Computational Research Scientist London, England
Job description
Cambridge Phenotyping is a high-tech spin-off of the University of Cambridge that creates unbiased, fully automated solutions for characterising animals’ behaviour, which will transform in vivo preclinical research and accelerate the quest for a cure for multiple brain diseases such as Alzheimer’s, Parkinson’s, Schizophrenia, Depression and Chronic Pain. Data science is a key part of these solutions. As a Computational Research Scientist, you will analyse multi-dimensional behavioural datasets (ethograms) from various neuroscience applications, working alongside experimenters and software engineers to deliver important translational insights for pharma, biotech and basic science research programs. You will participate in shaping data analytics culture across the company and in developing and prioritising computational advances that unlock the power of smartKage data. You will use your knowledge and experience in the field to prioritise identification and productization of broadly applicable computational methods that will improve the efficiency, power, and accessibility of data analytics at scale in both academia and industry. If you enjoy doing preclinical neuroscience research and want to use your computational skills to have a practical and important part in building analysis tools to help others at scale, this could be the right role for you.
Key Responsibilities
- Collaborate with our neuroscientists and engineers to develop innovative products and analyses of large-scale video & time-series data
- Lead external neuroscience data analysis collaborations in industry and academia.
- Create and build exploratory analyses and reports on novel and existing algorithms to analyse high-dimensional animal behaviour datasets.
- Assist with integrating new data processing algorithms into existing software products.
- Connect insights from analysis of brain imaging data to biological meaning and suggest experimental and scientific directions for future studies.
Your qualifications
- PhD in neuroscience, physics, bioinformatics, math, statistics, computational biology/genomics, or related field. Strong neuroscience knowledge and working experience if the degree is not neuroscience focused.
- Experience designing data visualisations and crafting intuitive figures, presentations, and papers to communicate scientific findings to a broad audience.
- Deep expertise coding and programming in Python and/or Matlab which includes manipulating, analysing, and visualising data.
- Broad exposure to many analysis methods and statistical approaches including machine learning models and data visualisations for customer-facing products.
- Enjoys working on a team and applying complex data analysis and machine learning techniques to answer neuroscience questions.
Location
Hybrid preferred, remote considered. We would strongly prefer this person be UK based to facilitate in-person interaction with the team members and collaborators.
What’s on offer?
- A competitive compensation package based on the relevant experience
- Shares
- Bonus scheme
- Hybrid working arrangements
- Professional Development Opportunities
- Cycle to work scheme
- Free Tea, Coffee, Fruit
- Free parking
The position is part-time (50% FTE) in the first instance moving into the full time post after 6-12 months.
Job Types: Part-time, Permanent
Salary: £45,000.00-£55,000.00 per year
Benefits:
- Employee stock purchase plan
- Flexitime
- On-site parking
- Work from home
Schedule:
- Flexitime
- Monday to Friday
Supplemental pay types:
- Performance bonus
- Yearly bonus
Ability to commute/relocate:
- London: reliably commute or plan to relocate before starting work (preferred)
Experience:
- programming: 5 years (preferred)
Work Location: Hybrid remote in London
