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Flok Health

Research Associate

CambridgeHybrid
PermanentFull-Time
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Posted 1 week ago

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Description

About the company
Every healthcare system in history has been a fundamental trade-off between quality and scale - our mission is to change that. We're building a new category of AI-native healthcare provider, using full-stack care automation to deliver world-class treatment at population scale.

Our AI physiotherapy clinic is already democratising access to 24/7 healthcare for NHS patients across the UK, and we're just getting started.

About the role
We're looking for a driven, rigorous researcher with an academic healthcare background to build Flok's body of publishable evidence. You'll work with our partner NHS trusts to design and deliver studies of our AI-led pathways, and with our internal teams to find new evidence-gathering opportunities and turn our data into meaningful insight.

What you'll do
Your day-to-day work will be impactful and varied, including:
  • Building and prioritising a pipeline of research questions across our MSK and pelvic health pathways
  • Writing protocols, analysis plans, manuscripts and conference abstracts
  • Supporting partner trusts to design service evaluations and real-world studies, and to publish their own findings
  • Navigating research governance, from service evaluation sign-off to HRA and ethics approvals
  • Working with our internal teams to identify evidence-gathering opportunities within the product
  • Shaping what data we capture so it's research-ready from day one
  • Generating insight on outcomes, safety, equity and efficiency for clinical and product leads
  • Interpreting and challenging data analysis (including your own)

You'll collaborate closely with our clinical, engineering and partnerships teams, work directly with company leadership, and see your work shape care for patients across the NHS.

About you
  • You have an academic healthcare background, and have contributed to multiple peer-reviewed publications
  • You have proven research experience in industry
  • You're confident with study design and statistics, and comfortable interpreting and challenging data analysis
  • You're diligent, with a strong eye for detail
  • You're versatile and self motivated, comfortable coming up with and building fresh ideas on your own
  • You communicate clearly with clinicians, engineers and commissioners

Bonus points
Whilst not required, experience in any of these areas will definitely stand out - let us know if you have any!
  • MSK, physiotherapy or pelvic health research
  • Analysis in R, Python or Stata (and some SQL)
  • NHS research governance (HRA, ethics, IG)
  • Real-world evidence, service evaluation or health economics
  • Evaluating digital health or AI products

What we offer
  • Interesting and challenging work
  • In-person working from a beautiful workspace in the Cambridgeshire countryside
  • Onsite gym
  • Digital health subscription of your choice
  • Early-stage equity with employee-friendly terms (via an EMI scheme)
  • Comprehensive medical coverage (including dental and optical) and life insurance
  • Optional remote working on Wednesdays, with an annual allowance of 10 extra remote days
  • Desk setup allowance for your favourite keyboard / mouse / whatever!
  • Fast-paced work environment geared towards excellence and professional growth (with annual training budget)
  • Opportunity to have a big impact in a small early-stage team making a difference to the lives of people across the UK

By submitting this application, I consent to Flok Health Ltd processing my personal data (contact details, employment history, qualifications, and references) for the purpose of assessing my job application, on the basis of my consent and the company's legitimate interest in recruitment. My data will be retained for 12 months after the recruitment process concludes, after which it will be deleted. I have the right to access, correct, or request deletion of my data, and can withdraw consent at any time.
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Flok Health

The world's first AI physiotherapy clinic delivering accessible, effective care at scale

CambridgeDigital Health11 - 50

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