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6 дней назад

Data Management Specialist (Single-Cell Genomics)

70 000 - 94 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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