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

What we offer

• Private medical insurance

• Gym & wellness benefit with Wellhub

• A fun and friendly working environment with motivated co-workers working towards the same end goal.

• Cycle to work scheme

• Electric car scheme

• Flexibility of hybrid working out of our modern HQ near London Bridge (with free lunch once a week!)

• 25 days holidays plus bank holidays and generous parental leave

• Join in the early stages of one of the most promising scale-ups in the healthcare space!