Microgenetics exists to help humankind win the war against pathogens. We identify problems in microbiology that were previously impossible to solve and develop new technology to solve them. We are an exciting start-up backed by the UK’s fastest growing pharmaceutical company (Qualasept Pharmaxo Holdings Limited), aiming to revolutionise microbiology.
We are currently working with partners in the pharmaceutical manufacturing and veterinary diagnostics sector to develop our products:
- SmartControl: Environmental monitoring software that seamlessly captures images of every sample to ensure data integrity with zero capital expenditure.
- SwiftDetect: A rapid test that can detect the presence or absence of a single cell in a large volume in under six hours, using our hybrid PCR technology.
Who we’re looking for
We are looking for a passionate and talented data scientist to join our growing team to help us become the world leaders in applying artificial intelligence techniques to microbiological data. We have already started building a large dataset and wish to generate insights that will delight our customers. Your creativity and love of problem solving will be essential skills to succeed in this role. As part of working for a start-up, the role will be varied and is likely to evolve as we grow, and you will have a high level of responsibility and ownership in your role.
What you’ll do
The data scientist will work in close collaboration with other scientists in the team and Microgenetics management. Your role will report directly in to the Head of Operations.
- Working with our microbiologists, take diverse internal and external data (often time series related) and identify key features that can be used to learn insights such as trends, outliers and seasonalities
- Design and implement algorithms that allow us to automate the detection of these insights
- Present insights to users in the most appropriate, understandable, format
- Work with the software development team to integrate your researched methods into our product releases
- Support in developing all Microgenetics products and pro-actively contribute ideas for future product development
- Suggest novel techniques for collecting and interpreting data
What we’re looking for
- A PhD in a highly quantitative subject such as maths, engineering or computer science. Exceptional Masters graduates will also be considered dependant on experience.
- Two plus years of data science-related work with a focus on implementation
- Experience with common programming languages (e.g. Python, R, C/C++, Java, Matlab) and data science libraries
- Experience with time-series based data science, for example, ARIMA and Kalman filters
- Excellent analytical and problem-solving skills
- Excellent oral, interpersonal and written communication skills. Ability to build rapport quickly and communicate technical issues to non-technical users.
- Initiative, innovative creativity and tenacity to achieve objectives and overcome obstacles
- Organisation skills – comfortable working flexibly under pressure to handle multiple projects and deadlines
Even better if you have…
- Knowledge of software delivery methodologies, including agile development
- Experience with data visualisation techniques
- Experience with microbiology
What you’ll get
- Competitive salary depending on experience
- 21 days holiday + 8 days bank holiday (increasing with service)
- Generous company pension scheme
- Life assurance
- Company bonus scheme (dependent on profit goals)
- Free breakfast and outdoor gym
Microgenetics is based in a new science park development in Corsham in the beautiful Wiltshire countryside, with easy commutes from Bath, Bristol and Chippenham.
Come and join us in revolutionising microbiology.
If you would like more information about this position or would like to apply with covering letter and CV, please email firstname.lastname@example.org. Your covering letter should include a link to a portfolio of relevant work if available.
Closing date for applications is Monday 10th June 2019. Interviews will take place on Wednesday 19th June 2019. You will be contacted by Wednesday 12th June 2019 if you have been shortlisted for an interview.