.

Fluent English communication skills. German language skills are a plus but not required. Preferred Qualification If you have the following characteristics, it would be a plus PhD in a quantitative field or computational life sciences.

Experience with large-scale training on HPC or cloud platforms and familiarity with distributed training. Background working with multimodal biological data (omics, imaging, clinical records). Demonstrated knowledge of model validation, uncertainty quantification and evaluation best practices.

Contributions to open-source projects or peer-reviewed publications in ML or computational biology. Experience working in hybrid, cross-functional and international teams. What success looks like Clear, well-tested sequence models that support research decisions.

Reusable, documented ML pipelines and reproducible experiments. Strong working relationships with scientific and engineering partners. Practical improvements in model robustness, explainability and deployment speed.

Our approach to inclusion We welcome people of all backgrounds and perspectives. We work to create a supportive environment where everyone can contribute and grow. If you are excited by the work but do not meet every listed requirement, we still encourage you to apply.

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 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 DE.Contact-Recruitment@gsk.com 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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