Health Data Scientist

TN United Kingdom; Oxford; On-site; GBP 30,000 - 50,000; Full time

Job summary

An innovative organization seeks a well-organized individual passionate about programming and data analysis. This role involves managing complex datasets generated from a significant health project, focusing on pressing health issues in underserved populations. Collaborating with a multidisciplinary team, you'll develop rigorous research skills while utilizing quantitative methods to tackle novel biomedical challenges. If you're eager to make a meaningful impact through data, this opportunity is perfect for you.

Qualifications

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

Responsibilities

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

Skills

Data Analysis

Programming

Data Wrangling

Statistical Analysis

Machine Learning

Education

MSc in Life Sciences

MSc in Mathematics

MSc in Computer Science

MSc in Physics

MSc in Engineering

Tools

R

Python

Job description

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We are seeking

A well-organised individual with a strong interest in programming, data analysis, and quality control. You will be responsible for managing highly dimensional data (spatial-temporal, images, biomedical datasets, etc.) generated from the SchistoTrack Cohort in Uganda. Your support will include data wrangling, programming, and data analysis to assist the Oxford and Uganda teams.

This role offers an exciting opportunity to work with diverse data types, address pressing health issues affecting some of the world's poorest populations, and develop rigorous research skills within a multidisciplinary team employing quantitative methods to solve novel biomedical problems.

Minimum qualifications:

• A strong degree in life sciences, mathematics, or a related computational field such as computer science, physics, or engineering (MSc level).
• Experience with R or Python for data manipulation, statistical analysis, or machine learning.