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Mira

Real-world evidence scientist (Remote EU, B2B contract)

London
Posted 30 days ago
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About Mira

Mira is a San Francisco-based hormonal health company providing integrative care and hormonal testing for over 300,000 customers. In 2023, we were recognized by Inc. 5000 as America's fastest-growing femtech company.

Mira’s breakthrough innovation was creating the market’s only FDA-compliant at-home hormone monitor with quantitative testing technology. From the beginning, our mission has been to make hormone data accessible and meaningful - so women can understand their bodies and make confident health decisions at every stage of life, from cycle health and family planning to hormonal imbalances and the menopause transition.

We are committed to improving real health outcomes through personalized insights, cutting-edge technology, and science-backed data - turning hormone information into practical guidance for everyday wellbeing.

About The Position

This is a Founding Research role, reporting directly to the CEO. Your job is to turn Mira's proprietary user data into defensible, real-world evidence - research that strengthens our clinical and scientific moat and generates credible marketing claims as a byproduct.

You'll be the company's internal authority on research rigor: taking vague business questions ("Do women using Mira conceive faster?") and turning them into sound, pragmatic studies on real, messy consumer data. You'll own these studies end to end - from hypothesis to design to analysis to a conclusion we can stand behind, scientifically and legally.

This is a build-from-scratch function. You'll define the process, ship fast, and over time grow into leading a small team. It is not a clinical-trials, regulatory/FDA, or hardware role - those live in separate functions you'll partner with.

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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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This is not a pure analyst role. You will be expected to design studies, make methodological decisions, and own conclusions. You will partner with data/engineering support for data pulls and productionized analysis, but you should be hands-on enough to run or deeply review the analysis yourself.

Requirements

Must-haves

  • Strong research and statistical judgment on messy, real-world/observational data — you know how to design valid studies and smell out confounding and bias.
  • Hands-on analytical skills — Python or R, with experience in observational and/or longitudinal methods.
  • Ownership and startup speed — you self-direct in ambiguity, build process from nothing, and ship fast.
  • Commercial instinct — you can tell which question is worth answering, not just how to answer it.
  • Clear communication — you can explain findings to non-technical stakeholders and write up results clearly.

Nice-to-have

  • Background in consumer/D2C, public health, or epidemiology data.
  • Experience in women's health or fertility (we'll happily teach the domain).
  • Familiarity with IRB processes, external research partnerships, or peer-reviewed publishing.

Details

The role is a remote position, with a 40-hour workweek, flexible working hours, and occasional overlap with the US team.

Responsibilities

  • Build our real-world evidence engine. Mine Mira's existing user cohort for outcome signals — time-to-pregnancy, cycle monitoring, ovulation confirmation, PCOS detection, and more.
  • Own studies end-to-end. Translate business and strategy questions into rigorous observational studies; design them, run (or closely supervise) the analysis, and deliver defensible conclusions.
  • Substantiate claims. Build a repeatable, evidence-backed process for generating marketing and scientific claims that hold up to both regulators and lawyers.
  • De-risk our bigger bets. Use cheap, fast retrospective analyses to power and de-risk larger validation studies (e.g., the time-to-pregnancy study).
  • Publish and build credibility. Where it serves the business, turn findings into peer-reviewed publications and KOL-ready evidence.
  • Partner across the company. Work with our data developer for data pulls and analysis support, and with commercial/marketing leads to focus on the questions that actually matter.
  • Set the bar for rigor. Be the person who spots confounders, bias, and sample-size problems before they become liabilities.

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Benefits

  • Join one of the fastest-growing femtech companies in the U.S., driven by a strong mission to advance women’s health and expand access to care
  • Be part of a passionate, highly motivated, and international team dedicated to making a real difference in people’s lives
  • Thrive in a fast-paced startup environment where your work directly impacts company growth, strategy, and key decisions
  • Enjoy real opportunities for career growth, with the ability to shape, build, and develop teams as we scale
  • Work in a flexible, fully remote environment that supports autonomy, ownership, and independence
  • Receive a competitive salary along with a performance-based bonus system tied to OKRs
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Skills

Research
Statistical Judgment
Analytical Skills
Python
R
Observational Methods
Study Design
Data Analysis
Communication
Consumer Data
Public Health
Epidemiology
Women's Health
Fertility
IRB Processes
Peer-Reviewed Publishing

Location

London, England, United Kingdom

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