Plan and manage delivery of the team’s line-up of data science products as well as custom analytical projects for Life Sciences customers, ensuring that deadlines and requirements are met.
Thoroughly understand clients’ business needs and translate them into technical and analytical requirements. Prioritize the requirements and clearly communicate them to team members.
Work with the data scientists and engineers to draft requirements, statements of work, budget estimates, scope definitions, timelines, risk mitigation plans and supplier line-ups.
Develop and manage project reports, plans, milestones, risks, issues, dependencies, resourcing, communications, legal, and financial issues.
Team Coordination: Collaborate with cross-functional teams including clinical operations, data management, regulatory affairs, and medical affairs.
Regulatory Compliance: Ensure clinical trials are conducted in accordance with clinical trial protocols, ethical guidelines, and regulatory requirements.
Risk Management: Identify and manage risks and issues that may impact the successful completion of clinical projects.
Prioritize work for internal teams; provide direction for junior team members to achieve client goals.
Perform and supervise routing and approval process for deliverables.
Set up tools and processes to facilitate communication and collaboration between team members.
Work with internal and external clients on identifying unresolved business needs to guide the team’s product strategy.
Develop scalable, repeatable processes and suggest additional enhancements to drive efficiency for future customers and project teams.
Build relationships with internal and external partners.