Data Scientist – Applied Immunology

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

Job summary

A leading biosciences company seeks a Data Scientist specializing in applied immunology in Woking. The role involves designing and scaling processes to extract insights from complex immune data, working closely with scientists and contributing to innovative data solutions. Ideal candidates will have strong experience in data science and a passion for biological data analysis.

Qualifications

• 2–5 years of experience in applied data science or ML engineering.
• Ability to write clean and reproducible code.
• Experience with real-world ML models, particularly classification or regression.

Responsibilities

• Own and evolve data pipelines in Python and R.
• Contribute to ML modeling projects for disease outcomes.
• Collaborate with internal scientists for data interpretation.

Skills

Python

Machine Learning

Data Analysis

Statistical Modeling

Education

Degree in Data Science, Computer Science, or related field

Tools

Kedro

AWS/SageMaker

Docker

Job description

Data Scientist – Applied Immunology, Woking

Location: Woking, 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 will be part of a team that spans discovery biology, statistical modeling/machine learning, and software engineering, with direct exposure to 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:

• Understanding immune variation between individuals and its contribution to disease outcomes
• Unifying and exploiting 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 using ML to identify immune signatures of disease or treatment outcomes
• Support internal tools connecting 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 components of our immune analytics platform (e.g., prediction, signature interpretation, batch and drift monitoring and correction)
• Help shape standards for data documentation, reproducibility, and metadata management
• Potentially own specific domains such as model validation, ontologies, or scientific interfaces

You Might Be a Fit If You:

• Have 2–5 years experience in applied data science or ML engineering, preferably in life sciences or health data
• Write clean, reproducible Python and understand workflow tools like Kedro, Dagster, or similar platforms
• Have built and evaluated ML models for real-world use cases, especially classification or regression with limited samples
• Are excited by biological complexity and respect its nuances
• Think in systems: refactor, generalize, and improve existing code and processes
• Care about scientific rigor, traceability, and experimental design

Bonus Skills (not required):

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

What It’s Like to Work Here

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

• Calm intensity: Working with purpose, clarity, and resilience
• Scientific integrity: Following data wherever it leads
• Platform mindset: Solving problems once and scaling solutions
• Cross-disciplinary fluency: Bridging data science, engineering, immunology, and clinical research

We value autonomy, results, and impact over micromanagement.

How to Apply

Send your CV and a brief note about why this role suits you. Include links to code, notebooks, or publications if available. We value how you think over polished resumes.

Apply by sending your 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/