Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$70к-94к/год
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В Company hidden хорошо очерченная роль в известном научном центре: работа даст практический опыт с одноклеточной геномикой и совместными исследовательскими процессами.
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Оплата ниже рынкаСильная научная средаСовременная работа с даннымиПонятные обязанности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Management Specialist (Single-Cell Genomics): Advancing large single-cell and spatial transcriptomic datasets through quality-control and analysis workflows with an accent on data repositories, database tracking, and research data reporting. Focus on evaluating high-volume sequencing data, communicating complex quality metrics, coordinating consortium data releases, and optimizing workflows with software engineers.
Location: Hybrid, Cambridge, MA, United States
Salary: $70,000–$94,000 per year
Company
hirify.global of MIT and Harvard is a biomedical research institute focused on understanding cell-type-specific mechanisms and tissue-level principles underlying variation in human brain biology.
What you will do
Advance large single-cell and spatial transcriptomic datasets through analysis workflows and execute high-volume quality-assessment processes.
Present data-quality metrics to scientific teams, communicate complex findings to interdisciplinary stakeholders, and provide updates at weekly lab meetings.
Coordinate submissions of large datasets to repositories including NeMO and NDA while ensuring compliance with the NIH Data Sharing Policy.
Track and review single-cell libraries in NIMP and serve as the primary contact for consortium data releases.
Collaborate with software engineers, project managers, researchers, laboratory teams, and data analysts to optimize workflows and deliver projects on time.
Prepare research data usage reports, support efficient disk and cloud storage use, and assist with progress reports involving data deliverables.
Requirements
Bachelor’s degree in bioinformatics, computer science, or a related field.
1–2+ years of experience in a high-data-volume scientific environment, including advancing datasets through complex analysis workflows.
Experience working with databases and creating and managing reports such as trend analyses and summary reports.
Working knowledge of at least one scripting language, such as Python or R.
Familiarity with Google Cloud and/or AWS.
Ability to thrive in a fast-paced, rapidly changing environment, organize work effectively, and prioritize tasks thoughtfully.
Expertise using Google Docs and Google Sheets.
Ability to learn new software and technologies and interact effectively with interdisciplinary professional and academic groups.
Nice to have
Experience working with Linux, including working knowledge of Bash.
Experience with NextFlow.
Familiarity with single-cell technologies, including the 10X workflow from sample preparation through data analysis.
Experience working with sequencing output data, including BAM files and FASTQ files.
Culture & Benefits
Collaborative, cross-functional work with laboratory, data analysis, software engineering, project management, and scientific teams.
Medical, dental, vision, life, and disability insurance.
401(k) retirement plan, flexible spending and health savings accounts.
At least 13 paid holidays, winter closure, paid time off, parental and family care leave, and an employee assistance program.
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