Genomics Research Scientist in Edinburgh

Turn genomic research into meaningful, clinically useful insight

Regenerus Labs is shaping the future of personalised healthcare.

We're an all-in-one platform and trusted practitioner community, helping healthcare professionals deliver faster, more accurate and evidence-based care.

With a portfolio of more than 150 tests, we provide diagnostic lab testing, digital tools, education and clinical support to functional and integrative health practitioners across the UK.

As we continue to develop our clinical reporting capabilities, we're looking for a

Genomics Research Scientist to join our team in Edinburgh.

This is an opportunity to take complex genomic research beyond the literature and help determine how it can be used responsibly and meaningfully in clinical reporting.

You'll lead the research pipeline for identifying, evaluating and validating genes for inclusion in current and future Regenerus Clinical Reports - ensuring every marker we include has a clear and defensible evidence base.

You'll also contribute to the development of our in-house risk-scoring methodology and biological pathway diagrams, with the potential for your work to extend into areas including pharmacogenomics and diagnostic and cancer-related genes as our report portfolio develops.

What you'll be doing

At the heart of the role is the critical evaluation of genomic evidence.

You'll investigate variant-trait associations, assess the strength and quality of published research and determine whether markers meet the evidence threshold for clinical reporting.

You'll

• Conduct literature reviews and critically appraise evidence relating to nutrigenomic and, where relevant, pharmacogenomic variant-trait associations.
• Evaluate SNP-based association studies and GWAS research to determine the strength and clinical relevance of findings.
• Apply structured approaches to evidence grading when determining whether markers should be considered for inclusion in clinical reports.
• Produce and maintain clear, referenced scientific rationale documents supporting marker selection and report content.
• Translate complex genomic literature into accurate, accessible and actionable content that healthcare practitioners can use in practice.
• Contribute to decisions around risk tiering, effect sizes and the interpretation of multiple genetic variants.
• Help develop and validate the logic behind our in-house gene-weighting and risk-scoring model, including the use of odds ratios and beta coefficients from GWAS.
• Monitor emerging literature for new SNP associations, replication studies and relevant pathway research.
• Develop biological pathway diagrams to communicate complex relationships clearly.
• Independently manage research projects from initial scoping through to delivery against the wider report roadmap.
• Collaborate with colleagues where markers and evidence overlap across different areas of research.
• As our report suite develops, potentially extend this work into pharmacogenomics and diagnostic or cancer-related genes.

What we're looking for

You'll have a strong grounding in genetics, genomics or a closely related scientific discipline , but just as importantly, you'll know how to interrogate the evidence behind an association.

You'll be comfortable working with SNP-based association studies and GWAS research and understand the statistical concepts needed to judge the strength and relevance of the evidence.

And you'll be able to do something particularly important for this role:

translate complex science without losing its meaning .

You'll bring

• A Master's or Ph D in genetics, genomics, molecular biology, biochemistry, nutrition science, biology or a closely related discipline.
• A solid understanding of SNP-based association studies and GWAS interpretation.
• Working knowledge of biostatistics, including effect sizes, confidence intervals, p-values, multiple-testing correction and odds ratios.
• Familiarity with bioinformatics approaches used for variant annotation, pathway analysis or genomic data handling.
• The ability to interpret outputs from tools or approaches such as ANNOVAR, VEP, R or Python - although hands on coding isn't essential.
• Familiarity with nutrigenomics literature and some knowledge of pharmacogenomics.
• Experience independently managing research projects and competing priorities.
• Excellent scientific writing and documentation skills.
• The ability to turn technically complex research into clear, structured and actionable information.

Experience within clinical genetics, DTC genomics or personalised nutrition would be particularly useful.

Experience using tools such as Bio Render, Figma or Illustrator to create scientific diagrams, familiarity with functional testing, or knowledge of relevant regulatory considerations would also be an advantage.

Why join Regenerus?

This is an opportunity to work on genomic research with a clear practical application.

Rather than simply reviewing the literature, you'll help make decisions about which genetic associations are sufficiently robust to warrant inclusion in clinical reporting - and how that evidence should be interpreted and communicated .

You'll also have the opportunity to contribute to the methodology behind an evolving risk scoring model and help shape how increasingly complex genomic information is presented to healthcare practitioners.

As Regenerus' reporting capabilities grow, so too could the scientific scope of the role - including potential work across nutrigenomics, pharmacogenomics and other areas of clinically relevant genomics.

If you enjoy getting beneath the headline of a genetic association, interrogating the evidence and making complex genomic science genuinely useful, we'd love to hear from you.

Please note that Regenerus is unable to provide visa sponsorship for this role.

Applicants must therefore have an existing right to work in the UK that permits them to undertake the role without employer sponsorship.

• Hours
• Private Medical Insurance via Vitality
• Eye Tests
• Functional Health Tests
• Company Pension
• Bonus Scheme
• Generous Annual Leave & Bonus Holidays
• Social Events
• Genomics_Research_Scientist_Job_Spec. pdf