Principal Scientist, Machine Learning
3 days ago
We are seeking a highly skilled and experienced Principal Scientist, Machine Learning to join our team at Bristol-Myers Squibb. As a key member of our Informatics and Predictive Sciences (IPS) organization, you will play a critical role in driving transformative insights for patient benefit.
Key Responsibilities- Develop large multimodal foundation models integrating structured and unstructured data for cell engineering and target discovery applications
- Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery
- Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery
- Collaborate with cross-functional teams to design perturbation experiments and recommend novel drug targets and engage with broad discovery teams to translate computational insights into therapeutic concepts
- Participate in authorship of scientific reports in static and interactive formats, and present methods and conclusions to publishable standards
- Bachelor's degree with 8+ years of academic/industry experience
- Or Master's degree with 6+ years of academic/industry experience
- Or PhD with 4+ years of academic/industry experience
- PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record
- Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings
- Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies
- Expertise in Python, PyTorch, and open-source data processing and visualization packages, collaborative development skills using readable, reproducible, efficient code and version control systems (e.g. Git), familiarity with Unix shell and use of virtualized working environments (e.g. Docker)
- Demonstrated experience working with cloud computing services (e.g. AWS) and job schedulers (e.g. Slurm)
- Proven problem-solving skills, collaborative nature and flexibility across multiple research domains
- Ability to work independently and as a member of a global analytical research team in a fast-paced environment
- Familiarity with cell biology, immunology, oncology, or biologics a plus
- Fluent verbal and written English language skills
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.
We are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
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