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Head of Data Science - (Pharma.Healthcare)
Head of Data Science - Generative AI
Harnham is seeking a Head of Data Science to lead strategy and teams for a pioneering Healthcare company. The role involves leveraging Machine Learning, working in a regulated environment, and collaborating with stakeholders to drive data-backed insights and solutions in the health sector.
About the role
About the Role
Harnham is partnering with a pioneering Healthcare company at the forefront of innovation in the sector. With a strong focus on Health/Pharma, Consultancy space, and Clinical and Commercial space, they are seeking a highly skilled Data Science Director with expertise in Health/Logistical space to take on a Head of Data Science role.
Responsibilities
- Shaping the Data Science strategy, overseeing dynamic teams dedicated to leveraging data for driving Health-related insights and solutions.
- Work in a Regulated environment.
- Collaborating closely with key stakeholders in the health sector, including C-suite executives, to provide data-backed recommendations that drive transformative impact.
- Applying cutting-edge Machine Learning techniques to optimize Healthcare pricing/logistical strategies, improve forecasting accuracy, and enhance health demand predictions.
- Spearheading the expansion of the Data Science team through strategic recruitment, bringing on board top talent to strengthen the company's data capabilities.
- Nurturing a culture of continuous learning and professional growth, ensuring team members stay abreast of the latest advancements in Health and Data Science domains.
- Focusing on data-driven commercial approaches, identifying opportunities to maximize revenue.
Requirements
- A minimum of an MSc in a STEM subject, such as Mathematics, Statistics, or Computer Science, ideally with a focus on Health or related fields.
- A track record of years in the health sector, with a significant portion dedicated to Data Science and Machine Learning projects.
- Experience working in a Regulated environment.
- Proven experience in time-series forecasting, pricing, and statistical analysis, with a deep understanding of their application in the Health domain.
- Exceptional communication, leadership, and strategic vision, with a demonstrated ability to drive data-centric initiatives in the health sector.