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Sr. Bioinformatics Scientist – CDSDM

Job in Hayward, Alameda County, California, 94557, USA
Listing for: Predicine
Full Time position
Listed on 2026-08-29
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

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Sr. Bioinformatics Scientist – CDSDM

Full Time Professional Hayward, CA, US

9 days ago Requisition

About Predicine

Predicine Inc. is a precision oncology company advancing the fight against cancer through cutting‑edge genomic technologies and liquid biopsy solutions. We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next‑generation diagnostics from bench to bedside — faster, smarter, and more accessible. Join a team where your work directly impacts patient outcomes and the future of cancer care.

Position Overview:

The (Senior) Bioinformatics Scientist, Clinical Data Science and Data Management will support clinical studies and clinical trials through rigorous clinical data science and data management. This role integrates clinical, assay, biomarker, genomic, sample, and operational datasets into accurate, traceable, analysis‑ready data assets. The position emphasizes clinical study/trial data management, clinical reporting, data transfer specifications, data quality, validation, and reproducible outputs. At the senior level, the incumbent will lead cross‑functional data workflows from study setup through reporting, partnering with clinical, data management, biostatistics, regulatory, QA, project management, laboratory, and external stakeholders to ensure data integrity and audit‑readiness across the study lifecycle.

Job Summary

We are seeking highly motivated individuals to support clinical studies and clinical trials through rigorous clinical data science and data management. The incumbent will integrate clinical, assay, biomarker, genomic, sample, and operational datasets into accurate, traceable, analysis‑ready data assets. The role emphasizes clinical study/trial data management, clinical reporting, data transfer specifications, data quality, validation, and reproducible outputs. For senior positions, the candidate will lead cross‑functional data workflows from study setup through reporting with clinical, data management, biostatistics, regulatory, QA, project management, laboratory, and external partners.

This is an exciting opportunity to join a fast‑growing startup, accelerate your growth, and make a positive, immediate impact on cancer diagnosis and treatment.

What You'll Do

Key Responsibilities & Time Allocation

% of Time

Responsibility

30%
Clinical Data Management & Analysis — Lead clinical study/trial data management and analysis, including data plans, integration, cleaning, reconciliation, QC, and analysis‑ready dataset generation.

20%
Reporting & Workflow Tools — Develop and maintain clinical reporting, DTS/DTA, data transfer, ETL, and workflow automation tools for test and production data.

20%
Data Specifications & Documentation — Define and maintain data specifications, data dictionaries, CRF/sample data requirements, validation documentation, and audit‑ready records.

20%
Multi‑Source Data Integration — Integrate clinical metadata, assay results, NGS/biomarker data, sample tracking, and outcome data for study reporting and interpretation.

10%
Reporting & Stakeholder Deliverables — Generate reproducible tables, listings, figures, dashboards, reports, and written summaries for internal and external stakeholders.

What You Bring

Education

Minimum

Preferred

Level Master's degree with 3+ years of relevant experience Doctorate (PhD)

Field of Study Bioinformatics, Biostatistics, Data Science, Computational Biology, Biomedical Informatics, Clinical Research, or related field Same fields

Experience

Minimum

Preferred

Work Experience 2+ years in clinical study/trial data management, clinical reporting, DTS/data transfer, or biomarker analysis Oncology diagnostics, NGS/biomarker data, clinical outcomes, or regulated clinical reporting experience

Required Skills & Qualifications

  • Strong R and/or Python data analysis skills; SQL, SAS, ETL, or workflow automation experience is a plus
  • Hands‑on clinical study/trial data management, including cleaning, harmonization, QC, traceability, and documentation
  • Familiarity with DTS/DTA,…
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