Careers
Work with Helena
We do not have open positions at the moment, but we are always interested in meeting thoughtful people who want to work on clinical genomics, bioinformatics and scientific software.
Tell us what you work on, your interests and where you think you could contribute.
Stay in touch
Join our talent network
There are no open positions right now, but the right opportunity may open tomorrow. Introduce yourself and stay on our radar.
Your information is kept confidential and used only to contact you about future opportunities.
Introducing your work
Our work connects software engineering with the evidence that specialists use to interpret genomic variants. Folklore brings classification, phenotype, inheritance and literature into a case record for review. Other Helena projects address genetic association analysis, biomedical literature discovery and reproducible public study records. The company website and public research pages provide examples of these different areas.
A useful introduction describes a problem you have worked on, your contribution and how you checked the result. You can include links to a public repository, publication, portfolio or technical explanation. Tell us which part of clinical genomics, bioinformatics or scientific software interests you and how it relates to your experience. Share only material you are entitled to make available; a public example or a description is enough.
This page is an invitation to introduce yourself for future opportunities, rather than an advertised vacancy. We have no open positions at present. Use the contact button above to explain your interests and provide an email address where we can reach you.
An engineering example can explain the inputs, the result and the checks that make the result reproducible. A public code sample is easier to understand when it includes a short description of the problem, the part you implemented and the conditions under which it was tested. If the original work is confidential, describe your contribution without attaching private source code, credentials or customer data.
For a scientific example, identify the question, the data source, the method and the limits of the conclusion. Our public research distinguishes an association from a robust result and an independently confirmed finding. A publication, a reproducible analysis or a clear account of an unresolved result can help explain how you approach that distinction in your own work.
An introduction can also describe collaboration across disciplines: for example, how you explained a computational result to a laboratory colleague or translated a scientific requirement into software behaviour. State your own role and the part of the work you would like to discuss. These suggestions help give an introduction context; they are not requirements for an advertised position.