Data ScientistHertility Health

Hertility is a women’s health company built by women, for women. We’re shaping the future of reproductive healthcare by pioneering unique diagnostic testing that provides data-driven and advanced insights into reproductive health, fertility decline and the onset of menopause. We provide expert advice, education and access to care - all from the comfort of your home.

31% of women will suffer from a reproductive health issue at some point and through our research, we aim to reduce the time to diagnosis through advanced at-home testing and specialist gynaecological care. We tailor pathways to the individual's reproductive goals, whether it be to explore their ovarian health and fertility options or overall hormonal health, such as confirming a PCOS diagnosis. Currently, we can screen for 18 of the most common gynae pathologies which may lead to reduced fertility and signpost gynae cancers.

Ultimately, our aim is to change attitudes around reproductive health, both for individuals and in the workplace, and to encourage women to be proactive by tracking their reproductive health. We’re calling this the Reproductive Revolution!

The role

We’re looking for a Data Scientist/Machine Learning developer to help us build cutting edge machine learning algorithms for women to manage their hormonal health. This is an exciting opportunity to work with both structured and unstructured data from multiple sources to deliver insights that can change the lives of women everywhere.

Key responsibilities will include:

• Developing machine learning models to serve internal and external customers.
• Leveraging Large Language Models to:
  • Extract structure from unstructured data sources.
  • Generate reports.
• Exploring data to help inform what might be possible to develop in future.
• Building graph models to encapsulate relationships within healthcare.