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AOA Dx · 3 weeks ago

Associate Director/Principal Scientist, Computational Biology and Bioinformatics

United States

Full-time

Remote

Senior Level, Lead/Staff, Director/Executive

$160K/yr - $175K/yr

7+ years exp

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.

BiotechnologyHealth CareHealth Diagnostics

Hiring Manager

Rob Mayers

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

Qualification

Machine learningPredictive modelingBiomarker discoveryComputational biologyPython programmingR programmingMulti-omics analysisStatistical methodsData presentationLeadershipMentoring

Required

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

Preferred

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

AOA Dx

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.

Founded in 2020

Boulder, Colorado, USA

11-50 employees