Crossing Hurdles

Biomedical Data Specialist | $60/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Biomedical Data Specialist, a contract position paying $60/hr, requiring expertise in stem cell biology and a degree in a related field. Strong communication skills and familiarity with data analysis are essential. Remote work location.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
May 23, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Analysis #Quality Assurance #Datasets
Role description
Position: Cell/Molecular Biologist (Stem Cells) Type: Contract Compensation: $40 - $60/hour Location: Remote Role Responsibilities β€’ Develop and review training and evaluation materials related to stem cell biology for AI model development. β€’ Provide subject matter expertise in cellular and molecular biology, ensuring scientific accuracy across datasets and content. β€’ Collaborate with interdisciplinary teams to define standards and best practices for biological data annotation and rubric design. β€’ Analyze, interpret, and validate complex biological information with a focus on stem cell systems. β€’ Deliver constructive written and verbal feedback to ensure high-quality deliverables and consistent knowledge transfer. β€’ Contribute to the continual improvement of rubric guidelines based on user and model requirements. Requirements β€’ Have a Bachelor's degree or higher in Biology, Molecular Biology, Cellular Biology, or a closely related discipline. β€’ Demonstrate expertise in stem cell biology, including lab or research experience. β€’ Possess strong proficiency in written and verbal communication, capable of explaining complex concepts clearly. β€’ Have a solid background in cellular and molecular biology principles and techniques. β€’ Be familiar with data analysis, interpretation, and quality assurance in a scientific context. Application Process β€’ Easy Apply on LinkedIn β€’ Check email for next steps β€’ Participate in resume evaluation & interview stage