Contractor Medical Analytics, Evidence Generation (AD)

Employment as a Contingent Worker aligns well with individuals seeking career flexibility and non-traditional work arrangements, while also being motivated to produce exceptional results in prominent roles. Magnit Direct Source is a service provided by Magnit Global that connects top-tier talent directly to an industry-leading company. Daiichi Sankyo, Inc. and Magnit Global, in collaboration, offer flexible contingent assignments across diverse projects creating opportunities for engaging work.  As a Contingent Worker, you will not be employed Daiichi Sankyo, Inc. You will be employed by our Managed Service Provider, Magnit Global, which oversees the majority of our temporary contract recruitment.

 

Contractor Medical Analytics, Evidence Generation (AD) 

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 impact from evidence generation activities.

Work Location: Candidate can work 100% remote for duration of the assignment 

• Ability to travel up to 10% (mostly to Basking Ridge, NJ). 

Responsibilities:

  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.

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.

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 indications on patient care gaps 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.

Experience:

• 7+ 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
• 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. 

Location: Basking Ridge, NJ (Remote USA / ET or CT Preferred)
Pay Rate: $86 - $115/Hour W-2 Only (based on Education/Experience) 
Contract: 12-month (Possible Extension)
Health, dental, vision, 401k (provided minimum eligibility hours are met)

Remote