Senior Scientist Applied Machine Learning

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Why this role?

The Predictive Biology & AI team at CITRE (Seville, Spain) is looking for a Scientist / Senior Scientist in Machine Learning to help push the boundaries of how AI can transform biomedical research.

This is a role for someone who enjoys both depth and impact: developing and training advanced models, exploring new scientific questions, and translating ideas into applications that matter. Depending on your experience, you will either drive or take ownership of key research directions, while contributing to a collaborative and fast-evolving environment.

CITRE is BMS’s European center for computational innovation, where AI is embedded across the drug discovery pipeline. The focus here is not just on building models, but on making them count—connecting cutting-edge machine learning with real scientific and clinical decisions.

Some of the questions we are actively working on include:

• How can foundation models be designed to capture the complexity of diseases such as cancer and neurodegeneration?

• How do we combine multimodal data—omics, imaging (including MRI and other neuroimaging modalities), clinical signals, and text—into unified representations of biology?

• How can predictive approaches anticipate patient response and support more precise, data-driven therapies?

You will contribute directly to these efforts, helping turn emerging AI capabilities into practical tools for drug discovery and development.

What you will do

• Build and apply advanced machine learning models, with a focus on multimodal and foundation model approaches spanning transcriptomics, genomics, imaging (with particular emphasis on MRI and neuroimaging), and biomedical text

• Train and evaluate modern deep learning architectures (e.g., Transformers, VAEs, ViTs, GNNs), including self-supervised and generative methods

• Develop models that support key drug discovery tasks such as target identification, biomarker discovery, and patient stratification

• Work with large-scale biological and imaging datasets, including structural and functional MRI

• Create scalable and reproducible ML pipelines on cloud and/or HPC environments

• Collaborate closely with computational and experimental scientists; contribute to or lead projects depending on your experience

• Exchange ideas and best practices with teammates to collectively raise the quality of the work

• Communicate insights clearly, ensuring your work informs both scientific understanding and strategic decisions

What you bring

• Ph.D. in Machine Learning, Bioinformatics, Computer Science, Statistics, Applied Mathematics, Physics, Electrical Engineering, or a related field

• Strong hands-on experience with modern machine learning and deep learning methods; exposure to foundation models or multimodal learning is a plus

• Proficiency in Python and experience with PyTorch and the broader scientific Python ecosystem

• Experience with cloud platforms (AWS, Azure, GCP) and/or HPC systems (e.g., SLURM)

• Familiarity with Docker, Git, and reproducible research practices

• Experience working with complex, large-scale datasets; background in biological, clinical, or imaging data is advantageous

• Evidence of impactful work (publications, projects, or applied contributions), appropriate to your career stage

• Ability to work independently while thriving in collaborative, multidisciplinary settings

• Clear and effective communication skills in English

• Genuine interest in applying AI to biomedical and healthcare challenges

Desirable extras

• Familiarity with MRI and neuroimaging data (e.g., structural MRI, fMRI, diffusion imaging)

• Experience with foundation model training strategies (masked, contrastive, autoregressive) and multimodal architectures

• Experience with LLMs and related tools (e.g., HuggingFace, PyTorch Lightning, weights & biases)

• Background in neuroscience and/or oncology

• Previous experience in pharma, biotech, or healthcare research

• Experience integrating multimodal datasets (omics, imaging, clinical, time-series)

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.

Supporting People with Disabilities

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.

Candidate Rights

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

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

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R1602311 : Senior Scientist Applied Machine Learning