Job Summary
The Bioinformatics data scientist will support the data science and data analysis needs in our Research and Development team to understand molecular data in our GI projects and develop diagnostic products. This role will be responsible for identifying and analysing appropriate public molecular datasets including genomics, methylation, or gene expression data and integrating it with internal molecular datasets to answer specific questions in GI disease diagnostics and clinical risk prediction.
Please note, we are unable to provide sponsorship for this role.
Working Pattern and Location
The role is a full-time/part-time position with a 18.75-37.5 hour working week.
The Bioinformatic data scientist will be based at the Cyted’s Head Office, Ground floor Building 3, Old Swiss, 149 Cherry Hinton Road, Cambridge CB1 7BX.
The Bioinformatic data scientist may need to visit other company sites when and if required.
What you will be doing
- Support the selection and development of new diagnostic biomarkers applying existing techniques
- Develop novel analytical and prediction tools where needed
- Provide statistical and machine learning expertise to the analysis to human molecular datasets
- Collaborate with other scientists internally and externally to create new insights into GI disease and keep up to date with progress in the field
- Communicate their work through discussions, team reports, and scientific publications
How we work
- We use agile methods and are committed to continuous improvement
- We value user engagement
- We are committed to quality with a strong testing culture
Person Specification
- You have a MSc or PhD in Bioinformatics/ Statistical Genetics / Computational Biology / Biostatistics / Mathematics / Physics
- You have a strong understanding of data science, either through experience in academia through a PhD or a minimum of three years industry experience post MSc
- You have expertise analysing human genome sequencing/methylation/expression data
- You use programming appropriate for large-scale molecular data analysis (e.g., Python, R, BASH) and applied statistics
- You have a solid background in Upper GI disease and/or cancers
- You understand statistical analysis and machine learning techniques
- You are resourceful
- You are curious
- You can demonstrate initiative
- You are not afraid to try new things
- You enjoy solving problems
Benefits
- Salary in the range of £40,000 to £56,000 per annum depending on your skills and experience.
- 25 days holiday per holiday year, plus public holidays
- Pension scheme
- An annual learning and development budget
- Medical insurance including dental and optical cover
- Life/critical illness cover
- Social events including Christmas and Summer parties
- Cycle to work scheme
- Electric Vehicle Scheme
- Sabbatical 4 years of service
About us
Cyted is on a mission to build a world where disease is prevented rather than treated. We focus on providing innovative diagnostic technologies to drive the earlier detection of disease in the gastrointestinal tract, first focused on oesophageal cancer (and its precursor Barrett’s oesophagus) with a non-endoscopic, minimally-invasive test.
Headquartered in Cambridge UK, we lead the way in groundbreaking diagnostic technology, enhancing patient care for those at risk of early and advanced disease. We are on the lookout for talented individuals eager to make a meaningful impact. We strongly encourage applications from underrepresented groups and those with unconventional educational or career backgrounds.
Our core product is the minimally invasive EndoSign test. The test is a combination of a simple device coupled with laboratory biomarkers to detect oesophageal cancer and its precursor Barrett’s oesophagus. Click hereto find out more.
We offer a dynamic work environment for career growth and skill diversification. Alongside your core role you can gain experience on projects throughout the company, and contribute your opinions and ideas. Our commitment to inclusion and diversity drives us to embrace varied perspectives, promoting diagnostic excellence, user-friendly software, and superior patient outcomes.
We interview on a rolling basis, starting with a brief call to discuss what we’re doing and whether it resonated with you.
