Work with us

We are building an expert team to use genetics to transform drug development

We believe that genetic analyses can cut the sky-high costs of drug development by reducing attrition rates for new drug candidates, identify at risk individuals, and pinpoint subsets of patients who will benefit the most from such treatments. By developing better drugs more quickly, and enabling the advance of precision healthcare, we can help patients whose current treatment options are inadequate.

We have already built the largest and best curated data resource of its kind in the world (comprising more than 10,000 traits and diseases and millions of participants). We have also developed sophisticated algorithms that use these data at scale to learn about human biology.

We are backed by leading investors in life sciences and are growing our expert cross-disciplinary team (currently 50 people), primarily scientists and software engineers, with offices in Oxford and Cambridge.

OPEN ROLES

Scientific Developer

We are seeking exceptional Scientific Developers who have strong computational skills and experience in applying these skills in the context of large-scale data science. While experience in human genetics is preferred, scientists with backgrounds in other quantitative fields and an enthusiasm for genetics’ potential to revolutionize healthcare are encouraged to apply.  You will typically work as part of small teams comprising scientists, statisticians and software engineers to design and implement data analysis pipelines for the purpose of deriving new insights into human biology, guiding drug development towards safer and more efficacious drug targets, and improving upon the state of the art in precision health and personalised risk scores. Your involvement in the various stages of development (methodology, software, analysis) will reflect your personal balance of computational and scientific proficiencies.

You should have:

  • A strong quantitative background, and most likely a PhD, in a STEM subject
  • Competence and familiarity with basic statistics
  • Proven experience of learning from large-scale data sets in a scientific or engineering context.
  • The ability to summarize and visualize complex datasets to look for patterns and potential biases
  • The ability to discuss and explain complex ideas to both specialists and non-specialists.
  • The ability to understand complex concepts from outside your own field.
  • Experience with scientific programming languages such as Python, R and/or C++


In return we offer:

  • The opportunity to work alongside talented colleagues in a growing company that combines a focus on cutting-edge science with commercial delivery.
  • The chance to do work that directly benefits healthcare, and improves people’s lives.
  • Access to amazing data – the chance to work with one of the largest and fastest-growing genotype-phenotype databases in the world.
  • Dedicated time for hacking on blue sky projects and research.
  • A competitive salary with pension, private healthcare, share options and other benefits.

Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work.

Please apply with a CV and cover letter addressing the above criteria to recruitment@genomicsplc.com.

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

Apply

Senior Software Engineer - Core Engines

We are building a team of collaborative software engineers to transform drug discovery and improve human health. We value well-crafted software and clean architecture, developed through a steady process of incremental change. Our software developers continually strive to master new technologies and techniques, and always aim to choose the right tool for the task at hand. We reserve 10% of our working week for the exploration of new ideas, and share what we have learned with each other through mentorship, pair programming, and tech talks. We work in productive partnerships with our data scientists, statisticians, and domain experts to advance our understanding of the human wiring diagram.

Team members will be expected to gather requirements, design systems, plan and estimate implementation work, and produce quality code – all in close collaboration with colleagues. We are flexible in terms of what programming languages and paradigms we use: if at least two other team members are comfortable working in a language, it is a candidate for production use. Our philosophy is that development skills are largely independent of language, and the ideal applicant would be able to learn the basics of a new language in a matter of days, and to become productive in it within a few weeks. For this reason, rather than requiring applicants to have a specific set of language skills, we expect a successful applicant will have had exposure to a number of different languages as a side-effect of previous development projects, and should have demonstrable skill in at least two of them.

Our current technology stack includes systems and tools written in C, C++, ES / Javascript, Go, Haskell, Python, and R. We run our systems on an OpenStack-based private cloud, and a sizeable High Performance Computing (HPC) facility powers our scientific research. We rely on scientific workflow engines to run reproducible data analysis expressed descriptively in WDL / CWL. We leverage Apache Arrow to facilitate scalable zero-copy I/O from our binary data stores, and base our metadata stores on MongoDB and Postgres. We present our analyses via web-based interfaces using React and D3, and provide REST APIs and end-user libraries to access data with bindings in Python and R. We have a strong culture for Continuous Integration and Delivery (CI/CD) as well as scientific regression testing and benchmarking.

 

You should have:

  • Skill coding in multiple programming languages.
  • Dedication to lifelong learning and a willingness to teach and learn from peers.
  • Critical thinking skills, familiarity with basic statistics, and attention to detail.
  • Good communication skills, including the ability to communicate complex ideas to an audience with a range of technical backgrounds.
  • Enthusiasm for problem solving and interest in being part of transformative work in the field of genomics and healthcare.

