Data Scientist – Applied Immunology

JR United Kingdom; Peterborough; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

A leading company is seeking a Data Scientist to enhance its immune analytics platform in Peterborough. This role emphasizes scientific curiosity and systems thinking, with responsibilities ranging from data analysis to collaboration with clinical teams. The ideal candidate will possess solid experience in data science and machine learning, particularly within life sciences, while also demonstrating a commitment to scientific rigor and traceability.

Qualifications

• 2-5 years in applied data science or ML engineering, ideally in life sciences.
• Experience with Python and workflow tools.
• Ability to build and evaluate ML models for practical applications.

Responsibilities

• Own and evolve data pipelines for immune profile analysis.
• Contribute to ML modeling projects for disease outcomes.
• Collaborate with lab staff to ensure outputs are interpretable.

Skills

Python

Machine Learning

Data Documentation

Reproducibility

Tools

AWS/SageMaker

Kedro

Docker

Job description

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Data Scientist – Applied Immunology, Peterborough

Location: Peterborough, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views: 3

Posted: 04.06.2025

Expiry Date: 19.07.2025

Job Description:

Location: London UK / Hybrid

Team: Data Science | IMU Biosciences

Role Type: Full-time, Individual Contributor (with growth pathways)

About IMU Biosciences:

IMU is building the next generation of immune intelligence—machine learning and AI models that decode the complexity of the human immune system to improve patient outcomes.

We work at the intersection of single cell technologies, machine learning, AI, and clinical immunology, turning high-dimensional immune data into signatures that inform clinical and translational decisions. Our vision is to build the world’s most insightful immune analytics platform—combining deep biological data and cutting edge machine learning with rigorous systems-level reasoning.

About the Role

We’re looking for a scientifically curious, systems-minded Data Scientist to join our growing data team. This is a key hire to support the next phase of our platform and product development.

You'll be joining IMU as an essential part of a team that spans discovery biology, statistical modeling/machine learning, and software engineering—with direct exposure to our clinical collaborators, lab team, and leadership.

This is not a typical “data munging” role.

You’ll help us design, build, and scale how we extract meaning from complex immune data—working on problems like:

• How does immune variation between individuals contribute to outcomes across diseases and treatments?
• How do we unify and exploit complex multimodal large-scale immune datasets?
• Building self-service tools for scientists to interrogate and visualize results easily and safely.

What You'll Do

In the first 6 months:

• Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyze immune profiles.
• Contribute to modeling projects that use ML to identify immune signatures of disease or treatment outcomes.
• Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets.
• Collaborate with scientists and lab staff to ensure outputs are interpretable and actionable.

In the next 12 months:

• Drive forward specific components of our immune analytics platform (e.g., prediction, signature interpretation, batch and drift monitoring and correction).
• Help shape internal standards for data documentation, reproducibility, and metadata management.
• Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces.

You Might Be a Fit If You:

• Have 2–5 years experience in applied data science or ML engineering, ideally in life sciences or health data.
• Write clean, reproducible Python and understand workflow tools like Kedro, Dagster, or other orchestration platforms.
• Have built and evaluated ML models for real-world use cases (especially classification or regression with limited samples).
• Are excited by biological complexity: You don’t need to be an immunologist, but respect the nuance.
• Think in systems: You naturally refactor, generalize, and improve code.
• Care about scientific rigor, traceability, and experimental design.

Bonus (but not required):

• Experience with flow cytometry, single cell sequencing, antigen receptor sequencing, or other high-dimensional single-cell assays.
• Familiarity with batch effect correction, signal drift, or statistical learning in low-N cohorts.
• Exposure to knowledge management systems, ontologies, or scientific metadata.
• Experience with AWS/SageMaker, Kedro, Dagster, Docker, or CI/CD pipelines.

What It’s Like to Work Here

At IMU Biosciences, you’ll join a high-trust, low-ego team united by shared values and a drive to make meaningful impact. We believe in:

• Calm intensity: Working with purpose and clarity—focused, deliberate, and resilient.
• Scientific integrity: Following where the data leads, even when it challenges assumptions.
• Platform mindset: Solving problems once and scaling effectively.
• Cross-disciplinary fluency: Bridging disciplines to build comprehensive solutions.

We value autonomy, results over micromanagement, and impact over hype.

How to apply

Send your CV and a brief note about why this role feels right to you. Links to code, notebooks, or publications are welcome. We value your thinking more than polished résumés.

Apply by sending a cover letter and CV to: [emailprotected]. We do not accept unsolicited recruitment agency emails.

More info: https://www.imubiosciences.com/jobs/data-scientist-applied-immunology/