Senior Digital Health Consultant (Pharmaceutical R&D) - Evinova

Senior Digital Health Consultant (Clinical Development) Evinova

Introduction to role

Are you ready to make a difference in the world of digital health? As a Senior Digital Health Consultant at Evinova, you'll partner with Pharmaceutical R&D customers to shape, evaluate, and implement digital health solutions that accelerate clinical development and improve patient outcomes. This dynamic role combines strategy consulting, solution design, and delivery leadership, with accountability for case development and value realization for both the customer and Evinova's P&L. If you have deep experience from a consulting environment and have led end-to-end digital health evaluations and implementations across the R&D lifecycle, this is the opportunity for you!

Accountabilities

Client Leadership & Advisory: Serve as a trusted advisor to R&D leaders across clinical development, clinical operations, and medical. Shape digital strategies, develop operating models, and roadmaps that align with the development portfolio and individual assets.

Digital Health Strategy & Solutioning: Define problem statements, solution options, vendor landscapes, and selection criteria for digital solutions including patient recruitment, remote data collection and monitoring, ePRO/eCOA, digital biomarkers, and patient engagement platforms.

Business Case & Value Realization: Build robust business cases (benefits, costs, risks, scenarios) and define measurable value frameworks (cycle-time reduction, data quality, patient retention, site burden, cost avoidance). Track and report realized value post-implementation.

Protocol Development Support: Contribute to study protocol design where digital tools are used (e.g., endpoint rationale, sensor selection, sampling frequency, feasibility, burden, data flows, and risk management). Ensure alignment with therapeutic area strategy and regulatory expectations.

Protocol Feasibility and Execution: Use tools to support clinical development and operations teams in optimizing protocols through AI-driven solutions to minimize cost, accelerate timelines, improve patient and site experience, and minimize environmental impact without compromising scientific quality.

Implementation & Evaluation: Lead pilots and scaled implementations of digital health technologies, including feasibility studies, validation frameworks, vendor due diligence, interoperability planning, data governance, and change management.

P&L Ownership: Own engagement-level P&L, including pricing, margin management, backlog forecasting, and utilization planning. Drive account growth through proposal development, upsell, and cross-sell.

People Leadership: Identify and nurture key talent to develop a group of industry-leading digital health consultants.

Essential Skills/Experience

- Experience: 8–12+ years in management/healthcare consulting, with 5+ years focused on digital health within Pharma R&D (clinical development and/or clinical operations or biomarker strategy).
- Protocol Development: Hands-on involvement contributing to or reviewing clinical protocols and operational plans in therapy areas including CVRM, Oncology, Respiratory/Immunology or Neuroscience where digital tools inform endpoints, assessments, or data collection.
- Digital Health Delivery: Proven track record evaluating and implementing digital health solutions (e.g., wearables, sensors, ePRO/eCOA, DHT-enabled endpoints, trial delivery capabilities, patient apps/portals), including regulatory knowledge and technical fluency.
- Case & Value Realization: Strong capability in financial modeling, benefits quantification, hypothesis-to-value tracking, and post-implementation value realization reporting.
- P&L Accountability: Demonstrated ownership of engagement or portfolio P&L, including pricing, margin optimization, and revenue forecasting.
- Education: Bachelor’s degree or equivalent experience in life sciences, engineering, data science, or related field; advanced degree (MS, MPH, PhD, PharmD, MBA) preferred.

Desirable Skills/Experience

- Therapeutic Area Exposure: Experience with one or more TAs such as CVRM, Oncology, Respiratory/Immunology, or Neuroscience where digital endpoints are emerging.
- Technical Landscape Expertise: Familiarity with leading eCOA, sensor/wearable trial design and delivery vendors; experience running RFPs and technical due diligence. Strong AI capabilities including demonstrated understanding of the role AI will play in drug discovery and development.
- Validation & Qualification: Experience with analytical/clinical validation of digital measures, human factors engineering, and usability studies.
- Product Attit