Bioinformatics Data Scientist

Cyted Health; Cambridge; On-site; GBP 40,000 - 56,000; Full time

Job summary

Cyted Health seeks a Bioinformatics Data Scientist to support data science and analysis in their R&D team. This role focuses on understanding molecular data for GI diagnostics and involves collaborating with other scientists to create insights derived from datasets. Candidates should possess a relevant MSc or PhD, along with experience in data science and techniques for analyzing genomic data.

Benefits

25 days holiday per year plus public holidays

Pension scheme

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 after 4 years of service

Qualifications

• Strong understanding of data science from academia or industry.
• Experience in analyzing human genome sequencing/methylation/expression data.
• Familiarity with statistical analysis and machine learning techniques.

Responsibilities

• Support selection and development of new diagnostic biomarkers.
• Develop novel analytical and prediction tools.
• Provide expertise for analyzing human molecular datasets.

Skills

Data science

Statistical analysis

Machine learning

Problem solving

Programming (Python, R, BASH)

Education

MSc or PhD in Bioinformatics/Statistical Genetics/Computational Biology/Biostatistics/Mathematics/Physics

Job description

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This range is provided by Cyted Health. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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 here to 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science

• Industries

  Hospitals and Health Care

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