Machine Learning Scientist, Predictive Biology & AI Full-time NEW

Scientist In Machine Learning

The Predictive Biology & AI team at CITRE (Seville, Spain) is looking for a Scientist in Machine Learning to bring both conceptual expertise and practical problem-solving to our mission. This role combines technical excellence with independence and leadership potential: you will design solutions to challenging problems, guide projects with manageable risks, and share best practices that strengthen both your team and the wider organization.

CITRE is BMS's European hub for computational innovation, where AI is applied across the drug discovery continuum. Here, your work will move beyond theory into real-world applications that inform strategy and decision-making.

In particular, the team is tackling pressing questions in biomedical research, such as:

• How can we build and apply foundation models in oncology and neuroscience to capture the complexity of disease biology and accelerate drug discovery?
• How can multi-modal AI methods integrate omics, imaging, and clinical data to uncover novel disease mechanisms and therapeutic opportunities?
• How can predictive biology approaches help anticipate patient responses and support precision medicine strategies?

Your contributions will directly shape how we address these questions, helping transform emerging machine learning technologies into tangible scientific and clinical impact.

What You Will Do

• Shape research and practice by applying your expertise in machine learning to biomedical data, providing insights and best practices that address scientific and business challenges.
• Work independently on projects that require collaboration with external partners, contributing to decision-making with minimal managerial oversight.
• Lead and deliver projects with clear goals, manageable risks, and appropriate use of resources, ensuring high-quality results.
• Be a resource for colleagues, sharing knowledge, mentoring less experienced team members, and helping to build team capacity.
• Solve problems creatively — not only applying existing methods but also exercising judgment to adapt and develop new approaches.
• Contribute to decisions whose impact extends across your team, related teams, and external collaborators, ensuring alignment with BMS's broader objectives.

What You Bring

• Ph.D. in Machine Learning, Bioinformatics, Computer Science, Statistics, Applied Mathematics, Physics, Electrical Engineering, or a related field.
• Applied experience with both established and modern ML methods.
• Evidence of impactful projects or publications.
• Proficiency in Python and its scientific ecosystem (Pandas, NumPy, SciPy, scikit-learn).
• Experience with at least one deep learning framework (PyTorch, TensorFlow, or JAX).
• Ability to communicate results clearly in English, both in writing and speaking.
• Curiosity for biology and motivation to apply computational skills to healthcare challenges.

Desirable Extras

• Experience with ML applied to digital pathology or radiology (2D and/or 3D).
• Postdoctoral or equivalent experience in academia or industry (1+ years).
• Familiarity with transformer-based models and self-supervised learning.
• Previous work in pharma, biotech, or healthcare research.
• Experience with multi-modal biological datasets (omics, imaging, time-series).
• Comfort with HPC clusters (e.g., SLURM) and software tools like Docker and Git.

Bristol-Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to gender identity, race, color, religion, sexual orientation, national origin or disability.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely interesting work, life-changing careers. With a single vision as inspiring as “Transforming patients' lives through science™”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues.

On-site protocol: BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based, and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive company culture. For field-based and remote-by-design roles, the ability to physically travel to visit customers, patients, or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments, and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

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