Staff Scientific Program Manager

1 week ago


London, United Kingdom Barrington James Full time

Position Summary As Staff Scientific Program Manager you will lead and manage the R&D scientific programs to make significant impact in drug discovery by developing a Virtual Cell (aka Digital Twin of Cell), that predicts the optimal therapeutical strategy given observations between healthy and disease cell states. This role functions as a critical bridge between high-level strategy and operational execution, working closely with the CTO to translate vision into deliverables. Key Responsibilities Strategic & Technical Leadership: Partner closely with the CTO to translate strategic vision into deliverables Lead and Manage multiple scientific projects, ensuring alignment of the team and delivery timeline Execution & People Management: Oversee projects execution and participate as individual contributor to address blocking points and to develop prototypes. Manage interdisciplinary team collaboration, fostering a culture of innovation and scientific excellence. Manage publications in journals and conferences Participate in hiring Communication & Reporting: Act as the primary liaison, providing regular updates to the CTO on program progress, challenges, and strategic implications. Participate to strategic meeting with the company executive team Qualifications Advanced degree (PhD or equivalent) in Computer Science, Systems Biology, Computational Biology, or a related field with a specialisation in deep learning and omics data analysis. +5 years track record of both successfully managing complex projects and making hands-on technical contributions on AI/ML applications in life sciences and drug discovery. Deep expertise in developing, deploying, and optimising large deep learning models (including generative, Bayesian, and causal models) for target identification, drug repurposing, and cell response prediction using multiple omics data. Demonstrated success in managing and mentoring cross-functional teams within innovative, fast-paced research environments Exceptional leadership, communication, and interpersonal skills, with a proven ability to lead cross-functional teams. Strategic thinking, problem-solving abilities, and a visionary outlook on AI applications in drug discovery.



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