Tekskills Inc.
Benchling
Skills
14 days ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
Job highlights
- Platform Knowledge Hands-on experience with Benchling Core
- Registry
- and specialized modules like Benchling In Vivo
- Experience Required: 6+Years
- Industry Experience Years of experience as a business analyst or implementation manager in Life Sciences RD. Technical Skills: .
Role: Benchling Platform SME
Skills: Digital : Application Programming Interface (API)
Experience Required: 6+Years
Location: Mumbai
Role Descriptions:
- Benchling Subject Matter Expert (SME) bridges the gap between RD science and software| translating complex research workflows into scalable| configured digital solutions.
- They configure the platform| train users| and optimize data models to support digital transformation in life sciences.
Key Responsibilities:
- Platform Configuration Tailor Benchling modules (Registry| Notebook| Workflows| and Inventory) to match specific research and animal study workflows.
- Workflow Translation Gather business requirements from scientists and map them into user stories| process flows| and acceptance criteria.
- System Integration Assist with API-driven integrations| data model definitions| and data migration.
- Testing Adoption Coordinate User Acceptance Testing (UAT)| document system defects| and drive user adoption across the organization.
- Subject Matter Expertise Serve as the primary point of contact for Benchling best practices| experimental data standards| and FAIR data principles.
Qualifications Requirements:
- Education Degree in Life Sciences (Molecular Biology| Biochemistry| Biotechnology| or Biological Engineering).
- Platform Knowledge Hands-on experience with Benchling Core| Registry| and specialized modules like Benchling In Vivo
- Industry Experience Years of experience as a business analyst or implementation manager in Life Sciences RD.
Technical Skills:
- Familiarity with API-driven integrations| scientific data standards| and software implementation SaaS environments.
Soft Skills:
- Excellent stakeholder management| communication| and problem-solving abilities to bridge science and IT
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