Senior Medical Analytics Consultant, Evidence Generation

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a biotechnology research client in Basking Ridge, NJ

No Third-Party, No Corp to Corp, No Sponsorship Now, Future or Current Temporary Authorization

Title: Senior Medical Analytics Consultant, Evidence Generation

Location: Basking Ridge, NJ

Remote (Mon-Fri, 40 hours)

Contract Duration: 12 months, with likely extension

Pay Rate: $60.00 - $75.00 per hour (w2)

Position Overview

We are seeking a Senior Medical Analytics Consultant to support Medical Affairs, R&D, and Evidence Generation initiatives. This individual will partner with global and regional stakeholders, technology teams, and evidence planning subject matter experts to develop analytical solutions that strengthen evidence planning, portfolio oversight, and strategic decision-making.

The ideal candidate combines pharmaceutical or healthcare analytics experience with strong capabilities in analytical solution design, dashboard development, KPI measurement, data governance, and cross-functional collaboration.

Key Responsibilities

• Translate Medical Affairs, R&D, and evidence planning business needs into analytical requirements, data models, dashboards, and reporting solutions.
• Lead cross-functional working sessions to define analytical objectives, data requirements, performance metrics, business rules, and data quality expectations.
• Assess existing evidence planning dashboards and develop analytical frameworks that connect strategic priorities, evidence gaps, study concepts, ongoing studies, completed studies, and publications.
• Define analytical specifications, KPIs, measurement frameworks, acceptance criteria, and data validation requirements for enterprise analytics solutions.
• Partner with IT, technology implementation, and data teams to support enterprise data integration, data governance, metadata standards, and analytical data pipelines.
• Analyze dashboard outputs to identify evidence gaps, overlaps, dependencies, trends, and opportunities to improve evidence planning and portfolio prioritization.
• Develop measurement approaches to assess the impact of Medical Affairs and evidence generation activities, including leading and lagging indicators.
• Evaluate opportunities to leverage AI and advanced analytics to improve evidence planning, analytical capabilities, and business decision-making.
• Collaborate with Change Enablement teams to monitor adoption, evaluate analytical effectiveness, and identify opportunities for continuous improvement.

Required Qualifications

• Bachelor's degree in Data Analytics, Data Science, Business, Life Sciences, Public Health, Health Informatics, or a related discipline.
• 6+ years of relevant experience in healthcare, pharmaceutical, biotechnology, clinical research, R&D, Medical Affairs, or analytics.
• Experience translating business or evidence planning requirements into analytical solutions, dashboards, data products, or reporting capabilities.
• Demonstrated experience designing or implementing dashboards and analytical solutions supporting portfolio planning, prioritization, and business decision-making.
• Experience developing KPIs, performance metrics, measurement frameworks, and analytical reporting requirements.
• Strong understanding of data interpretation, data quality, analytical validation, and documentation of business assumptions.
• Experience collaborating with IT, technology implementation teams, data owners, and enterprise data platforms.
• Understanding of data governance, regulatory compliance, privacy, and responsible data use within pharmaceutical or healthcare environments.
• Strong project management, communication, and stakeholder management skills, with the ability to manage multiple priorities and deliverables across complex cross-functional initiatives.

Preferred Qualifications

• Experience in Evidence Generation, Integrated Evidence Planning, Medical Affairs, clinical development, research planning, publication planning, or study portfolio management.
• Experience leveraging AI or advanced analytics to develop business solutions.
• Experience working in agile, iterative, or product-oriented delivery environments.
• Advanced degree such as a PhD, PharmD, or MD is strongly preferred.

Work Arrangement

This is a fully remote contract opportunity with occasional travel, up to 10%, primarily to Basking Ridge, New Jersey.