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Adela, Inc. · 8 hours ago

Staff / Principal Data Scientist (Machine Learning and Statistical Modeling)

United States

Full-time

Remote

Senior Level, Lead/Staff

$150K/yr - $170K/yr

6+ years exp

Adela, Inc. is dedicated to transforming cancer care through innovative blood tests. They are seeking a highly motivated Staff or Principal Data Scientist to lead the development of novel algorithms that translate raw signal from their whole-methylome platform into actionable insights, collaborating across teams to enhance cancer management solutions.

BiotechnologyHealth CareHealth DiagnosticsMedical

No H1B

Responsibilities

Design, implement, and validate machine learning and statistical models supporting Adela’s Cancer Management portfolio (MRD, response monitoring, phenotyping, response prediction)

Analyze sequencing data to quantify signal versus noise, identify assay limitations (batch effects, coverage bias, cross-sample contamination), and define mitigation strategies

Participate and lead cross-functional projects with assay R&D, clinical development, operations, and software engineering to drive product improvements and scale analyses into production

Establish and maintain reproducible workflows (code + data versioning + documentation) and best practices for analysis and model validation

Act as a technical leader who strengthens the team by mentoring peers, sharing knowledge, and introducing new practices that elevate our data science capabilities

Communicate results clearly to scientific and non-scientific stakeholders both internally and externally

Qualification

Statistical modelingMachine learningPythonRHigh-plex omicsNGS dataLiquid biopsy experienceCancer genomicsMolecular diagnosticsLeadership skillsCommunication skillsProblem solvingCross-functional collaboration

Required

PhD in data science, statistics, bioinformatics, computational biology, electrical engineering, computer science, mathematics, or a related quantitative field — or MS with commensurate industry experience and track record

6+ years of relevant experience inclusive of post-graduate training (adjustable by level: Staff = min 6 years, Principal = min 8 years) working with high-plex omics or NGS data

Expertise in statistical modeling, signal processing, and machine learning for biological data

Proficiency in Python and/or R and experience with scientific computing libraries (such as scikit-learn, PyTorch/TF, Stan, NumPy, Bioconductor, etc.)

Strong problem solving, leadership, and communication skills; track record of cross-functional collaboration