We are looking for a PIPS intern with a strong interest in programming to work in the ConsoneAI team, developing the platform and delivering accuracy in prediction for clients.
The intern will be required to review and technically evaluate similar public models (examples TBC) and apply to ConsoneAI data. You will be required to set up and implement the technical machine learning (ML) model ensuring integrity of output and best practice in developing the ML, assess these existing tools for value to embed or enhance our technology and review public literature and compare outputs.
Candidate requirements
Essential:
- Experience of programming with Python and R.
- BSc in biology or a related subject
- Excellent communication skills
Desirable
- Good knowledge of clinical process
- Knowledge of Chemistry/Biomedical Sciences
Placement
This opportunity is expected to be fulfilled remotely by a candidate with access to their own computer and internet, supported by in person meetings in York with the ConsoneAI Team. The candidate will develop their coding skills and apply this to data visualization, integration, and analysis problems to help improve the functionality of the tool. Experience in teamwork, time management and customer facing communication will be gained. There may also be opportunities to contribute to publications in this role.
Application Details
Please submit your application and cover letter to admin@consoneai.co.uk.
Please contact ConsoneAI Operations Manager Bruce Swan for informal enquiries bruce.swan@consoneai.com.
The deadline for applications is Friday 20th September.