Data Scientist – Applied Immunology

JR United Kingdom; Maidstone; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

Join a cutting-edge company at the forefront of immune analytics as a Data Scientist specializing in applied immunology. You'll work collaboratively across diverse teams to interpret complex immune data, contribute to innovative machine learning models, and help shape standards for scientific rigor and traceability.

Qualifications

• 2-5 years experience in applied data science or ML engineering, ideally in life sciences.
• Ability to write clean, reproducible Python code.
• Experience in building and evaluating ML models.

Responsibilities

• Own and evolve data pipelines built in Python and R.
• Contribute to modeling projects identifying immune signatures.
• Collaborate with scientists to ensure outputs are actionable.

Skills

Python

Machine Learning

Data Analysis

Statistical Modeling

Tools

Kedro

SageMaker

Job description

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Data Scientist – Applied Immunology, Maidstone

Location: Maidstone, United Kingdom

Job Category: Other

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 various 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:

• 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 you need to respect the nuance.
• Think in systems: You naturally refactor, generalize, and leave things better than you found them.
• Care deeply 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, or containerized workflows (Docker, CI/CD).

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: We work with purpose and clarity—focused, deliberate, and resilient.
• Scientific integrity: We follow where the data leads, even when it challenges our assumptions.
• Platform mindset: We aim to solve problems once and scale them effectively across our workflows.
• Cross-disciplinary fluency: We bridge disciplines—data science, software engineering, immunology, and clinical research—to build solutions that make sense from all angles.

We value autonomy, avoid micromanagement, and stay grounded in results over hype. Insight and impact drive us.

How to apply:

Send us your CV and a short note about why this role feels right to you. If you have links to code, notebooks, or publications – great. If not, no problem. We care more about how you think than how polished your résumé is.

To apply, please send a cover letter and CV to: [email protected]. We do not accept unsolicited emails from recruitment agencies.

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