Sr. Data Scientist, Assay Development
Palo Alto, CA
- Pay
USD 130,000–170,000/year — pay source
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.
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-Time
Read the full posting
What you’ll work on
Full postingThe Senior Data Scientist will collaborate with a cross-functional team of laboratory scientists, clinicians, engineers, and other data scientists to develop statistical analysis methods supporting early cancer detection assays.
Produce high quality Python code following best practices established by the software development team.
Support regulatory submissions (CLIA/CAP, NYS, FDA as applicable) with rigorous, well documented analysis.
From the employer’s posting
The Senior Data Scientist will collaborate with a cross-functional team of laboratory scientists, clinicians, engineers, and other data scientists to develop statistical analysis methods supporting early cancer detection assays. This role spans assay development, analytical validation, and QC and control strategy, contributing to products advancing through verification, validation, and regulatory submission toward clinical use. The ideal candidate brings strong foundations in probability theory and statistics, applied experience in a regulated diagnostics or similarly rigorous data environment, and the ability to translate complex analyses into clear documentation for cross-functional and regulatory audiences.
Provide operational data science support for production and LDT/IVD run monitoring, including troubleshooting assay performance issues, trending QC metrics, and supporting root cause investigations. Produce high quality Python code following best practices established by the software development team. Support regulatory submissions (CLIA/CAP, NYS, FDA as applicable) with rigorous, well documented analysis.
Produce high quality Python code following best practices established by the software development team. Support regulatory submissions (CLIA/CAP, NYS, FDA as applicable) with rigorous, well documented analysis. What You'll Bring
Education & alternatives
Required - Master's degree in Applied Math, Statistics, Bioinformatics, Engineering, or a related quantitative field; PhD preferred. - Five or more years of practical experience in scientific or mathematical data analysis, with at least three years in Python (numpy, pandas, and similar).
Tools in this posting
- Python
- NumPy
- pandas
Source — Tool mentions in context
- Provide operational data science support for production and LDT/IVD run monitoring, including troubleshooting assay performance issues, trending QC metrics, and supporting root cause investigations. - Produce high quality Python code following best practices established by the software development team. - Support regulatory submissions (CLIA/CAP, NYS, FDA as applicable) with rigorous, well documented analysis.
- Master's degree in Applied Math, Statistics, Bioinformatics, Engineering, or a related quantitative field; PhD preferred. - Five or more years of practical experience in scientific or mathematical data analysis, with at least three years in Python (numpy, pandas, and similar). - Strong foundations in probability theory and statistics, including hypothesis testing, confidence intervals, parameter estimation, and variance components.
About Delfidiagnostics
In our passionate pursuit to radically improve health outcomes, we serve humanity when we:
In the employer’s words · Read in context
Job description
About the Role
The Senior Data Scientist will collaborate with a cross-functional team of laboratory scientists, clinicians, engineers, and other data scientists to develop statistical analysis methods supporting early cancer detection assays. This role spans assay development, analytical validation, and QC and control strategy, contributing to products advancing through verification, validation, and regulatory submission toward clinical use. The ideal candidate brings strong foundations in probability theory and statistics, applied experience in a regulated diagnostics or similarly rigorous data environment, and the ability to translate complex analyses into clear documentation for cross-functional and regulatory audiences.
What You'll Do
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Design and execute analyses supporting assay development, analytical validation, and QC and control strategy, applying statistical methods appropriate to regulated diagnostic development
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Collaborate cross-functionally with assay development, lab operations, and software teams to design experiments, interpret results, and produce documentation meeting quality system and regulatory standards.
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Contribute statistical and data science expertise to control strategy development, including qualification and monitoring frameworks for reagents, instruments, and sample level QC.
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Provide operational data science support for production and LDT/IVD run monitoring, including troubleshooting assay performance issues, trending QC metrics, and supporting root cause investigations.
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Produce high quality Python code following best practices established by the software development team.
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Support regulatory submissions (CLIA/CAP, NYS, FDA as applicable) with rigorous, well documented analysis.
What You'll Bring
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Master's degree in Applied Math, Statistics, Bioinformatics, Engineering, or a related quantitative field; PhD preferred.
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Five or more years of practical experience in scientific or mathematical data analysis, with at least three years in Python (numpy, pandas, and similar).
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Strong foundations in probability theory and statistics, including hypothesis testing, confidence intervals, parameter estimation, and variance components.
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Experience working in a regulated diagnostics environment (IVD, LDT, or similar), including designing and executing rigorous studies and analyses and documenting them appropriately.
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Ability to connect assay chemistry to data behavior, applying this understanding to troubleshoot assay performance issues.
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Exposure to NGS based assay development, including familiarity with sequencing data QC and batch level variability.
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Experience analyzing high dimensional genomic or molecular data.
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Familiarity with common machine learning techniques and practical experience with implementation and validation.
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Familiarity with Design of Experiments and related quality methodologies (measurement systems analysis, control charts, Six Sigma/DMAIC).
Required
Preferred
Salary
130,000 – 170,000 USD per year
Employment type
Full-Time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Palo Alto, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 29, 2026
- Recorded sightings
- 10
- Last seen by us
- Oct 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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