[Remote] Associate Director/Principal Scientist, Computational Biology and Bioinformatics

Note:The job is a remote job and is open to candidates in USA. AOA Dx is developing pioneering work in early-stage cancer detection through its proprietary biomarker technology. The Associate Director/Principal Scientist will lead the development of biomarker discovery and machine learning models for early detection of ovarian cancer, collaborating closely with various teams to advance cancer diagnostic applications. Responsibilities• Design, implement, and validate machine learning models for early detection of ovarian cancer using proteomics, lipidomics, and metabolomics data.• Optimize algorithms for robustness, accuracy, and reproducibility across diverse patient cohorts. • Develop classifiers and predictive models that integrate multi-modal data into mechanistic insights. • Identify and validate biomarkers in multi-omic and multi-modal data sets for ovarian cancer detection through rigorous computational and statistical analysis. • Use feature selection techniques to prioritize clinically relevant and reproducible markers. • Develop computational workflows for processing and integrating multi-modal data from clinical and experimental platforms.• Ensure high-quality data preprocessing, curation, and integration. • Perform statistical analyses on datasets to analyze clinical performance and present data to scientists and non-scientists. • Partner with biostatisticians, wet lab scientists, and clinicians to refine experimental designs and interpret multi-omics data. • Foster external collaborations with academic and industry partners to advance research and enhance assay performance. • Provide technical and strategic direction to computational biology initiatives.• Mentor junior team members and contribute to a collaborative and innovative team environment. • Prepare technical reports, scientific manuscripts, and presentations for internal and external audiences. • Represent AOA Dx at conferences and enhance the company’s visibility in the oncology diagnostics community. • Distill complex datasets into meaningful presentations and communications for non-scientists. Skills• PhD in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related field, with 7+ years of experience in computational biology and multi-omics analysis (or equivalent MS experience).• Expertise in machine learning, predictive modeling, and biomarker discovery, preferably in cancer diagnostics. • Strong programming skills in Python, R, or similar languages, with experience in high-performance computing environments. • Deep knowledge of cancer biology, pathways, and statistical methods for multi-modal data analysis. • Proven track record of leading computational projects and collaborating with cross-functional teams. • Strong communication skills to translate complex computational concepts into actionable insights.• Adept at data presentation to scientists and non-scientists. • Demonstrated leadership and mentoring experience. • Familiarity with proteomics (immunoassay and/or LC-MS), lipidomics (LC-MS), and metabolomics platforms is desired. Experience in building algorithms from complex data to distinguish disease states is required. • Experience with regulatory-compliant workflows and clinical assay development. • Strong publication record in top-tier journals and/or patents in cancer diagnostics. Benefits• Unlimited PTO• Group health, dental, and vision insurance• 100% employee sponsored life and disability benefits• Monthly cell phone reimbursement• 401k plan with employer matchCompany Overview• AOA Dx is leading a revolutionary breakthrough in early-stage cancer detection for women, leveraging the transformative potential of AI and our proprietary biomarker technology.It was founded in 2020, and is headquartered in Boulder, Colorado, USA, with a workforce of 11-50 employees. Its website is Apply tot his job