location_onLondon, UK
watch_later Posted: Feb 13, 2024
Skills Required
Nice To Have skills
Job Description
About Us
- We're a pioneering health tech company that aims to revolutionise the future of healthcare.. We're all about enhancing the patient journey, particularly for those common diseases that affect most people and take up most of our precious healthcare resources.
- Our secret weapon? Genomics! We use it to power our tools and systems, improving every step of the patient pathway. From preventing diseases to screening, diagnosing, treating, and even developing new medicines - we've got it covered.
- But we're not stopping there. Our vision is a world where everyone benefits from our genomic technology, helping folks and entire populations to live longer, healthier lives. So, if that all sounds exciting, come join us!
A Day in the Life
- As a Senior Scientist- Immuno-oncology, you'll drive innovation and collaboration, devising groundbreaking scientific approaches that help to shape team direction. You’ll communicate your discoveries effectively, and be a spearhead in leading transformative projects across the team.
- You will develop novel analyses and methods to characterise the genetics of the immune system and its response to cancer by harnessing genomic, real-world and clinical data. Using a strategic approach, you will utilise advanced statistical techniques to prioritise therapeutic targets and unveil new treatment possibilities in the field of immunotherapies.
- Success here demands a robust grasp of statistical human genetics applied inventively. You'll excel in unravelling complex genomic data and possess a knack for uncovering key insights, whilst working collectively with your highly skilled team.
Who You Are
- Experience in performing foundational genetic association analyses (e.g., GWAS; PRS)
- Experience with the analysis of the immune response to cancer: biomarkers, tumour profiling, and cancer immunotherapy development.
- Strong competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysis
- Experience in data mining and/or management of large datasets.
- Confident in engaging with a variety of stakeholders, contributing and supporting in the delivery of presentations to customers.