Remote Biosample Management Specialist

Natera

United States

Remote

USD 32,000 - 34,000

Full time

5 days ago
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Job summary

Natera in the United States is seeking a Research Associate I to manage biological samples, ensure sample integrity, and support data‑driven research projects in a remote setting. The role emphasizes strict regulatory compliance, quality control, documentation, and collaboration with internal teams.

Ideal candidates have 0–2 years of lab or biorepository experience, familiarity with biosample handling, and proficiency in data tools such as SQL, Python, Excel, and LIMS.

Qualifications

  • Bachelor’s degree in Biological Sciences or related field.
  • 0-2 years in a lab or biorepository setting focusing on sample management and biospecimen processing.
  • Familiarity with biorepository software and data management tools (FreezerPro, LabArchives, LabWare, LIMS).

Responsibilities

  • Oversee collection, preparation, and processing of biological samples per protocols.
  • Maintain documentation and labeling ensuring traceability from collection to storage.
  • Manage sample databases and generate inventory reports and metrics.
  • Ensure proper storage conditions and implement inventory procedures.
  • Collaborate with researchers to prepare data for publications or grants.
  • Mentor staff on best practices in sample handling and data management.

Skills

Bio sample management
Data analysis
HIPAA compliance
SQL
Python
Lab equipment
Documentation
Communication

Education

BSc in Biology

Tools

FreezerPro
LabArchives
LabWare
Snowflake
LIMS

Job description

Natera in the United States is seeking a Research Associate I to manage biological samples, ensure sample integrity, and support data‑driven research projects in a remote setting. The role emphasizes strict regulatory compliance, quality control, documentation, and collaboration with internal teams.

Ideal candidates have 0–2 years of lab or biorepository experience, familiarity with biosample handling, and proficiency in data tools such as SQL, Python, Excel, and LIMS.

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