Data Steward, Systems Pharmacology Lab

Harvarduniversity

Boston (MA)

Hybrid

USD 75,000 - 125,000

Full time

6 days ago
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Benefits offered by this job

Paid time off
Health insurance
Retirement plans
Wellbeing resources
Family support
Tuition assistance

Job summary

Harvard Medical School's Laboratory of Systems Pharmacology (LSP) and Program in Therapeutic Science in Boston, MA, seeks a Data Manager to curate clinical and experimental data, manage storage, and support open science initiatives. The role involves maintaining public data portals and contributing to lab websites.

The candidate will collaborate with senior data managers and the director of software engineering, participate in grant and manuscript writing, and train lab members while ensuring

Qualifications

  • Minimum of two years' post-secondary education or relevant work experience.
  • Bachelor's degree strongly preferred; master's in library/information science or equivalent is a plus.
  • Knowledge of open science, FAIR principles, and research data management is desirable.
  • Experience in an academic library or biomedical research setting is a plus.

Responsibilities

  • Manage day-to-day data management and storage on institutional and cloud resources.
  • Maintain and explain LSP research data via scientific websites (e.g., graybrcaatlas.org).
  • Contribute to grant and manuscript writing and assist with training lab members.

Skills

Biology background
Information science background
Attention to detail
Written and verbal communication

Education

Bachelor's degree preferred
Master's degree in library/information science or equivalent

Tools

Web development
Content management

Job description

Harvard Medical School's Laboratory of Systems Pharmacology (LSP) and Program in Therapeutic Science in Boston, MA, seeks a Data Manager to curate clinical and experimental data, manage storage, and support open science initiatives. The role involves maintaining public data portals and contributing to lab websites.

The candidate will collaborate with senior data managers and the director of software engineering, participate in grant and manuscript writing, and train lab members while ensuring

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