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Role Overview

As part of Ontada’s Real World Research team, the Research Scientist provides scientific and research expertise across real-world oncology research studies. This role leads development and refinement of scientific protocols, including statistical analysis sections, and applies knowledge of real-world data sources to define study data requirements and support appropriate data collection. The Research Scientist serves as a scientific point of contact for project sponsors and cross-functional teams, contributing expertise to study discussions, interpretation of results, and development of accurate, evidence-based client deliverables. The role supports multiple concurrent projects by aligning scientific input with study scope, timelines, and deliverable expectations, while contributing to amendments and proposals for new research opportunities as appropriate.

Key Responsibilities

• Provides scientific and research expertise across multiple concurrent research projects, supporting alignment with study scope, timelines, budget considerations, and deliverable expectations
• Serves as the scientific point of contact for project sponsors, providing research expertise to support study discussions and decision-making
• Attends client meetings to provide scientific expertise and support discussion of research methods, results, and interpretation
• Applies research and analytic expertise to evaluate complex research questions posed by internal and external stakeholders
• Serves as the scientific and research expert for the cross-functional project team throughout the research lifecycle:
  • Leads development of scientific protocols by writing all sections, including the statistical analysis section, incorporating targeted cross-functional input and appropriate refinements based on client feedback
  • Applies knowledge of real-world data sources, including unstructured/structured electronic health records, claims, and external mortality and SDOH data, to define study data requirements based on feasibility assessments and available data sources
  • Collaborates with abstraction and biostatistics teams to ensure appropriate data collection, including development and review of eCRFs and data specifications
  • Applies medical writing expertise to prepare client-ready project deliverables, including but not limited to writing/formatting of final reports, presentations, and summaries of analytic findings
  • Critically reviews and interprets statistical analysis results to assess data quality and support development of accurate, evidence-based research conclusions
  • Completes regulatory and compliance documents as required
• Identifies and supports pursuit of additional project opportunities through amendments to existing studies and occasional development of proposals for new research studies

Minimum Requirement

• Degree or equivalent and typically requires 7+ years of relevant experience.

Critical Skills

• Typically requires 7+ years of relevant experience in observational/ real world data (RWD) based research or Health Economics Outcomes Research (HEOR)
• Master's degree in Public Health, Population Science, Pharmacy, Healthcare Economics, Clinical Research or related clinical discipline is required. Doctoral degree preferred.

• Demonstrated expertise using real-world data sources, including structured and unstructured EHR, claims, mortality, SDOH, and patient-reported outcomes data, to support study design, execution, and interpretation
• Strong knowledge of quantitative research methods required; additional familiarity with qualitative and mixed-methods research approaches preferred
• Medical writing expertise required, including experience developing literature reviews, scientific protocols, reports, presentations, abstracts, posters, and manuscripts
• Skilled at cultivating trusted, collaborative relationships with clients and partners
• Ability to critically review and interpret research findings and statistical analysis results to support accurate, evidence-based conclusions
• Oncology and pharmaceutical/CRO experience required
• Solid knowledge of healthcare, safety, regulatory, and compliance processes
• Ability to contribute scientific expertise across multiple concurrent HEOR/RWR studies with varied timelines and deliverables while maintaining a high degree of accuracy and professionalism
• Ability to collaborate effectively in a fast-paced, evolving matrix environment and adapt to new processes, technologies, and AI-enabled approaches to research execution
• Strong oral and written communication skills required, including ability to provide clear, professional, and scientific contributions in client-facing and multidisciplinary team discussions
• Proficiency with Microsoft Word, PowerPoint, Excel, Teams, and Copilot required; additional familiarity with Claude and Databricks preferred

Must be authorized to work in the US.  Sponsorship is not available for this position.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

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