Senior Biologist

Are you a highly skilled Computational Biologist with a passion for the latest advancements within Oncology Research? My client, an incredibly well back growing pioneering Biotech company dedicated to revolutionizing cancer treatment. By integrating cutting-edge biology with data-driven and AI-powered analysis, they position themselves at the forefront of enhancing novel anti-cancer therapies. Their approach spans cell biology, engineering, and machine learning. As a Senior Computational Biologist , you will be responsible for analyzing complex biological data using computational tools. Collaborate with interdisciplinary teams to develop algorithms, perform bioinformatics analyses, and guide experimental design. Your Responsibilities : Developing Omics Processing Pipelines : Work closely with Engineers to ensure seamless deployment of pipelines on cloud infrastructure. Establish and apply cutting-edge genomic and transcriptomic quality control processes to identify experimental inconsistencies and uphold exceptional data quality across the platform. Develop user-friendly tools and solutions to enable seamless access to our data for internal researchers and external collaborators, facilitating efficient exploration and utilization of the datasets. Who You Are : Education : PhD or equivalent experience in computational biology, computational genomics, machine learning, or a related discipline. Bioinformatics Expertise : Proficiency in processing and analyzing WGS (whole-genome sequencing) and RNA-seq data. Pipeline Development : Experience in designing, implementing, and optimizing omics data processing pipelines. Cloud Computing : Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying and scaling computational workflows. Programming Languages : Strong skills in Python, R, or other scripting languages commonly used in bioinformatics. Data Engineering Tools : Familiarity with tools like Nextflow, Snakemake, or CWL for workflow orchestration. Database Development : Experience creating user-friendly tools or dashboards for data exploration (e.g., via APIs, custom web interfaces, or tools like Shiny). Following your application, Jay Robins, a specialist AI recruiter will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.