Apply on Employer Site

Evinova · 1 week ago

Head, Digital Health consulting (Clinical Development) Evinova

Gaithersburg, MD

Full-time

Hybrid

Director/Executive

$183K/yr - $275K/yr

8+ years exp

Evinova is a company focused on digital health solutions, and they are seeking a Head of Digital Health Consulting to partner with Pharmaceutical R&D customers. This role involves shaping and implementing digital health strategies to enhance clinical development and improve patient outcomes.

AppsArtificial Intelligence (AI)Health CareSaaSSoftwareTask Management

Responsibilities

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

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

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

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

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

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

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

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

Qualification

Digital Health StrategyClinical Protocol DevelopmentP&L AccountabilityDigital Health DeliveryFinancial ModelingAI CapabilitiesTherapeutic Area ExposurePeople LeadershipProduct ManagementGlobal Programs

Required

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)

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

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

Strong capability in financial modeling, benefits quantification, hypothesis-to-value tracking, and post-implementation value realization reporting

Demonstrated ownership of engagement or portfolio P&L, including pricing, margin optimization, and revenue forecasting

Bachelor's degree or equivalent experience in life sciences, engineering, data science, or related field; advanced degree (MS, MPH, PhD, PharmD, MBA) preferred

Preferred

Experience with one or more TAs such as CVRM, Oncology, Respiratory/Immunology, or Neuroscience where digital endpoints are emerging

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

Experience with analytical/clinical validation of digital measures, human factors engineering, and usability studies

Background in product management for digital tools or platforms used in trials or patient support

Delivery experience across multi-country studies with an understanding of site/patient variability and localization needs