What skills are essential for a Genomics Scientist?

Essential skills include a strong background in genetics, proficiency in bioinformatics tools, and the ability to design and interpret complex experiments.

What are the typical working hours for a Genomics Scientist?

Working hours can vary, but many Genomics Scientists work standard office hours, with occasional longer hours during critical project phases.

How important is collaboration in this role?

Collaboration is crucial. Genomics Scientists often work with interdisciplinary teams, including biologists, computer scientists, and medical professionals.

What are the career progression opportunities?

Career progression typically involves moving from research roles to leadership positions, such as team lead or principal scientist.

What is the salary range for Genomics Scientists?

Salary ranges can vary widely based on experience and location. For more detailed information, please refer to the salary section on this page.

Genomics Scientist Jobs

Experts who decode and analyse genetic information to drive medical and scientific breakthroughs. A role at the forefront of precision medicine and genetic research.

Open roles

Hiring companies

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Genomics Scientists play a crucial role in the biotechnology industry, focusing on the study and application of genetic information. They work in a variety of settings, including research institutions, pharmaceutical companies, and biotech startups. Their work often involves analysing large datasets to identify genetic variations, developing new diagnostic tools, and contributing to the advancement of personalised medicine. Genomics Scientists collaborate with interdisciplinary teams to translate genetic insights into practical applications, from drug development to disease prevention.

What the role does

Inside the role of a Genomics Scientist

A typical week for a Genomics Scientist is a mix of data analysis, experimental design, and collaboration with other scientists.

01

Analyse genetic data using bioinformatics tools.
02

Design and conduct experiments to validate findings.
03

Collaborate with interdisciplinary teams on research projects.
04

Prepare reports and presentations for stakeholders.
05

Stay updated with the latest research and technologies.
06

Attend meetings and workshops to share insights.

Skills & tools

What hiring managers ask for

% of 7 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Machine Learning

100%

Statistical Genetics

71%

Genomics

57%

Python

57%

Data Science

57%

Genetic Analysis

43%

Data Engineering

43%

Software Engineering

43%

Genomic Analysis

29%

SQL

29%

Applied Statistics

29%

Career ladder

From Junior to Principal

A typical UK progression for genomics scientists. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

Level 1

Junior Genomics Scientist

0–2 yrs

Assist in data analysis and experimental tasks under supervision, contributing to ongoing research projects.
Level 2

Genomics Scientist

2–5 yrs

Lead specific research projects, design experiments, and contribute to the development of new methodologies and tools.
Level 3

Senior Genomics Scientist

5–10 yrs

Manage a team of researchers, oversee multiple projects, and play a key role in strategic decision-making and innovation.
Level 4

Principal Genomics Scientist

10+ yrs

Direct large-scale research initiatives, influence industry standards, and mentor junior scientists.

Pathway

How to become a Genomics Scientist

There's no single route, but most people follow some version of these steps.

1

Academic Foundation

Complete a degree in genetics, molecular biology, or a related field, often followed by a PhD.
2

Research Experience

Gain hands-on experience through internships, postdoctoral positions, or early-career roles in research labs.
3

Specialisation

Develop expertise in specific areas of genomics, such as bioinformatics, gene editing, or clinical genomics.
4

Leadership Roles

Take on leadership responsibilities, managing projects and teams, and contributing to strategic planning.
5

Industry Impact

Influence the industry through publications, patents, and collaborations with leading institutions and companies.
6

Mentorship

Mentor and train the next generation of genomics scientists, contributing to the growth and development of the field.

Live jobs

6 live roles

Ellison Institute of Technology · 501–1000 people · Non-profit

(Senior) Computational Genomics Scientist, Algorithms & AI/ML

Oxford
Hybrid
Senior
Permanent

Design and develop novel computational algorithms and AI/ML methods for translating metagenomic sequencing data into clinically actionable results, covering taxonomic classification and antimicrobial resistance. Validate and benchmark methods on public and internal datasets, then work with bioinformaticians and software engineers to embed them in scalable, reproducible workflows for an infectious disease diagnostic product.

Oracle Cloud · Long-Read Sequencing

3 months ago

Helical

Principal Scientist (Comp. Bio/ML) - Genomics

London
Hybrid
Lead
Permanent

Provide scientific leadership across model evaluation and applied use cases, ensuring foundation models stay grounded in drug development and translational research challenges. Act as a senior individual contributor and key scientific partner, mentoring junior colleagues and working with Product and Business Development to turn biology and ML into customer-facing deliverables as the team scales.

Last month

GSK · 10000+ people · Public

Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics

Stevenage
£74,250 – £202,125 pa
Lead

Joins the Genomic Technologies group within Translational Sciences, working in an existing Statistical Genetics team. Develops and tests production methods for analysing large-scale human genetic data, integrating genetic association data across omic and phenotypic layers to identify causal genes, drug targets and biomarkers. Collaborates with Data and Predictive Sciences, Biostatistics, AI/ML and disease area teams to influence portfolio decisions.

PySpark · BigQuery · Docker +3

3 weeks ago

GSK · 10000+ people · Public

Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics

Heidelberg, Germany
On-site
€74,250 – €202,125 pa
Lead

Join GSK's Genomic Technologies team within Translational Sciences, working alongside statistical geneticists to analyse large-scale human genetic data from biobanks such as UK Biobank and All of Us. The role involves developing and testing production methods for genetic analysis, integrating multi-omic and phenotypic data to identify causal genes and drug targets, and collaborating with Data and Predictive Sciences, Biostatistics, AI/ML and disease area teams to inform portfolio decisions.

UK Biobank · All of Us · PySpark +3

3 weeks ago

GSK · 10000+ people · Public

Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics

Cambridge
£74,250 – £202,125 pa
Lead

Joins the Genomic Technologies group within Translational Sciences, working in an existing Statistical Genetics team. Develops and tests production implementations of methods for large-scale genetic data analysis, integrating genetic association data across omic and phenotypic layers to identify causal genes, drug targets and biomarkers. Collaborates with Data and Predictive Sciences, Biostatistics, AI/ML and disease area teams to influence portfolio decisions.

Python · R · SQL +6

3 weeks ago

GSK · 10000+ people · Public

Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics

USA - Pennsylvania - Upper Providence
US$121,275 – US$202,125 pa
Lead

Joins the Genomic Technologies group within Translational Sciences, working in an existing Statistical Genetics team on large-scale human genetic data. Develops and tests production methods for genetic analysis, integrates multi-omic and phenotypic data to find causal gene-phenotype links and drug targets, and collaborates with biostatistics, AI/ML and disease research teams.

SQL · PySpark · BigQuery +4

3 weeks ago

Top hirers

Companies hiring genomics scientists

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Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

FAQs

Common questions

Essential skills include a strong background in genetics, proficiency in bioinformatics tools, and the ability to design and interpret complex experiments.
Working hours can vary, but many Genomics Scientists work standard office hours, with occasional longer hours during critical project phases.
Collaboration is crucial. Genomics Scientists often work with interdisciplinary teams, including biologists, computer scientists, and medical professionals.
Career progression typically involves moving from research roles to leadership positions, such as team lead or principal scientist.
Salary ranges can vary widely based on experience and location. For more detailed information, please refer to the salary section on this page.

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Genomics Scientist Jobs

Inside the role of a Genomics Scientist

What hiring managers ask for

From Junior to Principal

Junior Genomics Scientist