Data Scientist

SR2 REC LTD; Cambridge; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading company in the Health/MedTech sector is seeking a Data Scientist in Cambridge. This role focuses on applying statistical expertise to clinical research and developing data-driven solutions. With a supportive team environment and flexible working arrangements, this position offers a chance to make a positive impact on healthcare.

Qualifications

• Around 2 years of commercial Data Science experience.
• Experience heavily focused on 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

Git

Classical statistics

Hypothesis testing

Survival analysis

Linear regression

Logistics regression

Exposure to small datasets

Education

BSc or MSc Mathematics (statistic focus)

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 need 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.

Essential experience:

• Python.
• Git for version control.
• Classical statistics.
• Hypothesis testing (parametric and non-parametric).
• Survival analysis techniques (Cox regression, etc).
• Linear or logistics regression models.
• Exposure to small datasets, not just large (very important).

Desirable experience:

• 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 (statistic 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 min 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.