Senior Scientist, Bioinformatics ChromoLogic - 4.3 Monrovia, CA Job Details Full-time 1 hour ago Qualifications Laboratory experiment design DNA sequencing Research project design Collaborative research Programming languages Doctor of Philosophy Experimental design Computer skills Bioinformatics data analysis Cross-functional communication Full Job Description Drive the Future of Precision Medicine ChromoLogic is advancing transformative biomedical technologies through cutting-edge research and development programs focused on nucleic acid biomarkers and next-generation diagnostics. We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the discovery, development, and validation of novel biomarkers for prognostic and precision medicine applications. This role offers an opportunity to work at the forefront of genomics, machine learning, and translational research. The successful candidate will collaborate closely with multidisciplinary teams of scientists, data analysts, and external partners to transform complex biological data into actionable insights that improve patient outcomes. ChromoLogic LLC (www.chromologic.com (http://www.chromologic.com/)) is a world-class innovation center with advanced scientific research and development in the medical, aerospace and security markets. What You'll Do Scientific Leadership & Innovation Lead bioinformatics efforts supporting the discovery and validation of nucleic acid biomarkers Develop, optimize, and maintain robust computational pipelines for NGS and multi-omics data analysis Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers Design and execute end-to-end analytical strategies, from hypothesis generation and experimental planning through data interpretation and reporting Cross-Functional Collaboration Partner with molecular biologists, experimental scientists, clinicians, and external collaborators to drive research programs forward Translate complex computational results into clear scientific recommendations and business-relevant insights Contribute to strategic planning and research initiatives across the organization's portfolio Research Excellence Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical capabilities Ensure scientific rigor, reproducibility, and quality across all computational workflows Author technical reports, peer-reviewed publications, research proposals, standard operating procedures (SOPs), and grant applications Present findings to scientific teams, leadership, collaborators, and industry stakeholders Required Qualifications Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical, or industry experience Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development Strong proficiency in Python, R, or similar programming languages Experience applying machine learning, Bayesian modeling, or advanced statistical methods to biological datasets Proven ability to independently design studies, analyze complex datasets, and derive meaningful scientific conclusions Strong record of collaboration in multidisciplinary research environments Outstanding written, verbal, and presentation communication skills Why Join Us? Work on mission-critical technologies with real-world impact Collaborate with top-tier scientists and engineers Engage in meaningful, application-driven innovation What We Offer Competitive salary and benefits package A mission-driven culture where discovery and innovation are at the heart of everything Close collaboration with scientists and leaders shaping breakthrough research A chance to build something meaningful—your systems, your ideas, your leadership Flexible environment, high ownership, and the ability to make an immediate impact If you're passionate about leveraging computational biology, machine learning, and genomics to solve complex biomedical challenges, we'd love to hear from you.