

Scientific Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Scientific Business Analyst with a contract length of "unknown" and a pay rate of "$XX/hour." It requires an advanced degree in life sciences, 5–8+ years in biopharmaceuticals, and expertise in LIMS, ELN, or AWS.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Tarrytown, NY
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🧠 - Skills detailed
#Cloud #Data Management #Computer Science #Requirements Gathering #Data Quality #AWS (Amazon Web Services) #Documentation #Data Integrity #Business Analysis
Role description
Role Overview:
We are seeking a Scientific Business Analyst to support a leading biopharmaceutical organization. This role involves partnering with scientific and IT teams to translate research needs into practical technological solutions, improving lab workflows, and enhancing data quality.
Responsibilities:
• Gather and analyze business requirements from scientific teams, translating them into actionable specifications for technical development.
• Map existing laboratory workflows and design improved processes to address key operational challenges.
• Work closely with research scientists, IT staff, and project managers to define system functionality and ensure alignment with business objectives.
• Manage and prioritize requests from stakeholders, maintaining a clear and actionable backlog.
• Investigate and resolve data integrity issues, collaborating with IT and business teams to implement effective solutions.
• Recommend process improvements to enhance efficiency, usability, and data management in laboratory systems.
Required Skills & Experience:
• Advanced degree (Master’s or Ph.D.) in life sciences, with knowledge of IT or computer science concepts.
• 5–8+ years of experience in pharmaceutical, biotechnology, or research settings.
• Hands-on experience with LIMS, ELN, or cloud-based platforms such as AWS.
• Knowledge of bioanalytical processes including assay development, bioanalysis, quality control, and scientific documentation.
• Familiarity with regulatory standards and reporting requirements (e.g., ICH, DIA CTD).
• Ability to perform business process analysis, requirements gathering, and workflow optimization.
• Experience with laboratory software such as Benchling or Dotmatics is a plus.
• Strong problem-solving mindset and excellent communication skills.
Role Overview:
We are seeking a Scientific Business Analyst to support a leading biopharmaceutical organization. This role involves partnering with scientific and IT teams to translate research needs into practical technological solutions, improving lab workflows, and enhancing data quality.
Responsibilities:
• Gather and analyze business requirements from scientific teams, translating them into actionable specifications for technical development.
• Map existing laboratory workflows and design improved processes to address key operational challenges.
• Work closely with research scientists, IT staff, and project managers to define system functionality and ensure alignment with business objectives.
• Manage and prioritize requests from stakeholders, maintaining a clear and actionable backlog.
• Investigate and resolve data integrity issues, collaborating with IT and business teams to implement effective solutions.
• Recommend process improvements to enhance efficiency, usability, and data management in laboratory systems.
Required Skills & Experience:
• Advanced degree (Master’s or Ph.D.) in life sciences, with knowledge of IT or computer science concepts.
• 5–8+ years of experience in pharmaceutical, biotechnology, or research settings.
• Hands-on experience with LIMS, ELN, or cloud-based platforms such as AWS.
• Knowledge of bioanalytical processes including assay development, bioanalysis, quality control, and scientific documentation.
• Familiarity with regulatory standards and reporting requirements (e.g., ICH, DIA CTD).
• Ability to perform business process analysis, requirements gathering, and workflow optimization.
• Experience with laboratory software such as Benchling or Dotmatics is a plus.
• Strong problem-solving mindset and excellent communication skills.