Senior Scientist, AI/ML in Computational Biology Full-time

Senior Scientist, AI/ML in Computational Biology

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.

Within the Predictive Biology and AI team at CITRE (Seville, Spain), we seek enthusiastic candidates for a scientist/senior scientist position with a demonstrated research background applying machine learning in biology, a track record of independent research, experience in creatively solving technical problems, and a proven ability to implement predictive models based on the latest published research. The position is based in Seville Spain, and although flexible working arrangements are in place (50% work in-office), fully remote working options are not offered currently.

CITRE is Bristol Myers Squibb's research institute in Europe, and our link to the European research community. Informatics & Predictive Sciences at CITRE performs innovative computational research to inform decisions across all stages of drug development. Areas of research include computational and network biology, machine/deep learning, cheminformatics, predictive modeling, patient stratification, and method development for analysis and interpretation of biological data.

The candidate will work as part of a multidisciplinary team focused on bringing the latest ML/AI methods to tackle impactful biological questions.

She/he will be able to perform pioneering and impactful research alongside very collaborative computational and experimental scientists, with expertise in ML, structural biology, chemistry, cell and gene therapy. We encourage inquiries from those with a background in AI/ML who also have an interest in innovation and interdisciplinary application of computational approaches to life sciences data.

The Role

• Participate in our growing effort to apply cutting-edge AI/ML techniques towards the development of novel therapies to treat neurologic disease, cancer, and hematological malignancies.
• Collaborate across teams to solve complex problems at the intersection of computation and experimental biology.
• Analyze and develop methods for use with spatial and other 'omics data (Spatial transcriptomics, single-cell RNA-seq, ATAC-seq, etc.)
• Refine ML models and workflows and perform exploratory data analysis on large datasets.
• Formulate translational and discovery questions as ML problems and interpret model outputs in biologically meaningful ways to generate hypotheses that guide experimental biology.
• Creatively propose hypotheses and test them rigorously.
• Author scientific reports, and present methods, results, and conclusions to publishable standard.

Minimal Qualifications

• Ph.D. in Machine learning, Bioinformatics, Computational Biology, or related technical field
• Experience in applying contemporary machine learning methods to biological problems
• Publication record in relevant conferences or journals
• Experience with 'omics data including single-cell and spatial transcriptomics
• Experience integrating multimodal datasets, including genomics, transcriptomics, and imaging data, using machine learning approaches.
• Expertise in scientific programming languages (e.g., Python, R) and libraries (Pandas, Numpy, Scipy, Scikit-learn, …) and their application to mine large datasets
• Verbal and written English language fluency are a prerequisite.
• Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts.

Nice to have

• 2+ years of postdoctoral experience in relevant fields
• Experience with one ML framework among Scikit Learn, PyTorch, or TensorFlow.
• Experience with ML applied to bioimaging, bioinformatics problems, including single cell and spatial omics is a strong plus
• Experience analyzing clinical trial-derived data and/or images to address translational research questions, or applying omics data analysis on public data for target discovery and prioritization.
• Experience developing/applying deep learning based approaches.
• Prior research projects in pharma/biotech, university, or hospital environments.
• Experience managing multi-modal data (omics, imaging and time-series signals).
• Previous experience using cloud-based computing and software engineering frameworks (e.g. Docker, 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.