 

Your background should include:

  • Substantial experience producing useful software collaboratively and in partnership with users.
  • A track record of using good software development practices (e.g. distributed source code management, code review, testing, pair programming) to facilitate collaborative work.
  • Experience with performance measurement and profiling of applications using Linux-based operating systems and tools.
  • Some experience with DevOps practices (e.g. continuous integration, continuous testing, release automation, infrastructure as code, applications monitoring).

 

In return we offer:

  • The opportunity to work alongside talented colleagues in an enthusiastic company that combines cutting-edge science with commercial delivery.
  • A focus on rapid commercial translation (independently and with our partners), so our work improves people’s lives.
  • Access to amazing data – you will work with one of the largest and fastest-growing genotype-phenotype databases in the world.
  • Dedicated time for hacking on blue sky projects and research.
  • A rewarding salary with pension, private healthcare, share options, and other benefits.

 

Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work.

Positions are available in our Oxford and Cambridge offices.

Please apply with a CV and cover letter addressing the above criteria to recruitment@genomicsplc.com.

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender identity, marital or civil partnership status, sexual orientation, sex, race, religion or belief, or pregnancy/maternity status.

Apply

Scientist / Senior Scientist: Complex disease genetics

We are building our team of expert complex disease genetics analysts to develop and apply our proprietary methods on the world’s largest database of genetic associations to human diseases and traits. 

You should have:

    • A strong background in human disease or population genetics.
    • Experience analysing GWAS, exome or whole-genome datasets.
    • Experience in standard statistical approaches and modern computational tools.
    • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. 

In return we offer:

    • The opportunity to work alongside talented colleagues in an enthusiastic company that combines cutting-edge science with commercial delivery.
    • A focus on rapid commercial translation (independently and with our partners), so our work improves people’s lives.
    • Access to amazing data – you will work with one of the largest and fastest-growing genotype-phenotype databases in the world.
    • Dedicated time for hacking on blue sky projects and research.

Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work.

Please apply with a CV and cover letter addressing the above criteria to recruitment@genomicsplc.com.

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

Apply

Scientist / Senior Scientist: CRISPR screen analysis

We are launching a new initiative to integrate the growing amount of genome-wide CRISPR screen data into our state-of-the-art common and rare variant genetic analyses. By bringing together population and engineered genetic variation into a unified statistical framework, we believe these data can be even more powerful.

You should have:

  • A strong background in human disease genetics, including large scale data analysis.
  • Experience in standard statistical approaches and modern computational tools.
  • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.
  • The ability to explain your ideas to both specialists and non-specialists.

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. We will consider candidates interested in moving into genetics from other areas of data science.

In return we offer:

  • The opportunity to work alongside talented colleagues in an enthusiastic company that combines cutting-edge science with commercial delivery.
  • A focus on rapid commercial translation (independently and with our partners), so our work improves people’s lives.
  • Access to amazing data – you will work with one of the largest and fastest-growing genotype-phenotype databases in the world.
  • Dedicated time for hacking on blue sky projects and research.
  • A rewarding salary with pension, private healthcare, share options and other benefits.

 

Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work.

Please apply with a CV and cover letter addressing the above criteria to recruitment@genomicsplc.com.

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

Apply

Scientist / Senior Scientist: Functional genomics

We are starting an exciting new analysis programme to integrate large-scale functional genomics data sets with our in-house database of genotype-phenotype associations. The goal of this programme is to understand the functions of disease variants at the cellular and molecular level, to help refine our ability to accurately detect promising candidate drug targets.

You should have:

  • A strong background in human disease genetics, including large scale data analysis.
  • Extensive experience in the statistical analysis of modern -omics data sets (RNA-seq, ChIP-seq, ATAC-seq or similar)
  • Experience in standard statistical approaches and modern computational tools.
  • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.
  • The ability to explain your ideas to both specialists and non-specialists.

You should ideally also have:

  • Previous experience analysing genome-wide CRISPR screens.

 

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. We will consider candidates interested in moving into genetics from other areas of data science.

In return we offer:

  • The opportunity to work alongside talented colleagues in an enthusiastic company that combines cutting-edge science with commercial delivery.
  • A focus on rapid commercial translation (independently and with our partners), so our work improves people’s lives.
  • Access to amazing data – you will work with one of the largest and fastest-growing genotype-phenotype databases in the world.
  • Dedicated time for hacking on blue sky projects and research.
  • A rewarding salary with pension, private healthcare, share options and other benefits.

 

Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work.

Please apply with a CV and cover letter addressing the above criteria to recruitment@genomicsplc.com.

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

Apply

It takes a real mix of skills – statistics, biology, software development, and commerce – and we are always looking for individuals with exceptional technical skills who are also highly motivated and entrepreneurial. Positions available in our Oxford and Cambridge offices.

If you think you have the skills to join our team, get in touch via recruitment@genomicsplc.com.