Medical Analytics Consultant – Evidence Generation

Binding Minds Inc. (Certified Disability Owned Business Enterprise); United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Binding Minds Inc. is seeking a Senior Medical Analytics, Evidence Generation contractor to partner with Global and regional Medical Affairs, R&D, and IT to design, implement, and advance end-to-end analytical solutions for evidence planning.

The role owns analytical framing, metrics, interpretation, validation, and decision support for Evidence Generation capabilities, connecting imperatives to study concepts, status, and outcomes to inform decisions.

Qualifications

• 7+ years in healthcare analytics or related field.
• Experience translating questions into data and dashboards.
• Experience designing dashboards for portfolio planning and decision-making.
• Experience with AI in analytics is preferred.

Responsibilities

• Identify business questions and data needs for evidence planning dashboards.
• Design analytical specifications and data models for dashboards and data products.
• Generate insights linking evidence generation activities to medical strategies.
• Lead validation of prototypes and communicate results to teams.
• Support data governance and compliant use of evidence planning data.

Skills

Analytical thinking

Stakeholder management

Project management

Healthcare analytics

Agile delivery

Education

Bachelor's degree in data analytics, life sciences, or related field

Tools

Tableau

Power BI

Looker

Job description

Title: Medical Analytics, Evidence Generation (AD)

Duration: 12 Months Contract

Location: Basking Ridge, NJ

Shift: Remote - Ability to travel up to 10%

Job Summary

The Contractor, Medical Analytics, Evidence Generation will partner with Global and regional Medical Affairs, R&D, Technology Operations, IT, Change Enablement, and Evidence Planning Subject Matter Experts to design, implement, and advance end-to-end analytical solutions that support evidence planning.

This role owns the analytical framing, methods, metrics, interpretation, validation, and decision support for Evidence Generation digital capabilities. The role will help connect strategic imperatives to evidence gaps, study concepts, studies, and study status, and use these insights to support decision-making and assess the impact of evidence generation activities.

Work Location

• Candidate can work 100% remotely for the duration of the assignment.
• Ability to travel up to 10% (mostly to Basking Ridge, NJ).

Responsibilities

1. Analytical Discovery and Requirements Definition

• Translate evidence planning needs into analytical solutions by working with GOMA, regional Medical Affairs, R&D, and Evidence Planning SMEs to define business questions, workflows, data requirements, and what good looks like for evidence planning decision support.
• Lead analytical working sessions with Evidence Planning SMEs and cross-functional partners to define analytical questions, data needs, metric logic, decision criteria, and data-quality requirements for Evidence Generation dashboards and data products.
• Lead the analytical assessment of the current IEP dashboard and define the analytical framework and requirements for enhanced evidence planning capability that maps strategic imperatives to evidence gaps, study concepts, studies, and study status, including planned, ongoing, completed, and published studies. Assess and recommend potential AI/advanced analytics use cases based on feasibility, data availability, expected value, and limitations, in partnership with the Technology Implementation and IT teams.

2. Analytical Design and Data Foundation

• Develop analytical specifications and acceptance criteria for Evidence Generation dashboards and data products, including the analytical data model, required data elements, metric calculations, analytical business rules, data-quality expectations, analytical views, and documented assumptions. Partner with business leads and the Technology Implementation team to establish common definitions, taxonomies, metadata, status conventions, data ownership, refresh requirements, and data-quality expectations needed to implement the analytical specifications and support scalable evidence planning.
• Define analytical requirements for integrating Evidence Generation data into the Medical Data Foundation, including data source needs, metric continuity, and analytical data quality, enabling Technology Implementation and IT teams to create the core and analytical data pipeline needed for the final visualization.

3. Insights and Evidence Activity Impact Measurement

• Generate actionable insights from dashboard outputs to help stakeholders identify evidence gaps, overlaps, dependencies, timing considerations, and opportunities to support evidence planning, prioritization, and portfolio oversight.
• Leverage evidence planning dashboard outputs to support Medical Affairs impact measurement by linking evidence generation activities to prioritized medical strategies, leading indicators on HCP knowledge/behavior gaps, lagging indicators on patient care gaps, and other agreed measures of impact.
• Define analytical measures and reporting requirements that support adoption and value realization, including data completeness, analytical output quality, decision use, and other agreed indicators. Partner with Change Enablement to interpret adoption and engagement data and inform improvement activities.

4. Analytical Validation and Product Improvement

• Lead analytical validation of prototypes and outputs, testing calculation, data behavior, visualizations and interpretation to confirm proposed outputs answer the intended decision questions, are accurate and interpretable, and support Evidence Generation decisions.
• Document analytical findings and recommendations for project teams to incorporate product improvements.

5. Delivery, Governance and Responsible Data Use

• Provide timely analytical inputs to the integrated project plan, including milestone estimates, analytical risks, and dependencies to the Project manager thus enabling them to maintain the analytical workstream deliverables and communicate status or risk during project team meetings.
• Support responsible and compliant use of evidence planning data by partnering with IT, Legal, Compliance, and relevant data owners on access, governance, privacy, security, and appropriate use requirements.

Qualifications

• 7 or more years of related experience in healthcare, pharmaceutical, biotechnology, clinical research, R&D, evidence generation, medical affairs, or analytics is required
• Experience translating evidence planning, R&D, or Medical Affairs questions into data, analytics, dashboard, or reporting solutions is required
• Experience designing or implementing dashboards and analytical products that support portfolio planning, prioritization, or decision-making is required. Leveraging AI to design and implement business solutions is strongly preferred.
• Experience working with evidence generation, clinical development, research planning, publication planning, or study portfolio data is preferred
• Experience collaborating with technology implementation teams, IT, data owners, or enterprise data platforms is required
• Experience defining and applying KPIs and measurement frameworks
• Experience with data interpretation, identifying data quality issues and documenting analytical assumptions
• Proven ability to manage multiple priorities, milestones, risks, and dependencies across a complex, cross-functional environment is required
• Strong understanding of data governance, compliance, privacy, and responsible use considerations in a pharmaceutical or healthcare environment is required
• Experience working in an agile, iterative, or product-oriented delivery model is preferred
• Strong stakeholder management and facilitation skills, with the ability to engage and influence global, regional, R&D, technology, and evidence planning stakeholders.
• Ability to define business requirements, user stories, data requirements, and success criteria for dashboards and scalable analytics solutions.
• At least 3 years of experience using and implementing reporting tools such as Tableau, Power BI, or Looker, with the ability to translate complex information into clear visualizations.
• Strong analytical and problem-solving mindset, with comfort working with incomplete information, evolving requirements, and complex data environments.
• Strong project execution, communication, documentation, and organizational skills, including the ability to manage workplans and provide executive-ready updates.
• Innovation and adaptability: forward-thinking in analytics approaches, with a focus on usability, continuous improvement, automation, and sustainable adoption.
• At least 2 years experience with oncology is required.

Education Qualifications (from an accredited college or university)

• Bachelor's degree in data analytics, data science, business, life sciences, public health, health informatics, or a related field required; advanced degree e.g. PhD, PharmD or MD is strongly preferred.