Data science Work, Jobs in Reading, Eng (with Salaries)

Bioinformatician
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Doctoral degree
- University
- Annual leave
Database Manager and Scientific Programmer
University of Reading —Reading
- £36,636 a year
- Full-time
- Research
- Analysis skills
- University
1d
Analyst, Quality Control, Microbiology
Moderna, Inc. —Oxford
- Full-time
- Bachelor's degree
- In-person
- Annual leave
3d
Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
Machine Learning Scientist
University of Oxford —Oxford
- £39,424 - £43,984 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Software development
Scientific Data Engineer - Product Safety
Syngenta Crop Protection —Bracknell
- Full-time
- Life insurance
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Data Integration Geoscientist
Halliburton —Abingdon
- Full-time
- Machine learning
- AI
- Communication skills
Senior Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Research
- Annual leave
- Employee assistance programme

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Bioinformatician

University of Oxford -
Oxford

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Job details

Full-time | Fixed term contract
£39,424 - £47,779 a year

Benefits

Cycle to work scheme
Annual leave
Company pension

Qualifications

Doctoral degree
Git
Statistical analysis
Multidisciplinary collaboration
Bioinformatics

Full job description

About the role

This role is based in Radcliffe Department of Medicine and the role reports to Professor James Chalmers (Rhodes Professor of Experimental Therapeutics and Clinical Pharmacology).

Prof. James Chalmers at the University of Oxford specialises in translational and clinical research on respiratory diseases, including bronchiectasis, COPD and pneumonia, with a focus on immunology, infection, mucociliary clearance, disease mechanisms and therapeutic strategies.

As a bioinformatician, you will work within a multidisciplinary team of researchers, medical professionals, study coordinators and collaborators on projects with direct patient impact. You will support bioinformatics analyses across multiple translational clinical trial and research projects, embedded within studies led by the PI and researchers within the team, national and international collaborators, and members of the EMBARC consortium (https://www.bronchiectasis.net/bridge/).

The postholder will primarily provide bioinformatics expertise, training and analytical support across a portfolio of projects led by the Principal Investigator, research staff, students and collaborators. Data types include human and bacterial whole genome sequencing, metagenomics, metatranscriptomics, proteomics, 16S sequencing, transcriptomics and epigenetics. Experience in integrated multi-omic analysis and patient-based data, including dealing with missing data, is essential.

You will maintain up-to-date knowledge of analytical methods, demonstrate awareness of their limitations and assumptions, and ensure high standards of quality and accuracy in all outputs. You will also contribute to methodological innovation and support adoption of new tools and technologies within the group.

This post is full-time and fixed term for 2 years

The post is only available as full-time on-site.

About You

To be considered for this position you should;

Hold a relevant PhD/DPhil (or near to completion) or equivalent experience in bioinformatics, computational biology, or a related field

Proven experience analysing and integrating multi-omics datasets, such as human whole genome sequencing, metagenomics, proteomics, transcriptomics and/or epigenetic data

Strong programming skills in at least one language (e.g. R or Python) and experience working in a command-line/Linux environment

Experience using statistical methods for biological and clinical data analysis, including handling confounding, batch effects, and multiple testing

Ability to interpret complex raw biological data, perform statistical analyses, and communicate results clearly through reports and presentations

Demonstrated experience working with sensitive human genomic and/or clinical data in accordance with data governance, ethical approval, and information security requirements, including secure and reproducible data handling

Experience with reproducible and version-controlled analysis workflows (e.g. Git and/or workflow management systems such as Nextflow or Snakemake)

Ability to work collaboratively across multiple concurrent projects, including with students and postdoctoral researchers, and to manage competing priorities and deadlines

About the Radcliffe Department of Medicine (RDM)

The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford. RDM is a multi-disciplinary department which aims to tackle some of the world’s biggest health challenges by integrating innovative basic biology with cutting edge clinical research.

Benefits of working

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:

An excellent contributory pension scheme

38 days annual leave

A comprehensive range of childcare services

Family leave schemes

Cycle loan scheme

Discounted bus travel and Season Ticket travel loans

Membership to a variety of social and sports clubs

Application Process

Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application. The supporting statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for more information and advice on how to write an effective supporting statement.

Only applications received before 12:00 midday on Monday 17/08/2026 will be considered. Interviews will be held as soon as possible thereafter.

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data science jobs in reading, eng

Bioinformatician

Database Manager and Scientific Programmer

Analyst, Quality Control, Microbiology

Machine Learning Scientist

Machine Learning Scientist

Scientific Data Engineer - Product Safety

Data Integration Geoscientist

Senior Machine Learning Scientist

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