Python Work, Jobs in Cowley, Oxf (with Salaries)

Data Analyst
University of Oxford —Oxford
- £35,681 - £41,636 a year
- Full-time
- Data analysis skills
- Maths
- University
- Annual leave
3d
Computational Research Assistant
University of Oxford —Oxford
- £35,681 - £39,424 a year
- Data analysis skills
- Master's degree
- Bachelor's degree
3d
Software Engineer III (Python)
Elsevier —Oxford
- Full-time
- Computer Science
- Engineering
- Java
- Employee assistance programme
- Employee discount
8d
Software Engineer III (Python)
RELX —Oxford
- Full-time
- Computer Science
- Engineering
- Java
- Employee assistance programme
- Employee discount
8d
Data Scientist
University of Oxford —Oxford
- £39,424 - £51,983 a year
- Full-time
- Data analysis skills
- Master's degree
- Analysis skills
Junior Embedded Engineer (RTOS)
Lumai —Oxford
- Full-time
- Hybrid work
- Engineering
- C++
- Bachelor's degree
- Annual leave
Quick apply
7d
Research Assistant
University of Oxford TSS —Oxford
- £18.80 an hour
- Temporary
- Doctoral degree
- Master's degree
- Analysis skills
Post Doctoral Research Associate in Environmental Intelligence and Analytics for Decision Science
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Doctoral degree
- Python
- Annual leave
2d
SQL/ Python Developer
KBR —Swindon
- Full-time
- Hybrid work
- DevOps
- SQL
- Analysis skills
Junior Test Engineer
Electrogenos —Oxford
- Engineering
- Mechanical knowledge
- Python
Quick apply
Embedded Software Engineer
Archangel Lightworks —Oxford
- Full-time
- C++
- Linux
- Python
- Annual leave
- Work from home
Quick apply
Senior Python Cloud Developer
Oxford Nanopore Technologies —Oxford
- Full-time
- AWS
- JavaScript
- APIs
Imaging Scientist II
Perspectum —Oxford
- £45,000 - £55,000 a year
- Full-time
- Doctoral degree
- Master's degree
- Analysis skills
Quick apply
Software Engineer
Oxford Nanopore Technologies —Oxford
- Full-time
- AWS
- APIs
- Python
Artificial Intelligence Engineer - Naval Background
Oxford Dynamics —Oxford
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Flexible schedule
Quick apply
Scientist
Genomics —Oxford
- Full-time
- Hybrid work
- Python
- Annual leave
IT Operations and Network Engineer
Lincoln College - University of Oxford —Oxford
- £45,212 - £49,119 a year
- Customer service
- Scripting
- Computer networking
- Employee assistance programme
- Employee discount
Quick apply
3h
Data Engineer/Software Engineer
Nominet —Oxford
- Full-time
- Hybrid work
- Java
- SQL
- AWS
- Annual leave
- Employee assistance programme
Full Stack Developer
OrganOx —Oxford
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Software Applications Engineer
Mode Labs —Oxford
- £34,000 - £40,000 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- SQL
- Annual leave
Quick apply
9d

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Data Analyst

University of Oxford -
Oxford

Apply Now

Job details

Full-time | Fixed term contract
£35,681 - £41,636 a year
3 days ago

Benefits

Cycle to work scheme
Annual leave
Company pension

Qualifications

R
Data analysis skills
Maths
Bachelor's degree
Quality control
Python

Full job description

About the Role

You are invited to apply for the position of Data Analyst to join Professor James Chalmers’ research team at the University of Oxford.

Professor James Chalmers specialises in translational and clinical research on respiratory diseases, including bronchiectasis, COPD and pneumonia, with a focus on microbiology, immunology, disease mechanisms and therapeutic strategies. You will be expected to provide high quality technical assistance to Prof. Chalmers and the other members of the research team.

As a Data Analyst, you will work within a multidisciplinary team of researchers, medical professionals, study coordinators and collaborators on projects with direct patient impact. You will be supported by the group’s statistician and bioinformatician while assisting with data management and analysis for the EMBARC consortium (https://www.bronchiectasis.net/), translational studies, and wider group projects involving postdoctoral researchers and students.

You will provide analytical support, training, and guidance to members of the group on data handling, analysis workflows, and best practice in data management.

The successful candidate will be responsible for maintaining and organising research datasets within the team, and for preparing and distributing curated datasets for analysis by other members of the group. A strong understanding and application of data analysis principles, including data quality control, documentation, and reproducibility, will be essential.

You will apply established analytical methods, maintain awareness of their limitations and assumptions, and ensure high standards of quality and accuracy in all outputs.

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 BSc in a relevant quantitative discipline (e.g. bioinformatics, statistics, data science, computational biology, mathematics, or equivalent experience)

Demonstrable experience performing independent data analysis on complex datasets in a research or clinical environment

Strong applied knowledge of statistical and analytical methods, including appropriate selection, implementation, and interpretation of analyses

Experience working with large and complex biological and/or clinical datasets, including handling missing data, data cleaning, and quality control

Proficiency in at least one programming language used for data analysis (e.g. R or Python) and experience working with reproducible analytical workflows

Ability to independently produce high-quality analytical outputs (e.g. figures, tables, summary statistics, and datasets suitable for publication)

Understanding of good data governance practices, including secure handling of sensitive human data and adherence to relevant ethical and research governance requirements

Ability to interpret research questions and translate them into appropriate analytical approaches in collaboration with investigators and statisticians

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 08/07/ 2026 will be considered. Interviews will be held as soon as possible thereafter.

Apply Now

Refine Your Search

python jobs in cowley, oxf

Data Analyst

Computational Research Assistant

Software Engineer III (Python)

Software Engineer III (Python)

Data Scientist

Junior Embedded Engineer (RTOS)

Research Assistant

Post Doctoral Research Associate in Environmental Intelligence and Analytics for Decision Science

SQL/ Python Developer

Junior Test Engineer

Embedded Software Engineer

Senior Python Cloud Developer

Imaging Scientist II

Software Engineer

Artificial Intelligence Engineer - Naval Background

Scientist

IT Operations and Network Engineer

Data Engineer/Software Engineer

Full Stack Developer

Software Applications Engineer

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