pythondata analysisstatisticsrsix sigmaassay developmentstatistical process controlngsbiostatisticsdesign of experiments
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$130к-170к/год
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Чётко очерченная senior-роль на стыке диагностики рака, геномики и прикладной статистики с заметной ответственностью за проверку и контроль продуктов.
?Работа в регулируемой среде
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Значимая сфера
Актуальные инструменты
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Data Scientist, Assay Development (Diagnostics/NGS): Designing studies and analyzing data for blood-based cancer detection assays, with an accent on statistical rigor, assay performance monitoring, and regulated diagnostics. Focus on developing monitoring methods, assessing reagent and instrument changes, supporting verification and production transfer, and troubleshooting assay performance with Python or R.
Location: Palo Alto, CA, United States; hybrid, with 1–2 designated in-office working days each week for employees living within 50 miles of Palo Alto
Salary: $130,000–$170,000 per year
Company
hirify.global develops blood-based cancer detection tests using machine learning, whole-genome sequencing data, and cell-free DNA fragmentomics. Its FirstLook Lung laboratory-developed test supports lung cancer screening and has not been cleared or approved by the FDA.
What you will do
Design studies and analyze data to evaluate assay performance and inform product decisions.
Develop statistical methods for production monitoring and qualification of reagents, controls, and instruments across LDT and IVD products.
Assess reagent, instrument, software, and process changes and design and analyze bridging studies for LDT updates.
Support verification, production transfer, and definition of acceptance criteria for LDT and IVD products.
Support CLIA/CAP, NYS, and applicable FDA regulatory submissions with rigorous, documented analyses.
Lead troubleshooting, investigations, root cause analysis, and evolving assay development while producing quality-system-compliant code.
Requirements
Master’s degree in Statistics, Biostatistics, Applied Math, Bioinformatics, Engineering, or a related quantitative field; PhD preferred.
At least five years of scientific data analysis experience, including at least three years using Python or R; Python is preferred.
Strong foundations in probability and statistics, including hypothesis testing, confidence intervals, parameter estimation, equivalence testing, and variance components.
Experience in a regulated diagnostics environment such as IVD or LDT, including designing, analyzing, and documenting verification, validation, or change assessment studies.
Ability to independently lead study design and analysis with cross-functional teams.
Ability to connect assay chemistry to data behavior when troubleshooting performance issues.
Familiarity with Design of Experiments and quality methods including statistical process control, measurement systems analysis, and Six Sigma/DMAIC.
Nice to have
Experience supporting launched assays, including production monitoring, lot qualification, or post-market changes.
Experience transferring assays from development into production or a clinical laboratory.
Exposure to NGS-based assays, sequencing QC, and batch variability.
Familiarity with FDA design controls and IVD submissions.
Culture & Benefits
Work in a science-led, pragmatic environment focused on quality, transparency, rigor, and measurable impact.
Collaborate across assay development, laboratory operations, quality, regulatory, and software teams.
Contribute to products intended to improve cancer detection and health outcomes across diverse populations.
Work in a hybrid arrangement with designated office days for employees living within 50 miles of Palo Alto.
Equal opportunity employment with a stated commitment to diversity and non-discrimination.
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