Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$105к-120к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.4к - $4.6к)
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У роли понятный исследовательский фокус, подробно описанные задачи и актуальная работа с мультиомными данными, но льготы и научная среда не компенсируют зарплату ниже рынка.
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Зарплата ниже рынкаАктуальные инструментыПонятные задачиПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Bioinformatics / Data Scientist (Multi-Omics): Analyze multi-omics data from organoid systems and normal tissues while developing computational pipelines for quality control, statistical analysis, and organoid quality assessment, with an accent on single-cell analysis, biomarker discovery, and experimental design. Focus on integrating public datasets for benchmarking, interpreting results with wet-lab teams, and communicating findings through manuscripts and scientific conferences.
Location: Remote
Salary: $105,000–$120,000 USD annual base compensation
Company
hirify.global is a bioscience and information technology company developing translational research, biomedical informatics, and data science solutions for research centers and healthcare organizations, including organizations associated with the National Institutes of Health.
What you will do
Analyze multi-omics datasets, including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from organoid systems and corresponding normal tissues.
Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
Consult with wet-lab teams on experimental design and collaborate on protocol optimization.
Integrate internally generated and publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
Interpret results with experimental teams and contribute to manuscript preparation and scientific conference presentations.
Requirements
PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
Extensive experience with single-cell data analysis, including Seurat, Scanpy, or comparable platforms.
Strong programming proficiency in R and Python, with experience in statistical analysis and data visualization.
Basic knowledge of proteomics and metabolomics data.
Nice to have
Prior experience analyzing organoid datasets.
Experience with machine learning approaches for biological data, pathway analysis tools, and developmental biology principles.
Experience with high-performance computing environments and version control systems.
Culture & Benefits
100% medical, dental, and vision coverage for employees.
Paid time off and paid holidays.
401(k) match of up to 5%.
Educational benefits for career growth.
Flexible spending accounts for healthcare, parking, dependent care, and transportation.
Employee referral bonus.
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