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Senior / Staff Scientist, Assay Automation

Clear Labs

Company websiteclearlabs.com (Clear Labs, opens in new tab)

Base salary $120K  to $150K

Employer-published annual base salary, USD. Advertised base range in San Carlos, CA

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  • LocationSan Carlos, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

About Clear Labs

Clear Labs (CL) harnesses the power of next-generation sequencing (NGS) to simplify complex diagnostics for clinical and applied markets. By creating a fully automated platform that brings together DNA sequencing, robotics, and cloud-based analytics, Clear Labs democratizes genomics applications to deliver better clarity. Clear Labs’ turnkey platform accelerates outcomes and improves accuracy from food-borne pathogens to infectious diseases.

Position Summary

You will own the end-to-end performance of NGS assays running on Hamilton Platforms for Illumina-based sequencing assays, from wet lab execution through data interpretation. The work directly determines assay reliability in clinical use and is foundational to scaling our diagnostic platform.

This role is leveled Senior or Staff based on demonstrated scope, autonomy, and track record of shipping NGS assays into regulated environments. We will calibrate level during the interview process.

This is a hands-on role, not a managerial one. It is best suited for scientists who have repeatedly debugged failed NGS experiments and can trace issues across assay design, automated execution, and downstream data.

How This Role Operates

  • Partners daily with Assay Development, Automation Engineering, Bioinformatics, Manufacturing, and Regulatory / Quality.
  • Owns assay performance decisions on assigned product workstreams; signs off on experimental designs, root-cause findings, and verification study conclusions within scope.
  • Expected to escalate cross-functional tradeoffs and regulatory implications to the Director of Assay Development.

Location: San Carlos, CA

Primary Responsibilities

Assay Development (Core)

  • Troubleshoot and optimize full NGS workflows: extraction, fragmentation, end repair, ligation, library prep, target enrichment or amplification, pooling, and sequencing.
  • Identify root causes of assay failures and implement durable, documented fixes.
  • Redesign assay components for robustness, scalability, and reproducibility under production conditions.
  • Lead verification, characterization, and reagent qualification studies that drive assay decisions.
  • Own measurable improvements in assay reliability, variability, and yield on assigned workstreams.

Data Analysis and Experimental Design

  • Analyze sequencing data and run metrics to diagnose performance issues across the wet-to-dry interface.
  • Design experiments using DOE, regression, and hypothesis testing; quantify variance contributions.
  • Build and maintain quantitative performance metrics that characterize assay variability and stability.
  • Conduct reagent stability studies and lot-to-lot qualification.

Automation Integration

  • Develop and troubleshoot assays running on liquid handling automation (Hamilton or equivalent).
  • Partner with automation engineers to translate manual protocols into validated automated workflows.
  • Diagnose and resolve automation-related sources of variability.

Regulatory and Quality

  • Execute work under design controls and a quality management system (ISO 13485 or equivalent).
  • Contribute to analytical validation activities (LoD, precision, specificity, reproducibility, interference).
  • Apply structured problem-solving tools (FMEA, CAPA, change control) as part of routine work.

Requirements

Applicants must be currently authorized to work in the United States on a full-time basis; no visa sponsorship is available for this position.

  • PhD in molecular biology, genomics, bioengineering, or related field, OR equivalent industry experience defined as 8+ years in NGS assay development with at least one shipped IVD, LDT, or commercially deployed assay.
  • Demonstrated hands-on experience developing Illumina NGS assays through to production or clinical use.
  • Track record of leading end-to-end root-cause investigations of complex assay failures.
  • Hands-on experience developing or troubleshooting assays on liquid handling automation (Hamilton or equivalent).
  • Experience working under ISO 13485, FDA design controls, or a comparable regulated quality system.
  • Working proficiency in R, Python, JMP, or equivalent for sequencing data analysis and statistical experimental design (DOE, ANOVA, regression, variance decomposition).

Preferred Experience

  • IVD or LDT assay development for oncology, infectious disease, or similar clinical indications.
  • Hands-on experience with FFPE and/or cfDNA sample types.
  • Experience with hybrid capture target enrichment and/or amplicon-based panel design.
  • Named contribution to a 510(k), De Novo, PMA, or equivalent regulatory submission.
  • Experience integrating assays with downstream bioinformatics pipelines.

What Success Looks Like in the First 12 Months

How We Will Evaluate Candidates

  • Technical depth interview: walk through a real NGS assay failure you debugged end-to-end, including the data you used to localize the root cause.
  • Experimental design exercise: design a study to characterize a defined source of variability under stated constraints.
  • Cross-functional simulation: navigate a tradeoff between assay performance, automation feasibility, and regulatory impact.

Benefits

  • Salary range: $120,000–$150,000
  • Medical, dental, and vision insurance
  • Employer-Sponsored Basic Life/AD&D, Long Term Disability
  • Employee Assistance Program (EAP)
  • Flexible Time Off
  • Stock Option Plan
  • Lunch stipend for days at headquarters

Notice of E-Verify Participation: Clear Labs participates in the federal E-Verify program to confirm the identity and employment eligibility of all newly hired employees. For more information, please review the E-Verify Participation Poster (English/Spanish) and the Right to Work Poster (English/Spanish).

Disclaimer

The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of the Company.

Source: Clear Labs on Workable · View original posting (opens in new tab)

This range next to 4 other live Clear Labs roles with the nearest advertised base floor
Chart as a table
This range next to 4 other live Clear Labs roles with the nearest advertised base floor
RolePublished base
Senior / Staff Scientist, Assay Automation (this listing)$120K - $150K
Senior Field Service Engineer$113,943 - $139,263
Senior Automation Engineer$132,716 - $187,364
Senior Oncology Scientist$145K - $185K
Systems Integration Lead / Process Engineer$160,808 - $196,544

Same $100K to $400K scale as every card. All Clear Labs roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-05-01
Where this pay comes from

Location as the employer wrote it: San Carlos, California, United States

- Salary range: $120,000–$150,000

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.