Evidence Solutions Lead

Roche

. Serve as a medical and methodological expert for Real-World Data (RWD) and data reuse, supporting prioritized DAs, asset teams, and affiliates .

Posted 11/5/2026full-timeMississauga • CanadaSenior💰 CA$136,936 - CA$179,729 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Real-World Evidence (RWE) methodologies and strategic evidence generation solutions, with a strong focus on data reuse and integrated evidence planning. Proven ability to collaborate with cross-functional teams and stakeholders to align on evidence needs and drive impactful RWE initiatives.

Highest-signal resume keywords

Real-World Evidence MethodologiesIntegrated Evidence Plans (IEPs)Non-Interventional Studies (NIS)Data Privacy and GovernanceMedical Evidence Planning Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Real-World Data (RWD)Evidence Generation SolutionsStudy DesignAnalytical ApproachesScientific CommunicationProtocol DevelopmentResult DisseminationData Sources (EHR, Claims, Registries)Health EconomicsEpidemiology

Soft Skills

CollaborationLeadershipCommunity BuildingStrategic PlanningCommunication

Tools & Technologies

RWD PortalsData CatalogsStructured Evidence Planning Frameworks

Industry Keywords

Pharmaceutical IndustryBiotechnologyHealthcareHealth Technology Assessment (HTA)Regulatory FrameworksGlobal Medical Affairs

About the role

Key responsibilities & impact

Serve as a medical and methodological expert for Real-World Data (RWD) and data reuse, supporting prioritized DAs, asset teams, and affiliates
Lead the design of RWE solutions that are fit-for-purpose, decision-driven, and aligned with strategic priorities across the lifecycle
Contribute to Integrated Evidence Plans (IEPs) by recommending optimal RWE solutions, including reuse of data assets, Non-Interventional Studies (NIS), and RWD scientific projects
Ensure RWE solutions enable early visibility, support value differentiation, and are relevant across global and local contexts
Identify and drive opportunities for data reuse across studies, systems, and geographies
Promote transparency of internal data assets and tools that enable future reuse
Partner with medical, access, clinical, commercial, data science stakeholders and affiliates to align on evidence needs and feasibility
Enable affiliates by co-creating local and multi-country RWE solutions, sharing expertise, and promoting standardized frameworks and tools
Create and sustain a community of local Evidence Generation Leaders focused on capability building, data landscaping, RWD initiatives, and data reuse

Requirements

What you’ll need

Advanced degree in a relevant scientific field (MD, PhD, PharmD, or equivalent in life sciences, epidemiology, public health, health economics, or related discipline)
7+ years of experience in the pharmaceutical, biotechnology, or healthcare industry
At least 3-5 years in conceptualization, design and implementation of strategic evidence generation solutions including real-world data (RWD), or non-interventional study (NIS) leadership roles
Demonstrated experience contributing to or leading integrated evidence plans (IEPs) or equivalent cross-functional strategic planning
Global or multi-country experience in medical affairs, clinical development, health outcomes, or RWE
Deep understanding of real-world evidence methodologies, including study design, data sources (EHR, claims, registries, etc.), analytical approaches, interpretation and scientific communication
Knowledge of data privacy, governance, and regulatory frameworks governing RWE generation and use across major markets (e.g., US, EU, APAC)
Working knowledge of health authority and HTA evidence expectations (e.g., EMA, FDA, NICE, G-BA, CADTH)
Proficiency with medical evidence planning and insight-generation tools, including structured evidence planning frameworks, RWD portals, and data catalogs
Experience developing and managing NIS, RWD, and data reuse projects, including protocol development and result dissemination

Benefits

Comp & perks

Relocation Benefits are not available for this job posting
Roche is an Equal Opportunity Employer