Bioinformatics Data Scientist Cambridge, East of England, England
Job description
Job Summary
The Bioinformatics data scientist will support the data science and data analysis needs in our Research and Development team to understand molecular and/or image-based data in our GI projects. 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 cancer diagnostics and clinical risk prediction.
Working Pattern and Location
This role is a full-time position with a standard 37.5 hour working week. However, the position could be filled through a job-sharing arrangement and there are opportunities to work flexibly.
You will be based at the Cyted’s Head Office, 22 Station Road, Cambridge, United Kingdom, CB1 2JD. We actively encourage travel and working from our other business sites to ensure you get to meet the team and understand what the different areas of the business do. We will support you with transport 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
- 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 / Bioinformatics / Biostatistics / Mathematics / Physics
- You have a strong understanding of data science, either through experience in an academic or industry position
- You use programming appropriate for large-scale molecular data analysis (e.g., Python, R, BASH)
- 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's mission is 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, first focused on esophageal cancer with the capsule sponge test. Our technologies use artificial intelligence and novel biomarkers to unlock clinical insight and improve patient outcomes.Our products are designed to empower practitioners and patients at the heart of our services.
We are committed to inclusion and diversity and believe that having a team that reflects a broad range of experiences and perspectives will help deliver diagnostic solutions for our customers that lead to the best outcomes for patients. We especially encourage applications from people who are underrepresented in the population and/or who have non-traditional education or career experiences.
We interview on a rolling basis, starting with a brief call to discuss what we're doing and whether it resonates with you.
