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MANUAL

Senior Clinical Researcher & Data Scientist

London
Posted 1 day ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

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Healthcare is broken. We’re fixing it — and we need your help.

Back in 2019, we launched MANUAL to tackle men's health (starting with hair loss and sexual health). A few years later, we launched Voy with a focus on weight loss. But our ambition has always been bigger. Healthcare too often treats conditions in isolation, not people as a whole, and we're on a mission to prove there's a better way.

In 2025, we evolved from MANUAL into Voy, a brand built for the long game: supporting people through every stage of life, not just a single diagnosis. Today, we support over 1 million members across the UK, Germany, and Brazil, delivering personalised care across weight loss, menopause, hair loss, and TRT (with more categories on the way).

Ready to join us and change how healthcare feels for millions of people?

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Skills

Clinical Research
Data Science
SQL
Statistical Analysis
R
Python
Health Economics
Causal Inference
Publication Writing
Data Cleaning
BigQuery
Mixed-Effects Models
Survival Analysis
Longitudinal Studies
Outcome Modelling
Communication

Location

London, England, United Kingdom

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