Digital Patient Scientist

WHY JOIN US?

Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone

Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide

At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment

We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration,
employees are expected to work from the office three days per week
, creating opportunities for in-person teamwork, innovation, and meaningful connection

We're building out a best-in-class Digital Science team to leverage innovative digital technology, apply user centric design and use science to improve participation in clinical research, collect novel and/or better data, apply advanced analytics to inform more robust evidence, and support both patients and their healthcare providers towards better care and improved outcomes

As a Senior Scientist, you’ll turn unmet patient and clinical needs into innovative digital solutions that help patients, care partners and healthcare professionals capture, understand and act on health information throughout a clinical trial

You’ll work at the forefront of digital health innovation, developing remote patient monitoring (RPM) solutions and other digital tools spanning symptom and toxicity monitoring, wearables and sensors, medication tracking, and intelligent alerting and escalation. You’ll help take solutions from early concept and scientific design through validation and real-world implementation in clinical studies

Working alongside experts across Digital Science, Product, Design, Data Science and clinical study teams, you’ll have the opportunity to influence how digital technologies are used across therapeutic areas including oncology, cardiovascular, renal and metabolism, and respiratory and immunology, ultimately helping make clinical trials more connected, patient-centric and effective

• Opportunity Scoping and Concept Definition
• Identify and prioritize opportunities for new digital solutions, including remote patient monitoring (RPM), dosing diaries, wearables and other patient- and HCP-facing tools
• Define the intended use, target population, decision context and value proposition for new solutions
• Evaluate existing instruments, devices and sensors before recommending new development
• Instrument, Algorithm and Functionality Development
• Lead the scientific design of digital measures and functionality, including assessments, scoring algorithms, thresholds, alerts and escalation pathways
• Translate scientific requirements into clear specifications for Product, Design and Engineering
• Review and test solutions throughout development to ensure they deliver on their scientific intent
• Clinical Validity and User-Centred Design
• Bring the needs and behaviours of patients, caregivers and HCPs into the design of digital solutions
• Partner with Design to create intuitive, accessible experiences for diverse populations, including older, unwell and digitally less confident users
• Ensure solutions support reliable data collection while minimizing participant burden
• Evidence Generation and Data Collection Methodology
• Design qualitative and quantitative research to establish content validity, usability and fitness for purpose
• Develop data collection approaches that respect participant privacy and generate meaningful,…