Senior Scientist Applied Machine Learning Full-time

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.

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

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.