[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 match Company 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 https://www.aoadx.com. Apply tot his job Apply To this Job