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Data Science Leader

2 months ago

Cambridge, Massachusetts, United States Panda Intelligence Full time
Vice President of Data Science and AI

Panda Intelligence is seeking a highly experienced Vice President of Data Science and AI to lead our data science efforts and drive innovation in precision medicine. As a key member of our leadership team, you will be responsible for shaping and overseeing all aspects of data science, computational biology, and AI/ML integration to accelerate our novel platform.

Key Responsibilities:
  • Data Strategy Development: Define and implement a comprehensive data science strategy aligned with our R&D objectives, ensuring data science and AI/ML methodologies accelerate target discovery, drug development, and biomarker identification.
  • Interdisciplinary Research: Drive interdisciplinary research grounded in computational biology, focusing on target identification.
  • AI/ML Integration: Provide strategic guidance on integrating AI/ML into research efforts, working closely with internal and external partners, and leading cross-functional collaborations aimed at advancing our 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 AI/ML 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 our data science and AI/ML 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 AI/ML 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 collaborations.
  • Industry Knowledge: A recognized leader in the field, with a deep understanding of external trends and the ability to apply advanced analytics and AI/ML to complex biological and clinical datasets.
  • Communication: 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.

Location: 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%