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- Tasks: Lead R&D projects to transform behavioural data into impactful healthcare insights.
- Company: Fast-growing behavioural healthcare analytics firm with a builder culture.
- Benefits: Remote-first model, flexible work environment, and access to WeWork.
- Why this job: Make a real difference in healthcare by leveraging large-scale behavioural datasets.
- Qualifications: PhD with 2+ years industry experience in behavioural science and data.
- Other info: Collaborative team across Washington DC, London, and Delhi with strong growth potential.
The predicted salary is between 48000 - 72000 £ per year.
Do you want to build a behavioural intelligence product using US population-scale data? Have you worked with survey and digital behavioural signals and want to turn that into a scalable data product? Are you a bold, product-minded Behavioural Scientist ready for a genuine R&D mandate?
We’re partnering with a fast-growing behavioural healthcare analytics business (~40 people) with teams across Washington DC, London and Delhi. They sit at the intersection of behavioural science and data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued.
You’ll work on high-impact research programmes translating behavioural datasets into usable benchmarks and recommendations for healthcare stakeholders.
Key responsibilities:- Lead R&D projects focused on drivers of US healthcare behaviour at scale
- Design and run behavioural measurement approaches (survey and digital signals)
- Build statistical and predictive models (regression, segmentation, behavioural modelling)
- Translate findings into benchmarks, insights and recommendations
- Partner with PM/DE to productise outputs into a robust data product
- Collaborate on evaluating and onboarding new data sources
- Strong academic background (Russell Group / top universities)
- 2+ years post-PhD industry experience
- Strong behavioural science grounding (intersection of behaviour and data)
- Experience with survey data and/or digital behaviour signals
- Ability to code in Python and/or R
- Proactive, creative, willing to take ownership (not risk-averse)
- Consumer behaviour analytics background (e.g. retail, marketplaces)
- Behavioural / political consultancy experience
- SQL
- Python and/or R
- Databricks
- SQL beneficial but not essential
Remote-first model. London-based hire (no permanent office yet). Current cadence may be 1x per month / 1x per quarter, but expectations will increase as the London office builds. WeWork access provided when required (as many days in as preferred).
Senior Behavioral Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Behavioral Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the behavioural science and data science fields, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving survey data and digital signals. This is your chance to demonstrate how you can turn complex data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of US healthcare behaviour. Be ready to discuss how your experience aligns with the role and how you can contribute to building impactful data products.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Behavioral Data Scientist
Some tips for your application 🫡
Show Your Passion for Behavioural Science: When you're writing your application, let your enthusiasm for behavioural science shine through! We want to see how your background and experiences align with our mission to understand healthcare behaviour. Make it personal and relatable!
Highlight Relevant Experience: Be sure to showcase any experience you have with survey data and digital behavioural signals. We’re looking for someone who can turn complex data into actionable insights, so don’t hold back on those examples that demonstrate your skills!
Keep It Clear and Concise: While we love a good story, make sure your application is easy to read and straight to the point. Use bullet points where necessary and avoid jargon unless it’s relevant. We want to get to know you without wading through fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of behavioural data you’ll be working with. Brush up on your experience with survey and digital behavioural signals, as well as any statistical models you've built. Being able to discuss specific projects where you've applied these skills will show your expertise.
✨Showcase Your R&D Mindset
This role is all about research and development, so come prepared to discuss your approach to leading R&D projects. Think about how you’ve tackled complex problems in the past and be ready to share examples of how you’ve turned insights into actionable recommendations.
✨Demonstrate Your Coding Skills
Since coding in Python and/or R is a requirement, make sure you can talk confidently about your programming experience. Bring examples of code you've written or projects where you've used these languages to build models or analyse data. If you have experience with SQL or Databricks, don’t forget to mention that too!
✨Emphasise Your Collaborative Spirit
This company values collaboration, so be ready to discuss how you’ve worked with product managers and data engineers in the past. Highlight any experiences where you’ve partnered with others to turn research findings into a robust data product, showcasing your ability to work in a team-oriented environment.
