Pay
In line with similar jobs
$130K–$170K against $118K–$194K, the middle half of what similar US postings state.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Palo Alto, CA
Live, first seen by us todaySalary 130,000 – 170,000 USD per year We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Read the full posting
Employment type Full-Time
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
The Senior Data Scientist will partner with assay development, lab operations, quality, regulatory, and software teams to support DELFI’s LDT and IVD early cancer detection assays as they move from late development into commercial use.
Design studies and analyze assay performance data to guide product decisions
Develop statistical methods for production monitoring and reagent, control, and instrument qualification
Assess impact of reagent, instrument, software, and process changes; run bridging studies
Support verification and transfer to production, including defining acceptance criteria
Lead data analysis for troubleshooting, investigations, and root cause analysis
The Senior Data Scientist will partner with assay development, lab operations, quality, regulatory, and software teams to support DELFI’s LDT and IVD early cancer detection assays as they move from late development into commercial use. The role focuses on study design and data analysis that keep our products performing reliably, including performance monitoring frameworks, change impact assessments, and bridging studies for LDT updates, as well as supporting verification and transfer to production. As products evolve, this person will also contribute to assay development work. The ideal candidate brings strong statistical foundations, experience in regulated diagnostics, and the ability to work independently across the later stages of the product lifecycle.
Design studies and analyze data to evaluate assay performance and inform product decisions.
Develop statistical methods for production monitoring and for qualifying reagents, controls, and instruments across LDT and IVD products.
Assess the impact of reagent, instrument, software, and process changes, and design and analyze bridging studies for LDT updates.
Support verification and transfer to production for LDT and IVD products, including defining acceptance criteria.
Lead data analysis for troubleshooting, investigations, and root cause analysis
Required - Master’s degree in Statistics, Biostatistics, Applied Math, Bioinformatics, Engineering, or a related quantitative field; PhD preferred. - Five or more years of experience in scientific data analysis, including at least three years in Python or R (Python preferred).
In our passionate pursuit to radically improve health outcomes, we serve humanity when we:
In the employer’s words · Read in context
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In line with similar jobs
$130K–$170K against $118K–$194K, the middle half of what similar US postings state.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
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- Lead data analysis for troubleshooting, investigations, and root cause analysis, and contribute to assay development as products evolve. - Produce well-documented code (Python preferred, R acceptable) that meets quality system and software team standards. What You'll Bring
- Master’s degree in Statistics, Biostatistics, Applied Math, Bioinformatics, Engineering, or a related quantitative field; PhD preferred. - Five or more years of experience in scientific data analysis, including at least three years in Python or R (Python preferred). - Strong foundations in probability theory and statistics, including hypothesis testing, confidence intervals, parameter estimation, equivalence testing, and variance components.
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Yes. We’ve followed one other Senior Data Scientist, Assay Development job there since August 2026. It came down after 46 days.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The Senior Data Scientist will partner with assay development, lab operations, quality, regulatory, and software teams to support DELFI’s LDT and IVD early cancer detection assays as they move from late development into commercial use. The role focuses on study design and data analysis that keep our products performing reliably, including performance monitoring frameworks, change impact assessments, and bridging studies for LDT updates, as well as supporting verification and transfer to production. As products evolve, this person will also contribute to assay development work. The ideal candidate brings strong statistical foundations, experience in regulated diagnostics, and the ability to work independently across the later stages of the product lifecycle.
Design studies and analyze data to evaluate assay performance and inform product decisions.
Develop statistical methods for production monitoring and for qualifying reagents, controls, and instruments across LDT and IVD products.
Assess the impact of reagent, instrument, software, and process changes, and design and analyze bridging studies for LDT updates.
Support verification and transfer to production for LDT and IVD products, including defining acceptance criteria.
Support regulatory submissions (CLIA/CAP, NYS, FDA as applicable) with rigorous, well-documented analyses.
Lead data analysis for troubleshooting, investigations, and root cause analysis, and contribute to assay development as products evolve.
Produce well-documented code (Python preferred, R acceptable) that meets quality system and software team standards.
Required
Master’s degree in Statistics, Biostatistics, Applied Math, Bioinformatics, Engineering, or a related quantitative field; PhD preferred.
Five or more years of experience in scientific data analysis, including at least three years in Python or R (Python preferred).
Strong foundations in probability theory and statistics, including hypothesis testing, confidence intervals, parameter estimation, equivalence testing, and variance components.
Experience in a regulated diagnostics environment (IVD, LDT, or similar), including designing, analyzing, and documenting verification, validation, or change assessment studies.
Demonstrated ability to independently lead study design and analysis with cross-functional teams.
Ability to connect assay chemistry to data behavior to troubleshoot performance issues.
Familiarity with Design of Experiments and related quality methods (statistical process control, measurement systems analysis, Six Sigma/DMAIC).
Preferred
Experience supporting launched assays, including production monitoring, lot qualification, or post-market changes.
Experience supporting assay transfer from development into production or a clinical laboratory.
Exposure to NGS-based assays, including sequencing QC and batch variability.
Familiarity with FDA design controls and IVD submissions.
130,000 – 170,000 USD per year
Full-Time
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Salary 130,000 – 170,000 USD per year We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Palo Alto, CA
Working pattern and location restrictions need checking in the full posting.
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