The Opportunity
Voy is one of the UK's fastest-growing digital health platforms, operating across weight management, men's health, and women's health in the UK, Germany, Brazil, and India. Our Research team sits at the centre of everything: generating the real-world evidence that informs how we build products, engage pharma partners, and demonstrate clinical impact at scale.
You will join a team that has published and presented work at ENDO, ADA, and EAU, with collaborators spanning UCL, Cambridge, Harvard, and Imperial, and a dataset that gives us a genuinely rare window into GLP-1 outcomes, Men’s Health, and Menopause at population level.
This role is for a clinical or health sciences researcher who thinks like a data scientist. You will take messy, real-world clinical data and turn it into publication-grade evidence that shapes decisions from product roadmap to regulatory positioning. You will work with genuine autonomy across the full arc of a study, from design and SQL extraction through statistical modelling and peer-reviewed submission, and you will see your work presented at international conferences and high impactful journals.
What you’ll do
Design and lead real-world evidence studies end to end, spanning retrospective cohort analyses, longitudinal outcome studies, and prospective designs across obesity, testosterone deficiency, menopause, diagnostics, AI and Digital Health
Extract and clean large-scale clinical datasets using SQL and BigQuery, building reproducible, auditable pipelines from raw data to analysis-ready tables
Conduct advanced statistical analysis in R and/or Python, including MMRM, mixed-effects models, survival analysis, and causal inference methods such as IPTW and propensity scoring
Lead manuscript preparation and submission to peer-reviewed journals, from first draft to revision responses, maintaining clinical rigour and methodological transparency
Translate analytical findings into clinically meaningful narratives for internal teams, commercial partners, and conference audiences
Support pharmaceutical and institutional partnerships through data mapping, evidence summaries, and partner-facing analyses grounded in Voy's real-world dataset
Contribute to health economics work that quantifies the long-term clinical and commercial value of Voy's programmes
Present research at international conferences and represent Voy's evidence base in engagements with academic, clinical, and industry stakeholders
Who you are
You take full ownership of research projects, managing ambiguity without needing close direction, and hold yourself accountable to publication-quality output
You are a trained clinician (MBChB, MBBS, or equivalent) with strong quantitative skills, or a PhD-level epidemiologist or biostatistician with demonstrable clinical literacy, and peer-reviewed publications in either case
You think in outcomes, not tasks: you care whether the study design is defensible, whether the effect estimate is interpretable, and whether the finding changes a decision
You are fluent in R and/or Python for statistical analysis, and comfortable writing and optimising SQL against large clinical datasets
You communicate complex findings clearly to non-technical audiences, whether that is a clinical team, a commercial partner, or a regulatory body
You have a growth mindset and actively seek out methodological challenges, whether causal inference, health economics, or novel outcome modelling
You thrive in a fast-paced, commercially aware environment and understand that rigorous research and business impact has an impact
You bring or are actively building an academic network, with existing institutional relationships or conference presence seen as a strong advantage
