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Remote Assay Development Scientist Jobs (NOW HIRING)

This role will focus directly on assay and algorithmic development, optimization, and analytical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

This role will focus directly on assay and algorithmic development, optimization, and analytical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Lead the automation, development, optimization, and validation of molecular assays involving DNA ... Strong scientific leadership skills with the ability to influence assay development strategies and ...

Lead the automation, development, optimization, and validation of molecular assays involving DNA ... Strong scientific leadership skills with the ability to influence assay development strategies and ...

$74K - $122K/yr

The candidate will be a key member of a team of Field Applications Scientists, responsible for providing pre- and post-sales assay development and technical support for several product families ...

Senior Field Application Scientist

CA · Remote

$93K - $127K/yr

Promote consumables and assay kits to existing customers. * Continuous Development: * Expand ... Remote work from home office; proximity to a major airport required. * Up to 80% travel expected.

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How much do remote assay development scientist jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote assay development scientist in the United States is $38.66, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $46.15 per hour, depending on experience, location, and employer.

What does a remote assay development scientist do?

A Remote Assay Development Scientist designs, develops, and optimizes laboratory assays—analytical tests used to detect or measure biological or chemical substances—while working from a remote location. They collaborate virtually with research teams to plan experiments, analyze data, and troubleshoot assay performance. Their work is critical in fields such as diagnostics, pharmaceuticals, and biotechnology, ensuring that assays are accurate, reliable, and fit for their intended purpose. This role often involves using specialized software and digital tools to communicate results and manage project workflows.

What are the key skills and qualifications needed to thrive as a remote assay development scientist, and why are they important?

To thrive as a Remote Assay Development Scientist, you need a solid background in biochemistry, molecular biology, or a related field, typically supported by an advanced degree and experience in assay design and validation. Familiarity with laboratory automation software, data analysis platforms, and regulatory compliance tools is essential. Strong problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote collaboration and project management. These skills ensure the accurate development, optimization, and reporting of assays while maintaining productivity and quality in a remote work environment.

What are some common challenges faced by remote assay development scientists, and how can they be addressed?

Remote Assay Development Scientists often face challenges related to limited access to laboratory resources and real-time collaboration with lab-based colleagues. To overcome these, effective communication tools, regular virtual meetings, and clear documentation are essential. Utilizing remote data analysis platforms and project management software can also help ensure progress and alignment. Proactively seeking feedback and maintaining close contact with cross-functional teams supports efficient troubleshooting and project advancement.

What is the difference between Remote Assay Development Scientist vs Remote Laboratory Technician?

AspectRemote Assay Development ScientistRemote Laboratory Technician
Required CredentialsBachelor's or Master's in Life Sciences, relevant lab experienceAssociate's or Bachelor's in Science, technical training
Work EnvironmentDesigning and developing assays, data analysis, remote collaborationPerforming routine lab tasks, sample preparation, data recording
Employer & Industry UsageBiotech, pharma, research institutionsLaboratories, clinical testing facilities, biotech companies
Search & Comparison IntentUnderstanding role differences, career planningJob responsibilities, required skills

The Remote Assay Development Scientist focuses on designing and optimizing assays, requiring advanced scientific knowledge and data analysis skills. In contrast, the Remote Laboratory Technician performs routine lab tasks and sample processing. Both roles are essential in biotech and pharma industries but differ in responsibilities, credentials, and work scope.

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What cities are hiring for Remote Assay Development Scientist jobs?

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Infographic showing various Remote Assay Development Scientist job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $80,420 per year, or $38.7 per hour.

Bioinformatics Scientist -- NGS Assay Development (Remote)

Pillar Biosciences

Remote

$90K - $120K/yr

Full-time

Posted 10 days ago


Job description

Our bioinformatics team develops and supports next-generation sequencing assays for oncology and other human genomic applications. We are seeking a hands-on bioinformatics scientist who can combine strong programming skills with human genomics expertise to support the design, evaluation, and improvement of targeted NGS assays.
This role is well suited to someone who enjoys working directly with sequencing data, investigating unexpected assay behavior, developing reproducible analyses, and translating complex findings into clear technical conclusions. The scientist will work closely with molecular biology, software, product development, regulatory, and clinical teams.
Responsibilities:
  • Develop reproducible analyses and computational workflows in Python, R, and/or Bash to evaluate NGS assay performance.
  • Analyze DNA and RNA sequencing data generated from targeted assays, including SNVs, indels, CNVs, fusions, coverage, assay artifacts, and other performance characteristics.
  • Investigate assay failures and unexpected results using sequencing data, genomic context, experimental metadata, and appropriate statistical or computational approaches.
  • Support development and optimization of targeted amplicon-based NGS assay workflows.
  • Use public genomic and oncology resources such as ClinVar, gnomAD, TCGA/cBioPortal, dbSNP, and primary literature to research genomic targets and interpret assay results.
  • Work closely with molecular biology scientists to translate experimental observations into testable computational analyses and assay improvements.
  • Develop tools, scripts, and analytical methods that improve the efficiency, robustness, or interpretability of assay development.
  • Maintain well-organized, reproducible analyses with clear version control, data provenance, and documentation.
  • Communicate findings through concise technical reports, figures, presentations, protocols, and other documentation that can be understood by both computational and non-computational collaborators.
  • Manage multiple development projects and analyses while maintaining clear records of assumptions, methods, results, and outstanding questions.

Qualifications:
  • MS or PhD in bioinformatics, computational biology, genetics, genomics, or a related field.
  • Demonstrated hands-on programming experience in Python, R, or another general-purpose scientific programming language. Candidates should be comfortable writing their own analysis code rather than relying primarily on graphical or preconfigured analysis tools.
  • Strong knowledge of human genomics and genetic variation.
  • Experience analyzing human NGS data, including alignment, QC, variant analysis, and interpretation.
  • Familiarity with common genomics file formats and tools such as FASTQ, BAM/CRAM, VCF, BED, BWA, samtools, bedtools, GATK, or equivalent tools.
  • Demonstrated ability to independently investigate complex datasets, identify the source of analytical or experimental problems, and communicate conclusions.
  • Strong scientific writing and documentation skills, with evidence of producing reproducible analyses, technical documentation, protocols, reports, publications, or similar work.
  • Strong organizational skills and ability to manage multiple analyses and development activities with appropriate documentation and follow-through.
  • Ability to communicate effectively with molecular biologists, software engineers, and other cross-functional collaborators.

Preferred Qualifications:
  • Experience developing or analyzing targeted NGS assays using amplicon sequencing or hybrid capture.
  • Experience with oncology genomics, somatic variant analysis, low-input DNA, FFPE, cfDNA, or other clinically relevant sample types.
  • Experience evaluating assay performance metrics such as coverage, uniformity, sensitivity, specificity, background error, limit of detection, or variant-calling performance.
  • Experience with primer/probe design, target-region design, or computational support of molecular assay development.
  • Experience developing new algorithms or analytical methods for genomic data.
  • Experience with reproducible development practices using Git, Jira, containers, or similar tools.

$90,000 - $120,000 a year
Please note: You must complete all application questions to be considered for the role
Pillar Biosciences is an equal opportunity employer
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.