Over the last 20 years, genomic technologies have enabled significant discoveries that bring the promise of personalised medicine closer than ever before. But after two decades of research, it’s clear that genetic variation only tells part of the story – biology is dynamic and more complex than A, C, T, G. Already, the added information from a multiomic view of biology is yielding important insights into cancer, ageing, and neurological disease, and is poised to revolutionise how we understand health and disease beyond canonical variation in DNA. biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. This is an incredible opportunity to step into an exciting, early-stage company at the cutting edge of science with exceptional growth and market impact potential. Bioinformatics Scientist (Collaborations & Applications) Permanent/Full time, London or Cambridge An opportunity to support biomodal's work with early adopting customers on novel analysis pipelines. Our technology provides our customers with novel multi-modal information that will enable new scientific discoveries. Our Collaborations & Applications team are responsible for ensuring our customers can extract maximum insight from data generated using biomodal products. In this role, you can expect to collaborate closely with scientists from our customer’s organisations, as well as the data scientists, bioinformaticians and engineers developing our core software products. You are expected to follow the literature in a fast-moving field and contribute to defining how biomodal’s products can be used in real-world applications. Collaborate with customers to test our products in their use cases and drive the collaborative work towards scientific publication Produce proof-of-concept methods to evaluate novel methods to analyse novel data from biomodal products in customer applications. Liaise with customers to help understand their requirements and communicate them to our product development teams Use complex omics data to troubleshoot experiments and liaise with product development and product management teams to devise solutions. PhD or commensurate experience in biological or quantitative subject area, with a strong focus on bioinformatics and biological data analysis . Expertise in at least one of the programming languages commonly used in computational science and scientific programming (such as Python, R, or Julia). Familiarity with methods used in genomic data science, including experimental design, QC, and common methods of secondary and tertiary analysis such as variant calling, CNV calling, DMR analysis. Familiarity with the most common bioinformatics data formats, such as FASTQ, BAM, and VCF, and with computational methods to access these. Familiarity with methods for summarising and displaying data in graphical format, such as seaborn or ggplot. Knowledge of software development best practices (version control, code review, pair programming, agile/scrum, testing, etc.) Experience using systems on cloud platforms (such as GCP or AWS). Annual bonus scheme ~ Health and Life Insurance ~ Flexible/hybrid working conditions ~ Enhanced annual leave ~ Enhanced parental leave ~10% pension contribution
