Biomedical Data Scientist — Imaging & ML Innovation

Perspectum Ltd; Oxford; On-site; GBP 60,000 - 90,000; Full time

Job summary

Perspectum Ltd in Oxford is seeking a Data Scientist to develop methods that accelerate and scale workflows, applying machine learning to improve data use across the company. You will maintain deep learning models behind Perspectum’s automated image analysis capabilities and work with research teams to run core algorithms at scale.

You will collaborate with product management, software engineering, and internal/external researchers, contribute to scientific manuscripts and patents, and help

Qualifications

• Bachelor’s degree in a relevant scientific field
• Strong grounding in mathematics/sciences
• Interest in applying research to biomedical problems
• Good oral and written communication skills
• Ability to work independently and as part of a team
• Good organisational skills
• Experience in artificial intelligence / machine learning / data science
• Experience in prototype coding (e.g. Python, MATLAB)
• Understanding of the importance of algorithmic validation

Responsibilities

• Carry out research into relevant data science algorithms
• Improve data science algorithms through empirical investigation and fine tuning
• Read and understand technical reports and algorithm specifications
• Develop proof-of-concept and prototype software
• Keep up to date with advances in data science, through team discussion meetings and conference attendance

Skills

Data science

Machine learning

Python

MATLAB

C++

Communication skills

Education

Bachelor's degree

Master's degree

PhD

Tools

Python

MATLAB

C++

Job description

Perspectum Ltd in Oxford is seeking a Data Scientist to develop methods that accelerate and scale workflows, applying machine learning to improve data use across the company. You will maintain deep learning models behind Perspectum’s automated image analysis capabilities and work with research teams to run core algorithms at scale.

You will collaborate with product management, software engineering, and internal/external researchers, contribute to scientific manuscripts and patents, and help