or Perl for data analysis. Experience with bioinformatics tools and databases (e.g., BLAST, Bioconductor, Ensembl). Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB More ❯
and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics/Spatial omics (e.g., spatial transcriptomics or multiplex imaging)/Multi-modal data integration (e.g., combining genomics with clinical or imaging data) A track record of delivering biological More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Hlx Life Sciences
Salary + Share Options A stealth-mode biotech startup is seeking a Senior Data Scientist to drive innovation. You’ll work on cutting-edge omics and machine learning projects using non-invasive epigenetic data to develop predictive diagnostics and personalized treatments. Key Responsibilities: Develop ML models for epigenetic data Analyze More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Pear Bio
About Pear Bio At Pear Bio, we are personalizing cancer treatment selection because every cancer is unique. To achieve this, we have developed a test that cultures patient tumor samples and matched immune cells, monitors cell behaviors during therapy exposure More ❯
experience (CPTO, CTO, CPO, or equivalent) in tech-driven organisations within data-intensive industries. Proven expertise in handling and integrating multi-modal clinical and omics data, as well as leading teams to develop scalable cloud-native architectures. Demonstrable knowledge of big data governance, regulatory compliance (e.g., software as a medical More ❯
and lead the data science and bioinformatics strategy across the full data lifecycle Build predictive models and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and proprietary algorithms Collaborate closely with wet lab scientists, product teams, and … or a related field 8–10+ years post-PhD experience, ideally within bio/health tech environments Deep expertise in DNA methylation and multi-omics data analysis Strong coding skills (Python), cloud computing experience (AWS preferred) Leadership experience with a start-up-ready, cross-functional mindset Desirable: Experience developing data More ❯
