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Research Scientist

Experience level: Mid

Tech stack used: Python, AWS

Primary skills we consider: Python, Sklearn

Secondary skills we consider: AWS, Tensorflow, PyTorch, Fastai

Compensation: £40,000 – £60,000

Employment Type: Permanent

Remote working: On-site

Visa sponsorship: Available

About us

Machine Medicine Technologies (MMT) uses computer vision and computational statistics to enhance the neurological assessment of patients. Our first product, KELVIN, allows motor assessments in Parkinson’s disease to be performed, recorded and used both faster and better than has ever previously been possible. KELVIN-PD is already in use at clinical sites across several countries and possesses a CE mark, being a class-I medical device. MMT aims to build the platform into a generalised tool for patient selection, surgical planning and device programming for machine brain interfacing, a revolutionary therapeutic innovation.

Culture

A fast-moving startup, with an energetic and dynamic team, looking to disrupt the MedTech industry with AI. Our employees are encouraged to take on the sort of career development opportunities that cannot be found at larger, more established, companies. We are in the highly regulated medical device industry, so our engineering team has to have an even greater focus on quality, usability and versatility. We also like to blow off steam, whether that’s playing a few rounds of table tennis in the office, or arranging an online gaming session. 

Company Benefits

  • Competitive salary
  • Employee equity programme
  • Pension
  • 25 days annual leave (+8 bank holidays)
  • Offices close to London Bridge, Bermondsey Street and Borough Market

About you

You are an ambitious and capable PhD research scientist in computational statistics and machine learning, with a solid publication record and several years post-PhD experience in industrial or academic labs. You are conversant with the relevant branches of mathematical statistics, including Bayesian inference, MCMC and time series analysis. Previous work in a biomedical sector would be beneficial but not mandatory. You care about impact and want to do work that matters.

List of main duties and responsibilities:

  • Applying statistical and ML techniques to measure biomarkers
  • Conducting research and authoring academic papers 
  • Deploying code into a production environment
  • Contributing to our research strategy
  • Keeping up to date with relevant research

Skills

  • Academic publication authorship (biomedical domain would be preferable)
  • Good communication and data visualization skills
  • Strong understanding of statistical and ML techniques (experience with Computer Vision would be beneficial)
  • Strong coding skills in Python, and experience with commonly used data science libraries (sklearn, pandas, numpy)
  • Experience with deep learning frameworks (Tensorflow, PyTorch, Fastai) is beneficial but not necessary
  • Familiar with git, bash and coding best practices
  • Familiarity with AWS (EC2, S3) is beneficial but not necessary

Experience

  • Publication record
  • 1+ years post-PhD experience

Qualifications

  • PhD in computational statistics and machine learning

Job reference no. RS350

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