Associate Director Clinical Cost Analytics

The Associate Director of Clinical Cost Analytics is accountable for managing and performing clinical program and clinical trial cost modeling, forecasts, benchmarking, metrics, and general business analytics to demonstrate cost optimization, savings, and return on investment. This position will be part of the Clinical Business Analytics (CBA) pillar in Clinical Contracts and Outsourcing (CC&O) and will report to the Head of Clinical Outsourcing and Vendor Governance (OVG).

The job will require detailed analyses across disparate data and contracts, data interpretation, preparing and providing presentations for Senior Leadership, and developing concise quality reports or dashboards to gain and communicate insights about clinical development, operations and cost analysis to help guide and inform business decisions.

The core duties and responsibilities of this role include, but are not limited to:

• Perform project management for assigned initiatives, collaborate and align with Clinical Development and FP&A personnel to deliver meaningful financial and operational insights to the organization for decision‑making.
• Create functional process and methodology guidelines to achieve repeatable results across assigned tasks.
• Provide expertise in clinical cost and service analytics; conduct complex analyses and evaluation of data showing trends, risk indicators, and opportunities for cost efficiencies. Analyses may be single‑trial centric or cross‑program/studies involving multiple scenario planning.
• Compile and reconcile historical cost data from disparate sources (e.g., clinical vendor and investigator site PDF contracts, varied work breakdown budget structures, PO data, other financial sources/systems, and clinical development plans).
• Prepare reports, charts, and other graphic material giving interpretation of collected data for planning, governance budget trends, and service provider benchmarking.
• Responsible for the evaluation and analysis of cost metrics and key performance indicators (KPIs) to inform business decisions and increase cost accuracy throughout the life of a study.
• Demonstrated expertise regarding direct and indirect cost impacts for new, ongoing, or revised clinical sourcing approaches and operational modeling.
• Develop and implement novel planning solutions including tools, methodologies, and processes in conjunction with cross‑functional areas/departments to deliver resourcing/business analytics and for budget forecasting and management.
• Present concise executive summaries and analytical findings to senior management, highlighting key insights and recommendations.
• Develop strong stakeholder alliances across the organization for successful resourcing, budgeting, and business analytics management.
• Assist CC&O on projects that are highly dependent on analytical and computational software support.
• Participate in CC&O systems related enhancement projects and research opportunities to leverage new technology to support the CC&O organization with business insight data mining.
• Perform other duties as required.
• May directly supervise employees and contractors.

• B.A./B.S. is required. MBA (or equivalent experience) is preferred.
• At least 10+ years in related business/industry experience with a minimum of 5 years performing clinical cost analyses.
• Experience at a pharmaceutical, biotech, or CRO (Clinical Research Organization) company in a clinical cost diagnostic or clinical financial planning and data interpretation role.
• Experience in an oncology setting is preferred.
• Experience managing resources preferred but not required.

• Excellent analytical, quantitative, problem‑solving, and presentation skills.
• Strong financial acumen and ability to synthesize information into meaningful executive summaries.
• Advanced knowledge in Excel, computational, and data visualization software (e.g., Spotfire, Tableau, etc.).
• Strong understanding of the drug development process, including phases 1 through 4 clinical trial services.
• General understanding of data warehouse concepts.

• Must be an initiative‑taker with minimal supervision.
• Exhibit high self‑motivation and…