About The Position

Are you ready to make a difference in the world of digital health? As a Head, Digital Health consulting 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!

Requirements

  • 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.

Nice To Haves

  • 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 Attitude: Background in product management for digital tools or platforms used in trials or patient support.
  • Global Programs: Delivery experience across multi-country studies with an understanding of site/patient variability and localization needs.

Responsibilities

  • 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.

Benefits

  • The annual base pay for this position ranges from $ 183.192,80 to $ 274.789,20.
  • Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
  • Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
  • In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).
  • Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.
  • Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.
  • If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service