Senior Scientist Applied Machine Learning

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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 BMSs 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 countconnecting 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 dataomics imaging (including MRI and other neuroimaging modalities) clinical signals and textinto 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 doesnt 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.

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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

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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.

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