Ingenium Digital
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a remote, contract basis for over 6 months, paying $40.00 - $45.00 per hour. Requires MS/BS in a relevant field, 0-3 years in biotech/pharma, and expertise in R, Python, and Benchling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
January 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Data Pipeline #Data Science #Data Storage #Datasets #Data Ingestion #Python #Storage #R #Scala
Role description
Overview:
The candidates will join a multidisciplinary team focused on accelerating the digitalization of biological data and enabling data driven scientific innovation. The position will support the development of standardized in vitro/in vivo study workflows and the creation of scalable computational pipelines for multimodal data ingestion and harmonization across the research ecosystem.
Role responsibilities:
• Develop and optimize in vitro study design frameworks through Benchling, including assay templates, sample tracking structures, and standardized data schemas.
• Create and maintain harmonized data storage solutions that ensure consistency across assay types and alignment with internal data standards.
• Collaborate closely with biologists, computational scientists, and data stakeholders to ensure high quality, analysis ready datasets.
• Support in vivo study data capture, ingestion, and standardization across the broader data ecosystem as needed.
• Communicate project progress, challenges, and deliverables proactively with the manager and key stakeholders.
Qualifications:
• MS or BS in Biology, Computational Biology, Data Science, or a related field.
• 0-2 years (MS) or 2-3 years (BS) post-graduate working experience in biotech/pharma industry.
• Familiarity with biological assay data (cell based assays, plate based readouts, etc.).
• Hands on experience with Benchling, including workflow design, build or assay configuration.
• Strong experience developing data pipelines using R or python
Job Types: Full-time, Contract
Pay: $40.00 - $45.00 per hour
Expected hours: 40 per week
Work Location: Remote
Overview:
The candidates will join a multidisciplinary team focused on accelerating the digitalization of biological data and enabling data driven scientific innovation. The position will support the development of standardized in vitro/in vivo study workflows and the creation of scalable computational pipelines for multimodal data ingestion and harmonization across the research ecosystem.
Role responsibilities:
• Develop and optimize in vitro study design frameworks through Benchling, including assay templates, sample tracking structures, and standardized data schemas.
• Create and maintain harmonized data storage solutions that ensure consistency across assay types and alignment with internal data standards.
• Collaborate closely with biologists, computational scientists, and data stakeholders to ensure high quality, analysis ready datasets.
• Support in vivo study data capture, ingestion, and standardization across the broader data ecosystem as needed.
• Communicate project progress, challenges, and deliverables proactively with the manager and key stakeholders.
Qualifications:
• MS or BS in Biology, Computational Biology, Data Science, or a related field.
• 0-2 years (MS) or 2-3 years (BS) post-graduate working experience in biotech/pharma industry.
• Familiarity with biological assay data (cell based assays, plate based readouts, etc.).
• Hands on experience with Benchling, including workflow design, build or assay configuration.
• Strong experience developing data pipelines using R or python
Job Types: Full-time, Contract
Pay: $40.00 - $45.00 per hour
Expected hours: 40 per week
Work Location: Remote
