Health Data Scientist

University of Oxford; Oxford; On-site; GBP 34,000 - 41,000; Full time

Job summary

An exciting opportunity awaits a health data scientist to tackle pressing issues related to poverty through innovative data analysis. This role involves managing complex datasets and collaborating with a multi-disciplinary team to develop quantitative solutions to biomedical challenges. Join a dynamic environment where your programming and analytical skills will contribute to impactful research, benefiting some of the most disadvantaged communities globally. This full-time position offers a chance to enhance your expertise while addressing significant health concerns, making a real difference in the world.

Qualifications

• Strong degree in life sciences, mathematics, or related computational subject.
• Experience with R or Python for data manipulation and analysis.

Responsibilities

• Manage unique, highly dimensional data from the SchistoTrack Cohort.
• Support data wrangling, programming, and analyses for Oxford and Uganda teams.

Skills

R

Python

Data Analysis

Statistical Analysis

Machine Learning

Education

MSc in Life Sciences

MSc in Mathematics

MSc in Computer Science

MSc in Physics

MSc in Engineering

Job description

We have an exciting opportunity for a health data scientist to work on a disease of poverty and big data. We are seeking a well-organised individual with a strong interest in programming, data analyses, and quality control. You will be responsible for helping to manage the unique, highly dimensional data (spatial-temporal, images, biomedical datasets, etc.) generated from the SchistoTrack Cohort in Uganda. You will supply support through data wrangling, programming, and data analyses to the wider Oxford and Uganda teams. This post provides an exciting opportunity to work with diverse data types, address pressing issues affecting some of the poorest individuals worldwide, and to gain rigorous research skills by joining a multi-disciplinary team employing quantitative approaches to novel biomedical problems.

To be considered, you must hold a strong degree in life sciences, mathematics, or a related computational subject such as computer science, physics, or engineering to the level of MSc. You will have experience of using R or Python for data manipulation, and statistical analysis or machine learning.

You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.

Informal enquires should be addressed to Dr Goylette Chami ([e-mail]). Further particulars, including details of how to apply, can be obtained from the document below.

This is a full time, fixed term post for 1 year.

The closing date for applications is noon on Monday 12 May 2025.

Contact Person :

HR Recruitment

Vacancy ID :

179066

Contact Phone :

Closing Date & Time :

12-May-2025 12:00

Pay Scale :

RESEARCH GRADE 6

Contact Email :

[e-mail]

Salary (£) :

£34,982 - £40,855 (including Oxford Weighting Allowance)