Job Description
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 Apply tot his job