Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

TN United Kingdom; London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A leading company in genomics is seeking a Genomic Data Scientist in London. The role involves working on genome analysis projects, collaborating with researchers to develop advanced analysis methods and tools. Candidates should have strong programming skills in R and Python, a PhD in a relevant field, and experience with whole genome sequencing data. The position offers a comprehensive benefits package and a commitment to diversity and inclusion.

Benefits

30 days’ holiday plus bank holidays

Flexible working arrangements

Defined contribution pension with employer matching

Learning budgets and training support

Subsidised gym memberships

Qualifications

• Strong programming skills in R and Python.
• Experience with whole genome sequencing data.
• Background in human disease genetics.

Responsibilities

• Preparing data for analysis and quality control.
• Performing analyses on whole genome sequencing data.
• Contributing to scientific publications and presentations.

Skills

Programming

Statistical Genetics

Interpersonal Skills

Education

PhD in Statistical or Computational Genetics

Tools

R

Python

Nextflow

Job description

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Genomic Data Scientist (we have office locations in Cambridge, Leeds & London), London

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Client:

Genomics England

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

0b23a3768390

Job Views:

3

Posted:

17.05.2025

Expiry Date:

01.07.2025

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Job Description:

We are seeking a Genomic Data Scientist to join our Bioinformatics Consulting team to work on genome analysis and interpretation projects, focusing on rare or complex diseases, in collaboration with external researchers and industrial partners.

The role involves working within multidisciplinary teams to develop projects leveraging Genomics England datasets for drug target identification, biomarker discovery, diagnostics, and patient stratification.

You will contribute to the development and application of advanced analysis methods for genomic and multi-omics data, creating tools and pipelines for custom analyses, and producing high-quality reports and documentation.

Everyday responsibilities include:

• Preparing data for analysis, including quality control, annotation, aggregation, and harmonization across datasets.
• Planning and supporting analyses to achieve project goals, supporting internal teams and external collaborators, and serving as a reference for genomic datasets and analytical approaches.
• Performing analyses on whole genome sequencing and other omics data, such as GWAS, variant testing, meta-analysis, differential abundance, fine-mapping, and Mendelian Randomization.
• Researching scientific literature to identify new approaches, benchmarking tools, and improving analysis methods.
• Contributing to scientific publications, white papers, and conference presentations.

Skills and Experience for Success:

• Strong programming skills (R, Python) and a solid background in statistical genetics.
• Experience with whole genome sequencing data in human genetics.
• Background in human disease genetics, especially in rare or complex diseases, demonstrated through publications or industry experience.
• Experience with additional omics modalities (e.g., long-read sequencing, single-cell transcriptomics, proteomics, metabolomics).
• Proven expertise in human germline DNA analysis areas such as genetic association testing, population genetics, pharmacogenomics, rare disease genomics, structural variation, and complex regions like HLA/KIR/PGx.
• Experience working in the cloud, building containers, and running pipelines in Nextflow.
• Ability to communicate effectively with diverse stakeholders and understand clinical and phenotypic data sensitivities.
• Excellent interpersonal skills, attention to detail, self-motivation, collaboration, and delivery focus.

Qualifications

A PhD in Statistical or Computational Genetics, Biostatistics, Population Genetics, or a related quantitative discipline.

Additional Information

Salary from £55,000

We offer a comprehensive benefits package, including:

• Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and remote working options abroad.
• Family-Friendly Policies: Flexible working arrangements, enhanced maternity, paternity, and parental leave.
• Pension & Financial: Defined contribution pension with employer matching, life assurance, and donation schemes.
• Learning & Development: Learning budgets, training support, and professional subscriptions.
• Recognition & Rewards: Employee recognition programs and referral schemes.
• Health & Wellbeing: Subsidised gym memberships, Headspace, Employee Assistance Programme, eye tests, and flu jabs.

Commitment to Diversity and Inclusion:

Genomics England promotes an inclusive environment, respecting diversity regardless of disability, ethnicity, gender, religion, sexual orientation, or social background. We are committed to fair policies and non-discrimination, and we encourage applicants requiring adjustments to participate fully in the recruitment process.

Blended Working Model:

Our hybrid work model expects most employees to attend the office at least twice a month, with flexibility to design working patterns in collaboration with team leaders. Locations include Canary Wharf, Cambridge, and Leeds.

Background Checks:

Successful candidates will undergo a DBS check, and disclosure of any previous offences is required at application.