Genomic Data Scientist
About The Position
As a member within our Data Science & Analytics team, you will serve as the primary architect of inquiry, interrogating complex multimodal genomic and biomedical datasets to frame the "killer questions" that drive both therapeutic breakthroughs and business value. Reporting to the Human Genetics Lead, you will lead high-impact initiatives that transform high-dimensional patient data into novel scientific insights and actionable discovery strategies. You will provide executive-level input to our genetics and bioinformatics roadmap while orchestrating cross-functional collaboration between clinical, engineering, and drug discovery teams to ensure our data-driven hypotheses translate directly into clinical reality and competitive advantage. This role is hybrid and can be based in either South San Francisco or Jersey City. This is a preferred hybrid role based at our Jersey City, NJ or Brisbane, CA office.
Requirements
- Education: Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, or a related quantitative field with a deep focus on human disease genetics/genomics.
- Industry Experience: 0–2 years of post-PhD industry experience in genomic data analysis.
- Biological Synthesis: Hands-on expertise in gene-set and pathway analysis, with a proven ability to "connect the dots" across genomic datasets.
- Multimodal Integration: A track record of integrating disparate data streams—including WGS/WES, single-cell RNA-seq, proteomics, and EHR data—to construct holistic biological models.
- Strategic Problem-Solving: Demonstrated ability to deconstruct ambiguous business or scientific challenges into structured, testable hypotheses.
- Collaborative Leadership: Exceptional communication skills and a "founder’s mindset," with the ability to translate "deep-tech" findings into actionable "so-what" insights for executive and clinical leadership.
- Scientific Excellence: A strong record of innovation evidenced by high-impact peer-reviewed publications or patents.
Nice To Haves
- Therapeutic Expertise: Specialized knowledge or experience in Ophthalmology.
- Data Versatility: Direct experience working with Real-World Data (RWD) and large-scale proprietary Genomic datasets.
- Machine Learning Proficiency: Practical experience applying advanced frameworks (e.g., Graph Neural Networks, Transformer architectures) to biological sequences or longitudinal clinical data.
Responsibilities
- Advanced Target Discovery & Validation: Accelerate the therapeutic pipeline by integrating cutting-edge analytical frameworks tailored to our unique patient cohorts. You will lead the expansion of in silico target validation tools, empowering bench scientists to make high-confidence, data-driven decisions on target prioritization.
- Novel Insight Generation: Architect and execute creative analytical strategies to "excavate" deep biological insights from our proprietary data platform. You will move beyond single-variant analysis to uncover higher-level downstream signals, such as gene-set enrichment and pathway-level interactions, that drive business and scientific value.
- Multimodal Ecosystem Architecture: Implement and support a sophisticated scientific computing environment that seamlessly bridges genomic, clinical, and imaging data. Your goal is to create a unified, "frictionless" data experience that integrates complex pipelines into a cohesive discovery engine.
- User-Centric Scientific Reporting: Develop and deploy intuitive, user-friendly reporting platforms that translate high-dimensional data into accessible insights, ensuring that complex multimodal findings are interpretable and actionable for stakeholders across the organization.
Benefits
- Benefits include a competitive salary, strong equity incentives, medical, dental, vision, 401(k), an accrued paid time off policy.
- Character is committed to recruiting, developing, and supporting colleagues from all backgrounds. We embrace diversity, equity, and inclusion as an integral part of our culture.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
