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Business Analyst (AI & Data Platforms, Clinical Trials)

  • Ałmaty
  • Astana
  • Belgrad
  • Charków
  • Dnipro
  • Erywań
  • Kijów
  • Kluż-Napoka
  • Kraków
  • Larnaka
  • Łódź
  • Lublin
  • Lwów
  • Odesa
  • Remote.Bulgaria
  • Remote.Georgia
  • Remote.Kazakhstan
  • Remote.Poland
  • Ryga
  • Sofia
  • Tbilisi
  • Warna
  • Warszawa
  • Wrocław
Gorąca ofertaMały zespół (1-10 osób)

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Client

Our client is a contract research organization (CRO) providing full‑service clinical trial management for the pharmaceutical and biotech industries.

Dołącz do świetnej firmy, a nie tylko do indywidualnego projektu

Project overview

The project focuses on developing AI- and data-driven solutions to support clinical trial operations, analytics, and decision‑making. These solutions may include data platforms, analytics dashboards, AI-assisted workflows, and intelligent tools that enhance trial planning, execution, and monitoring. Strong collaboration between business and technical teams is essential.

Team

You will work closely with a cross‑functional delivery team including software engineers, data engineers, AI specialists, QA, and product stakeholders. The team operates in an Agile environment with shared ownership of delivery outcomes, data quality, and solution usability.

Position overview

We are looking for a strong Middle / Middle+ Business Analyst to support a development team delivering AI and data solutions within a clinical research environment. You will act as a key bridge between business stakeholders and technical teams, ensuring that requirements are clearly defined, prioritized, and translated into actionable development tasks.
The role requires a solid understanding of data concepts and AI-related solutions, combined with strong analytical, communication, and documentation skills.

Responsibilities

  • Elicit, analyze, and document business requirements from clinical, operational, and technical stakeholders
  • Translate business needs into clear functional and non-functional requirements, user stories, and acceptance criteria
  • Support backlog refinement, prioritization, and sprint planning activities
  • Ensure alignment between business goals and delivered technical solutions
  • Work with data engineers and AI specialists to define requirements for:
  • Understand data sources, data flows, and key metrics used in clinical trials
  • Assist in defining data quality, validation, and traceability requirements
  • Act as a liaison between clinical operations, product owners, and development teams
  • Facilitate workshops, grooming sessions, and requirement walkthroughs
  • Clarify scope, assumptions, and dependencies with all stakeholders
  • Support demos and review sessions with business users
  • Create and maintain project documentation (BRDs, FRDs, user stories, process diagrams)
  • Support change management and impact analysis for evolving requirements
  • Ensure requirements align with regulatory and compliance expectations typical for clinical research environments (e.g., GxP-related considerations)
  • Review delivered functionality against acceptance criteria
  • Continuously refine requirements based on feedback and project learnings

Requirements

  • 5+ years of experience as a Business Analyst or similar role in software or data projects
  • Experience supporting development teams in Agile/Scrum environments
  • Strong skills in requirements elicitation, documentation, and backlog management
  • Practical understanding of data-driven systems, analytics platforms, or AI-enabled solutions
  • Ability to communicate effectively with both business and technical stakeholders
  • Experience writing user stories, use cases, and acceptance criteria
  • Familiarity with SQL, data models, APIs, or system integrations (conceptual level is sufficient)
  • Strong analytical thinking and problem-solving skills
  • Comfortable working in structured, regulated environments

Nice to have

  • Experience working in clinical trials, life sciences, pharma, or CRO environments
  • Exposure to AI/ML concepts, analytics, or data science projects
  • Experience with data platforms, BI tools, or dashboards
  • Understanding of validation, auditability, or compliance requirements (GxP, 21 CFR Part 11, etc.)
  • Familiarity with tools such as Jira, Confluence, Miro, or similar
  • Experience working with globally distributed teams
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