Data Scientist
STFC Rutherford Appleton Laboratory, Harwell, Oxfordshire
£36,033 - £43,164 (dependent upon qualifications and experience)
2 Years Fixed Term
About Us
The Science and Technology Facilities Council (STFC) is a publicly funded organisation responsible for supporting, co-ordinating and promoting research, innovation and skills development. Our uniqueness lies in the breadth of our remit and the sheer diversity of our portfolio, as we harness our world-leading expertise, facilities and resources to drive science and technology forward.
STFC’s Central Laser Facility (CLF) provides scientists from the UK and Europe with an unparalleled range of state-of-the-art laser technology.
About the role
The CLF’s OCTOPUS Facility is a pioneering new concept in biomedical research which rallies expertise, techniques and infrastructure to generate and exploit data for understanding biological processes at the molecular level from cells to single molecules.
We have an opportunity for an experienced Scientific Programmer / Researcher to fill the role of Data Scientist developing algorithms and software for effective exploitation of OCTOPUS biological imaging data. They will join the multidisciplinary OCTOPUS team which has strong collaborations with astronomers and engineers at Cambridge University and cancer biologists at King's College London. The successful candidate will play a leading role in developing, and applying new algorithms and software critical to the effective exploitation of OCTOPUS single molecule microscopy data. They will be a core member of a research team focussed on key cancer research challenges and the application of these methods to other fields through the OCTOPUS facility user programmes.
Typical duties will include:
• Development, implementation, testing and delivery of algorithms, software and methodologies for a variety of OCTOPUS experimental end-to-end workflows including single molecule tracking and super resolution methods.
• Development of methods to automate key workflows increasing throughput and potential for translation of methods to the clinic
• Providing data analysis expertise as a key member of multidisciplinary research teams
• Supporting OCTOPUS scientists with exploitation of their data, and capturing their requirements for future improvements to capabilities
• Effective data management
The successful candidate will disseminate their work through publications in scientific journals and presentations at conferences.
There will be a requirement for occasional travel, including internationally.
About you
Suitable candidates will hold a PhD or equivalent experience in a relevant discipline.
You should have extensive experience in scientific software/algorithm development in C++ and/or Python, including development and application of quantitative image/data analysis algorithms and a thorough understanding of statistical methods.
You will have experience of the Linux development environment and be familiar with best practice for robust software development.
Further experience in some of the following areas would be an advantage:
• machine learning methods and data mining
• high performance computing, parallelisation and GPU computation
• algorithm optimisation
• Bayesian analysis
• biological imaging
• scientific research in a multidisciplinary environment
• management and storage of scientific data
Candidates should be self-motivated, confident to challenge on technical issues, and demonstrate good communication skills to work with scientific peers and non-specialists.
Benefits
We have an emphasis on training and a commitment to continued professional development.
An excellent index linked pension scheme, 30 days leave allowance and flexi-time are offered. A relocation allowance may also be available where applicable.
The closing date for applications is 02 August 2015, however, we encourage early applications as some candidates may be interviewed before this date. For further details please contact Daniel Rolfe,
[email protected].
