Data Scientist

Job Description

The Data Scientist helps develop methods to accelerate and scale new and existing workflows, leveraging machine learning techniques for improved use of data across the company. They maintain the deep learning models behind much of Perspectum’s automated image analysis capabilities while also working closely with other research teams to run Perspectum’s core algorithms at scale. Their work supports teams across the organisation in internal research, business intelligence, clinical, and CRO work.

Duties and Responsibilities

Essential

• 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

Desirable

• Implement and extend state-of-the‑art data science algorithms
• Write technical reports and algorithm specifications
• Contribute to scientific manuscripts, patents and grant applications
• Make presentations showcasing the work of the Group
• Collaborate with product management and software engineering teams on product development
• Collaborate with internal research teams and on external research collaborations
• Strengthen the interfaces with other Groups in Perspectum

Person Specification

Essential

• Bachelor’s degree in a relevant scientific discipline
• Solid grounding in mathematics/sciences
• Evidence of an interest in the application of 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

Desirable

• Master’s degree in a relevant scientific discipline, or relevant technical experience
• PhD in a relevant scientific discipline, or substantial technical experience
• Experience with medical imaging
• Experience with cloud computing
• Evidence of research achievement
• Experience in software engineering (e.g. C++, Python)
• Experience of algorithmic validation and documentation in support of regulatory submissions

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