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Chief Scientific Officer

Job in Tyler, Smith County, Texas, 75701, USA
Listing for: ClinLab Solutions Group
Full Time position
Listed on 2025-12-12
Job specializations:
  • Healthcare
    Data Scientist, Medical Science, Clinical Research
Job Description & How to Apply Below

Chief Scientific Officer (CSO)

The CSO leads a cross‑functional organization spanning R&D, translational/clinical validation, bioinformatics, biobank/control‑material programs, and scientific quality/regulatory interfaces—partnering tightly with Operations, Quality/Regulatory, Commercial, and Finance.

Science & Innovation Vision
  • Define the scientific vision and a multi‑year portfolio (platforms, assays, enabling technologies) with clear stage gates, risk mitigation, and ROI‑grounded resourcing.
  • Chair Portfolio Review and Scientific Advisory Board processes; set OKRs/KPIs for discovery, pre‑product de‑risking, clinical validation, and launch readiness.
  • Direct concept‑to‑commercial development of molecular assays and enabling chemistries—qPCR/multiplex PCR, dPCR, NGS (targeted/gene panels, metagenomics/transcriptomics), and workflow innovations that raise sensitivity, specificity, throughput, and cost efficiency.
  • Ensure robust design inputs/outputs, verification/validation, and technology transfer to operations and clinical settings; steward IP strategy and external visibility (publications, patents, podium).
Clinical/Translational & Regulatory Interface
  • Oversee clinical readiness and collaborate with laboratory leadership to maintain impeccable compliance and inspection readiness; ensure method selection/validation, proficiency testing, and performance monitoring meet high‑complexity standards.
  • Where appropriate, supervise or partner with site Laboratory Directors and Technical Supervisors; align scientific rigor with quality systems (e.g., ISO 13485, cGMP, 21 CFR Part 11) and the needs of FDA/IVD/IVDR pathways.
Computational Genomics, Data Integrity & Decision Science
  • Lead the bioinformatics vision: validated pipelines for PCR/dPCR/NGS (e.g., variant calling, transcriptomics, metagenomics), reproducible workflows, and secure, audit‑ready data management.
  • Embed HIPAA/GDPR‑aligned data governance and healthcare interoperability (e.g., HL7/FHIR) into product and clinical reporting; champion cloud/HPC and ML where they add measurable value.
Biobank & Control/Reference Material Strategy
  • Establish/scale biospecimen and control‑material programs to underpin assay development and clinical deployment—covering collection, cryopreservation, chain‑of‑custody, stability programs, and large‑batch QC.
  • Anchor operations to international biobank standards and robust LIMS practices; align output with the needs of R&D, clinical validation, and commercial supply.
Research Excellence, Publishing Culture & Talent Development
  • Set the bar for scientific rigor, reproducibility, and publication impact; guide manuscript strategy, conference presence, and grant/consortium participation.
  • Build and mentor a deep bench of scientific leaders; cultivate a lab culture that values documentation, peer review, and cross‑functional learning.
External Partnerships & Ecosystem Leadership
  • Develop strategic collaborations with academic centers, healthcare systems, KOLs, and industry partners; represent with regulators, payers, and standards bodies.
  • Support BD/investor dialogues and technical due diligence for partnerships, acquisitions, and novel platform evaluations.
Success Outcomes (12–18 Months)
  • A resourced, staged scientific roadmap with 2–3 platform bets and 4–6 high‑value assay or product programs advancing through formal design control.
  • Clinically grounded validation plans and traceable data packages supporting CLIA deployment and/or IVD pathways; zero‑major‑findings inspection posture maintained across sites.
  • Production‑grade bioinformatics pipelines with documented version control, audit trails, and reporting frameworks integrated into wet‑lab workflows.
  • Scaled biobank/control‑material capability with stability models and LIMS/QC dashboards informing assay performance.
  • Visible external footprint—invited talks, senior‑author publications, and IP filings arising from assay/platform innovation.
Required Qualifications
  • PhD or MD/PhD in Molecular Biology, Genetics, Biochemistry, Bioengineering, Computational Biology, or a closely related field; 15+ years of progressive scientific leadership with successful product commercialization in molecular…
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