Senior Computational Scientist â Systems Biology & NextâGen Data Engineering

Step into a role where code meets clinical impact. Weâre building the next generation of dataâdriven diagnostics â at the intersection of biology, computation, and machine learning. Youâll join a tight-knit team of scientists and engineers decoding huge multiâomic datasets to uncover patterns that actually change patient outcomes. What Youâll Do Architect and optimize computational pipelines that turn raw highâresolution molecular data into clean, interpretable insights. Apply advanced statistical and algorithmic frameworks to analyze ultraâlarge cellâlevel and spatial datasets. Design and validate novel biomarkers and molecular signatures that accelerate diagnostic innovation. Maintain scalable, reproducible data workflows capable of handling cohorts of hundreds or thousands of biological samples. Partner with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility. Requirements What You Bring Ph.D. (or equivalent experience) in computational biology, bioinformatics, genomics, or a quantitative discipline. 5+ years working handsâon with singleâcell, spatial, or highâthroughput sequencing data. Deep understanding of algorithmic performance, statistical rigor, and how analytical assumptions translate to biological meaning. Strong engineering mindset â you write clean, extensible code that scales gracefully. Expertâlevel fluency in Linux and modern programming ecosystems. Independent drive, intellectual curiosity, and relentless attention to detail. Bonus Points For Experience with nextâgeneration spatial or singleâcell assay platforms. Background in oncology, immunology, or systemsâlevel disease research. Familiarity with biomarker discovery pipelines or clinical data integration. Machine learning or statistical modeling applied to multiâomic data. Practical experience with workflow orchestration (Nextflow, Snakemake, or similar). Solid software engineering habits â reproducible analysis, version control, peer review, and testing. Comfort operating in highâperformance or cloud computing environments. If youâre driven by the idea of building tools that help decode biology at scale and you thrive where data meets diagnostics, this is your stage. #J-18808-Ljbffr Calliere