Senior Computational Biologist (Remote)
Output BiosciencesFull Time
Expert & Leadership (9+ years)
Candidates must possess a Ph.D. in a quantitative field such as Computational Biology, Statistics, or Computer Science, with at least one year of professional Data Scientist experience post-Ph.D. Proficiency in Python, particularly PyTorch, for deep learning model development in medical image analysis is essential. Deep expertise in Computer Vision, Deep Learning, Transformers, and Self-Supervised Learning is required, along with the ability to stay current with advancements in these fields and medical imaging research. Significant industry experience and a proven track record in leading statistical innovation are necessary, as is experience developing statistical and machine learning models on high-dimensional data, particularly in pharma R&D. Experience applying AI/ML to clinical trial data or electronic health records is also required, along with an interest in clinical trial data interpretation and drug development processes.
The Senior Manager, Data Scientist will develop, implement, and apply state-of-the-art algorithms to address key business problems by working with stakeholders. Responsibilities include developing novel methods for integrating, mining, and visualizing diverse, high-dimensional data sets, and creating end-to-end image analysis pipelines with deep learning models on images. The role involves driving the development and implementation of innovative statistical methods and trial designs, as well as translating digital health analytics using modern data processing and learning capabilities like ML, AI, and deep learning. This includes formulating, implementing, testing, and validating predictive models and automated processes for scalable modeling results. The position requires collaboration with cross-functional teams, including clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals, to understand clinical requirements and translate them into actionable deep learning solutions. The role also involves managing resources to meet timelines for competing priorities, writing high-quality, documented code following best practices like test-driven development, and publishing research papers in top-tier venues.
Develops and delivers biopharmaceutical medicines
Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.