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Job Views:
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Posted:
23.05.2025
Expiry Date:
07.07.2025
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Job Description:
Data Scientist
Cambridge (1x day PW)
Up to £55,000
Health/MedTech
I’m supporting a long-standing client in Cambridge who have had some huge success recently and needs to scale their Data Science function to keep up with demand.
This is very much your traditional statistics-focused Data Science position. I’m looking to speak to people with around 2+ years of commercial Data Science experience, heavily focused on probability and statistics.
You’ll be joining a genuinely lovely and talented team. It’s an opportunity to use your skills to positively impact the lives of others. Health/MedTech experience would be a nice bonus, but certainly not essential.
Responsibilities:
As a key member of the data science team, you’ll provide statistical expertise for clinical research, designing and refining study protocols, analysis workflows, and data pipelines. You’ll help develop advanced methodologies and visualisation tools, collaborate with clinicians to enhance statistical processes, and partner with internal and external stakeholders to deliver data-driven solutions.
- Python.
- Git for version control.
- Classical statistics.
- Hypothesis testing (parametric and non-parametric).
- Linear or logistic regression models.
- Exposure to small datasets, not just large (very important).
- Familiarity with pharma/health/medical datasets.
- Mixed effects models – ability to use matching techniques to create synthetic arms in clinical trials.
- BSc or MSc Mathematics (statistics focus).
The office is located just five minutes from Cambridge train station, and you’ll only need to be on-site once a week (more if you wish), so it’s suitable for people who live a commutable distance from Cambridge.
Finally, in a world of 4-6 stage interview processes, you’ll be pleased to hear this is just 3 stages consisting of a 30-minute pre-screening call, one hour technical and a final culture fit interview, which is done in person.
Reach out to Jamie Forgan for more information.
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