Senior Information Technology Business Analyst

Sotalent; Princeton (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Requirements gathering

Process mapping

Stakeholder management

Agile/Scrum

SQL

Python

Education

Life Sciences or CS degree

Tools

Power Platform

ServiceNow

GenAI tools

Job description

Senior IT Business Analyst | Life Sciences / Research IT / Digital Solutions

Overview

Senior-level IT Business Analyst role focused on enabling digital transformation within scientific research environments. The role bridges business, science, and technology to define requirements, shape solutions, and support delivery of digital capabilities for research and laboratory operations.

This role goes beyond traditional business analysis, combining requirements definition, solution prototyping, and applied AI enablement to accelerate scientific workflows and improve research productivity.

Key Responsibilities

Research Domain & Stakeholder Engagement

• Develop deep understanding of sample and reagent management workflows in drug discovery
• Partner with scientists, lab teams, and informatics stakeholders to translate scientific needs into digital solutions
• Act as a liaison between research functions and IT delivery teams

Business Analysis & Solution Definition

• Elicit, document, and manage business and system requirements (user stories, process maps, use cases)
• Analyse complex workflows to identify root causes and improvement opportunities
• Define measurable business outcomes and support business case development
• Balance technical feasibility, cost, and business value in solution design decisions
• Communicate insights and recommendations to technical and non-technical stakeholders

Delivery & Prototyping

• Build and validate prototypes, workflows, and lightweight solutions (scripts, UI mockups, or configuration-based tools)
• Support rapid proof-of-concept development to validate requirements
• Collaborate with engineering teams to ensure accurate translation of requirements into delivery
• Define acceptance criteria and support UAT and solution validation

AI & Digital Enablement

• Apply generative AI tools to accelerate analysis, documentation, and workflow design
• Identify opportunities for AI-driven automation in research and lab processes
• Contribute to AI-enabled solution concepts and capability roadmaps
• Promote responsible AI practices including governance, transparency, and bias awareness
• Support adoption of AI tools within business analysis workflows
• Collaborate with product managers, IT partners, and scientific stakeholders
• Mentor junior analysts and support delivery quality across workstreams
• Drive cross-functional alignment and manage stakeholder expectations
• Stay informed on industry trends in lab informatics, AI, and digital research tools

Requirements

Required

• 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

Preferred

• Experience with scientific inventory or lab informatics systems
• Exposure to drug discovery research environments
• Experience with low-code/no-code platforms (e.g., Power Platform, ServiceNow)
• Familiarity with GenAI tools in enterprise settings
• Experience mentoring or leading junior analysts
• BA certification (e.g., IIBA)

Core Focus Areas

• Scientific data and lab workflow digitisation
• Requirements engineering for complex research systems
• AI-enabled business analysis and process optimisation
• Cross-functional delivery in R&D technology environments
• Bridging scientific research with enterprise IT systems