Sr. Data Scientist, Assay Development

Menlo Ventures

Palo Alto (CA)

Hybrid

USD 130,000 - 170,000

Full time

11 days ago
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Benefits offered by this job

Flexible time-off policy
401(k) plan
Medical/dental/vision coverage
Onsite lunch 3 days a week
Wellness programs

Job summary

DELFI Diagnostics, Inc. is seeking a Senior Data Scientist to collaborate with lab scientists, clinicians, engineers, and other data scientists to develop statistical methods for early cancer detection.

The role covers assay development, analytical validation, and QC, requiring strong background in probability, statistics, and regulated environments, with emphasis on translating analyses into clear regulatory documentation.

Qualifications

  • Master's degree in Applied Math, Statistics, Bioinformatics, Engineering, or related field; PhD preferred.
  • Five+ years of data analysis experience, with at least 3 years in Python (numpy, pandas).
  • Strong foundations in probability theory and statistics (hypothesis testing, confidence intervals, estimation).
  • Experience in regulated diagnostics (IVD, LDT) with rigorous studies and documentation.
  • Ability to connect assay chemistry to data behavior and troubleshoot performance.

Responsibilities

  • Design analyses for assay development, validation, and QC control.
  • Collaborate with cross-functional teams to design experiments and document results.
  • Contribute statistical methods to control strategy for reagents, instruments, QC.
  • Provide operational data science support for production and run monitoring.
  • Produce high-quality Python code following team best practices.
  • Support regulatory submissions with rigorous, well-documented analyses.

Skills

Statistical analysis
Python programming
Probability & statistics
Regulated diagnostics experience
Data interpretation

Education

Master's degree + PhD preferred

Tools

Python

Job description

About Us

DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA.

Lead with Science, Anchor in Pragmatism

We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction.

Build With & For All

We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class

Put We over I

We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey.

DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto, CA
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
  • Design and execute analyses supporting assay development, analytical validation, and QC and control strategy, applying statistical methods appropriate to regulated diagnostic development

  • 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.

  • Contribute statistical and data science expertise to control strategy development, including qualification and monitoring frameworks for reagents, instruments, and sample level QC.

  • 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.

What You'll Bring

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).

  • Strong foundations in probability theory and statistics, including hypothesis testing, confidence intervals, parameter estimation, and variance components.

  • Experience working in a regulated diagnostics environment (IVD, LDT, or similar), including designing and executing rigorous studies and analyses and documenting them appropriately.

  • Ability to connect assay chemistry to data behavior, applying this understanding to troubleshoot assay performance issues.

Preferred

  • Exposure to NGS based assay development, including familiarity with sequencing data QC and batch level variability.

  • Experience analyzing high dimensional genomic or molecular data.

  • Familiarity with common machine learning techniques and practical experience with implementation and validation.

  • Familiarity with Design of Experiments and related quality methodologies (measurement systems analysis, control charts, Six Sigma/DMAIC).

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.

130000 - 170000 USD a year

Actual base pay will consider experience, skillset, education, and geography.

This role may be eligible for other forms of compensation, including an annual bonus and a new hire equity grant, subject to the terms of the applicable plans and Company discretion.

All employees are also eligible for DELFI's comprehensive and competitive benefits package, including but not limited to:

  • a flexible time-off policy
  • a 401(k) retirement plan
  • an extremely competitive medical, dental, and vision coverage
  • onsite lunch 3 days a week
  • and other wellness related offerings
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