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HAYA Therapeutics · 17 hours ago

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

San Diego, CA

Full-time

Onsite

Senior Level

$140K/yr - $155K/yr

6+ years exp

HAYA Therapeutics is a biotech company focused on RNA-guided genome-targeting therapies for chronic diseases. They are seeking a Senior Scientist II in Data Science to lead the transformation of complex datasets into decision-ready scientific outputs, ensuring rigor and credibility in the cardiac and cardiorenal space.

BiotechnologyGeneticsHealth CareMedicalTherapeutics

Responsibilities

Act as a lead scientific communicator, showcasing HAYA’s data science platform and analytical capabilities to external partners, investors, and at scientific conferences

Drive the creation of high-quality, high-impact data packages and visualizations from analyses across multiple programs to support decision-making and external business development

Serve as the quality control gatekeeper for all outgoing material in the cardio-renal-metabolic context; review and validate computational outputs to ensure biological accuracy and rigorous standards before dissemination

Lead the computational strategy for prioritizing pharmacodynamic (PD), predictive, and prognostic biomarkers from multi-omics datasets to support clinical development in the Cardio-Renal-Metabolic space

Define and execute the data strategy to translate preclinical findings (in vitro/in vivo) into clinically relevant hypotheses, ensuring alignment with industrial drug development standards

Apply advanced statistical and machine learning approaches to stratify patient populations and define responder signatures for HAYA’s therapeutics in heart failure and related metabolic conditions

Perform and oversee end-to-end analysis of bulk, single-cell, and single-nuclei transcriptomics and epigenomics data, acting as a subject matter expert specifically within cardiac, renal, and metabolic areas

Integrate multi-omics data from in-house and public sources to uncover novel biology, disease-specific cell states, and perturbation signatures relevant to cardiac diseases (e.g., HCM, HF)

Establish analysis strategies to handle translational datasets, setting the standard for the entire team

Synthesize data from multiple independent datasets to construct clear, biologically meaningful narratives for technical and non-technical audiences

Be able to drive high-quality material generation autonomously, taking over major responsibilities from other team members

Qualification

Computational BiologyMulti-omics IntegrationBiomarker DiscoveryStatistical AnalysisRPythonData Science FrameworksTranslational ResearchStakeholder EngagementNarrative ConstructionHigh AutonomyExceptional Communication

Required

PhD in computational sciences (e.g., bioinformatics, computer science) or life sciences with a strong computational focus

6+ years of relevant industry post-doctoral experience

Expertise with the biological interpretation of multi-omics transcriptomic data (single-cell/nuclei RNA-Seq and bulk RNA-Seq in particular)

Proficiency in R or Python and data science frameworks: HPC/cloud-based environments, Jupyter notebooks, Ai-augmented data science (e.g., Cursor, Windsurf)

Demonstrated industrial experience in computational biomarker discovery pipelines, including feature selection, validation, and clinical utility assessment

Comprehensive experience with translational and industrial/biotech settings in the Cardio-Renal-Metabolic therapeutic area

Proven ability to bridge the gap between early discovery and clinical translation, utilizing computational biology to support target and biomarker validation and translation

Exceptional ability to present complex data to diverse audiences (business, clinical, scientific) and experience acting as a reviewer/approver for scientific content

Exceptional ability to generate high-quality data packages and results for internal and external audiences in an autonomous way