Senior IT Business Analyst — Life Sciences & AI Enablement

Sotalent

Princeton (NJ)

Sur place

USD 110 000 - 160 000

Plein temps

Il y a 25 heures
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Résumé du poste

Sotalent is seeking a Senior IT Business Analyst to enable digital transformation in life sciences and research IT environments. You will bridge business, science, and technology to define requirements and shape solutions for lab operations.

The role combines AI-enabled analysis, prototyping, and stakeholder collaboration to accelerate scientific workflows and improve research productivity. Strong communication and SQL/Python skills are required.

Qualifications

  • Degree in Life Sciences (Biology, Chemistry, Biochemistry, Bioinformatics) or Technical field (Computer Science, IT, or equivalent).
  • 5+ years’ experience in IT/business analysis within pharma, biotech, or life sciences.
  • Experience with sample and/or reagent management systems or workflows.
  • Strong skills in requirements gathering, process mapping, and stakeholder management.
  • Working knowledge of Agile/Scrum environments.
  • Proficiency in SQL and/or Python.
  • Strong communication and presentation skills.

Responsabilités

  • Research Domain & Stakeholder Engagement: understand workflows and translate scientific needs into digital solutions.
  • Business Analysis & Solution Definition: elicit, document, and manage requirements; analyze workflows and define outcomes.
  • Delivery & Prototyping: build prototypes, support rapid PoC, collaborate with engineering, define acceptance criteria.
  • AI & Digital Enablement: apply GenAI tools to accelerate analysis and promote responsible AI practices.

Connaissances

Requirements gathering
Process mapping
Stakeholder management
Agile/Scrum
SQL
Python

Formation

Life Sciences or CS degree

Outils

Power Platform
ServiceNow
GenAI tools

Description du poste

Sotalent is seeking a Senior IT Business Analyst to enable digital transformation in life sciences and research IT environments. You will bridge business, science, and technology to define requirements and shape solutions for lab operations.

The role combines AI-enabled analysis, prototyping, and stakeholder collaboration to accelerate scientific workflows and improve research productivity. Strong communication and SQL/Python skills are required.

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