Data Scientist

JR United Kingdom; Cambridge; On-site; GBP 45,000 - 55,000; Full time

Job summary

A leading company in Health/MedTech seeks a Data Scientist to join their team in Cambridge. This role focuses on statistical analysis and offers the chance to positively impact lives through data-driven solutions. The position requires 2+ years of experience and a strong background in mathematics, with a supportive team environment and flexible working arrangements.

Qualifications

• 2+ years of commercial Data Science experience.
• Experience in probability and statistics.
• Health/MedTech experience is a bonus.

Responsibilities

• Provide statistical expertise for clinical research.
• Design and refine study protocols and data pipelines.
• Develop advanced methodologies and visualisation tools.

Skills

Python

Classical statistics

Hypothesis testing

Linear regression

Logistic regression

Mixed effects models

Education

BSc or MSc Mathematics (statistics focus)

Tools

Git

Job description

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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.