VP of Data Science - Drug Discovery
Panda Intelligence - cambridge, MA
Apply NowJob Description
Vice President of Data Science - BiotechPanda Intelligence is pleased to be representing a stealth mode AI drug discovery firm, incubated by one of the most renowned Biotech accelerators in the US and set to become one of the leading AI-driven players in precision medicine. The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment. This role is crucial for shaping and overseeing all aspects of data science, computational biology, and AIML integration to accelerate the design and development of the company's novel platform. Key Responsibilities:Data Strategy Development: Define and implement a comprehensive data science strategy aligned with the company's R&D objectives, ensuring data science and AIML methodologies accelerate target discovery, drug development, and biomarker terdisciplinary Research: Drive interdisciplinary research grounded in computational biology, focusing on target identification.AIML Integration: Provide strategic guidance on integrating AIML into research efforts, working closely with internal and external partners, and leading cross-functional collaborations aimed at advancing the company's data science capabilities.Team Leadership: Build and manage a high-performing team of data science experts, fostering a culture of collaboration, innovation, and continuous learning, and empowering them to contribute to drug discovery and development.Mentorship & Collaboration: Act as a mentor to Data Science and AIML experts, fostering growth and collaboration within the team, and contribute to strategic decision-making for R&D programs.Strategic Partnerships: Identify, recommend, and evaluate opportunities for strategic AI collaborations, leading internal and external cross-functional collaborations to drive the company's data science and AIML strategy.Qualifications:Education: PhD, MD, or equivalent in data science, computational biology, bioinformatics, computer science, or a related field.Experience: Proven people management experience with a strong track record of building and leading high-performing data science teams specifically within drug discovery. Technical Expertise: Deep expertise in data science, computational biology, and AIML applications in early-stage biology, drug discovery, and translational research. Extensive experience working with genomics data is essential. Collaboration & Leadership: Strong leadership skills with the ability to motivate and effectively manage small teams and manage internal and external dustry Knowledge: A recognized leader in the field, with a deep understanding of external trends and the ability to apply advanced analytics and AIML to complex biological and clinical munication: Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex data science concepts to diverse audiences.Problem Solving: Strong strategic thinking skills and the ability to execute and prioritize effectively in a complex, matrixed environment.Position: Vice President of Data ScienceLocation: On-site minimum of 3 days per week in Cambridge, Massachusetts (however fully remote working is possible long-term)Travel: Domestic and international travel up to 15%If interested, please send your resume to . Interviews will begin shortly.
Created: 2024-09-30