Bioinformatics Data Scientist

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.

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

1. Support the selection and development of new diagnostic biomarkers applying existing techniques and develop novel analytical and prediction tools where needed.
2. Provide statistical and machine learning expertise to the analysis of human molecular datasets.
3. Collaborate with other scientists internally and externally to create new insights into GI disease and keep up to date with progress in the field.
4. Communicate their work through discussions, team reports, and scientific publications.

How we work

1. We use agile methods and are committed to continuous improvement.
2. We value user engagement.
3. We are committed to quality with a strong testing culture.

Person Specification

1. You have a MSc or PhD in Bioinformatics/ Statistical Genetics / Computational Biology / Biostatistics / Mathematics / Physics.
2. 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.
3. You have expertise analysing human genome sequencing/methylation/expression data.
4. You use programming appropriate for large-scale molecular data analysis (e.g., Python, R, BASH) and applied statistics.
5. You have a solid background in Upper GI disease and/or cancers.
6. You understand statistical analysis and machine learning techniques.
7. You are resourceful.
8. You are curious.
9. You can demonstrate initiative.
10. You are not afraid to try new things.
11. You enjoy solving problems.

Benefits

1. Salary in the range of £40,000 to £56,000 per annum depending on your skills and experience.
2. 25 days holiday per holiday year, plus public holidays.
3. Pension scheme.
4. An annual learning and development budget.
5. Medical insurance including dental and optical cover.
6. Life/critical illness cover.
7. Social events including Christmas and Summer parties.
8. Cycle to work scheme.
9. Electric Vehicle Scheme.
10. Sabbatical after 4 years of service.