Bioinformatics Data Scientist

Company : Cyted Health

Job Type : Full Time

Cambridge

Number of Applicants

000+

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Job Description - Bioinformatics Data Scientist

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.
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.

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

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

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

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

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Bioinformatics Data Scientist

Job Description - Bioinformatics Data Scientist

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