Hello,
Hope you are doing well !!!
We are constantly on the lookout for professionals to fulfil the staffing needs of our clients, and we currently have a job opening that may interest you.
Job title : Scientific Business Analyst
Position type : 6 months contract
Location :Hybrid Tarrytown NYC (3-4 days ideally onsite, but he said he'll try to make an exception for a rockstar candidate for 1 to 2 days per week)
Position summary
The Scientific Business Analyst will serve as the bridge between Product Biochemistry scientists, operational stakeholders, and Digital & Technology delivery teams. The analyst will lead scientific workflow discovery, requirements elicitation, process and data analysis, delivery readiness, and change management for PB's 2027 digital portfolio.
The role will initially focus on:
- Expanding standardized, multimodal inventory management in Labware LIMS.
- Defining end-to-end generation and lifecycle workflows for Critical Protein Reagents, Assay Kits, and AAV Reference Standards.
- Establishing structured metadata and traceability from generation through registration, inventory, re-certification, expiry, and distribution.
- Enabling connected workflows across scientific request, registration, eLN, reporting, automation, biobank, and tracking platforms.
- Helping PB reduce manual data entry and reconciliation while improving visibility into material availability, restrictions, request status, and workflow bottlenecks.
Required background and experience
- Experience in business analysis, scientific informatics, product analysis, or process analysis within biotechnology, pharmaceutical R&D, laboratory operations, or a closely related scientific environment.
- Demonstrated success eliciting requirements from scientists and operational stakeholders and translating them into clear, testable, technology-ready specifications.
- Experience mapping complex laboratory or scientific-material workflows involving handoffs between requestors, bench scientists, registration, inventory, and distribution teams.
- Experience with LIMS and/or eLN platforms and with sample, material, reagent, lot, or inventory lifecycle management.
- Strong skills in:
- Process and workflow modeling
- Scientific data analysis and data modeling
- Business-rule definition
- User stories and acceptance criteria
- Backlog refinement and prioritization
- Requirements traceability
- Experience coordinating business acceptance testing, data validation, release readiness, and post-release support.
- Experience assessing data quality and supporting data mapping, curation, migration, reconciliation, and exception resolution.
- Ability to define integration requirements across scientific systems, including identifiers, data exchange, event triggers, status synchronization, failures, and controls.
- Change-management experience associated with laboratory or scientific workflow implementations, including impact assessment, communications, training, adoption measurement, and reinforcement.
- Strong facilitation and communication skills, including the ability to resolve ambiguity and align scientists, managers, product owners, engineers, and partner teams.
Preferred background
- Degree or equivalent practical experience in life sciences - MS, Ph.D preferred
- Familiarity with Product Biochemistry, protein or biophysical characterization, critical reagents, reference standards, assay kits, or scientific-material generation.
- Strong Business and Data Analyst experience designing and overseeing change management of workflows and data models that balance reusable standards to support a wide array of Analysis methods and instrumentation.
- Familiarity with protein biochemistry, protein or biophysical characterization, workflows supporting the generation of biological materials, certificate of analysis (PB calls them SofA) and/or biological material comparability studies.
- Experience supporting multiple material modalities rather than a single protein-centric workflow.
- Hands-on experience with Labware LIMS or a comparable LIMS.
- Experience connecting a LIMS with eLN, scientific request, material registration, analytics, laboratory automation, biobank, or last-mile tracking platforms.
- Experience designing workflows and data models that balance reusable standards with modality-specific scientific requirements.
- Experience delivering programs involving independently managed systems, phased releases, cross-team dependencies, and limited scientist availability.
Thanks,
_______________________________________
Ayushi Rastogi | New York Technology Partners
120 Wood Avenue S | Suite 504 | Iselin NJ 08830
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