Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$167к-209к/год
$170к$200кмедиана$230к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $4.8к/мес ($3.8к - $6к)
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Крутая вакансия
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Чётко описанная роль уровня Staff сочетает прикладные ML-исследования, внедрение моделей и геномику в развивающейся сфере диагностики; главный порог входа - глубокая экспертиза в NGS.
?Высокий порог входа
Современный стек
Медицинская диагностика
Понятная роль
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Scientist, Machine Learning (Genomics) (Genomics/NGS): Designing and validating machine learning and deep learning models for genetic and clinical sequencing data with an accent on NGS bioinformatics, statistical rigor, and product-focused algorithm development. Focus on tracing results through sequencing pipelines, designing experiments with molecular biology teams, preventing data leakage, and mentoring scientists on complex modeling problems.
Location: US Remote; United States
Salary: USD 167,400–209,200 per year
Company
hirify.global develops cell-free DNA testing and personalized genetic diagnostics for oncology, women’s health, and organ health.
What you will do
Lead research on machine learning and deep learning models using NGS data and set technical direction for ambiguous problems.
Design, build, benchmark, and validate models and features for Women’s Health and Organ Health products.
Run, interpret, debug, and extend sequencing bioinformatics pipelines, tracing issues through processing steps, data, and biology.
Partner with molecular biology and assay development scientists on study design, controls, data generation, and experimental troubleshooting.
Set standards for validation, performance estimation, leakage prevention, analysis, and technical documentation.
Contribute to invention disclosures, patents, publications, and presentations while mentoring data scientists and bioinformaticians.
Requirements
M.S. or Ph.D. in computer science, applied mathematics, statistics, bioinformatics, computational biology, engineering, or a related quantitative field; equivalent professional depth is accepted.
6+ years of hands-on machine learning and biological or genomic data analysis experience after the degree, including experience from the point at which work became substantially independent.
Track record of leading models or algorithms that reached real use in a product, production pipeline, or relied-upon decision.
Depth in NGS data analysis, including sequencing QC, alignment, quantification, normalization, and sequencing artifacts.
Ability to independently run, read, debug, interpret, and extend NGS bioinformatics pipelines and their components.
Extensive practical experience with machine learning, deep learning, statistics, model validation, and performance estimation on limited or imbalanced data.
Advanced Python and experience with open-source machine learning libraries such as scikit-learn, PyTorch, TensorFlow, or XGBoost in a cloud environment.
Experience processing large datasets and using a query language such as SQL.
Ability to apply mathematical and statistical principles to estimation problems, understand molecular or clinical biomarker assay pipelines, communicate technical results clearly, and deliver complex cross-functional projects.
Nice to have
RNA-seq or small RNA/miRNA experience.
Probabilistic modeling for NGS and omics data.
Diagnostic product development in a regulated or CLIA/CAP setting.
Workflow orchestration with Nextflow, WDL, or Snakemake, and containerization with Docker.
AWS or GCP experience for large-scale machine learning training and inference.
Patents, peer-reviewed publications, or conference presentations.
Experience working in a fast-paced, high-impact small-team environment.
Culture & Benefits
Remote work is available within the United States.
Benefits include medical, dental, vision, life, and disability plans for eligible employees and dependents.
Additional benefits include free testing for employees and immediate families, fertility care, pregnancy and baby bonding leave, 401(k), commuter benefits, and an employee referral program.
AI tools, including coding agents for implementation, analysis, and review, are part of routine work; ownership of shipped output remains with the employee.
hirify.global promotes inclusive collaboration and equal employment opportunity.
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