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Niche life-sciences plus GenAI specialization reduces applicants despite EPAM brand, yielding medium competition.
Requires deep life-sciences and molecular biology expertise, limiting cross-industry transferability.
Explicit 7-15 years, required life-sciences domain knowledge and GenAI/no-code skills make filters strict.
Understand and translate complex Life Sciences workflows from stakeholders in R&D, clinical trials, regulatory affairs, and commercial operations into clear business and functional requirements.
Rapidly develop prototypes and proofs of concept using GenAI tools, LLM assistants, and low-code/no-code platforms to validate AI-driven business solutions.
Drive stakeholder alignment and facilitate Agile processes to support iterative delivery and adoption of AI-based solutions and vibe coding practices.
7-15 years of IT experience with strong expertise in Business Analysis including Requirement Gathering, BRD and FRD documentation.
Domain expertise in Life Sciences including Molecular Biology concepts and workflows relevant to R&D, clinical trials, regulatory affairs, or commercial operations.
Proficiency with AI Agents Frameworks, GenAI tools, LLM assistants, and vibe coding (low-code/no-code platforms).
Experience with Stakeholder Management and Agile methodologies.
Experienced in bridging business strategy and rapid technology execution in the Life Sciences domain with a focus on AI-driven innovation.
Comfortable working in cross-functional, multinational teams to deliver prototypes and measurable solutions using emerging AI and low-code technologies.
Skilled in iterative Agile delivery and stakeholder engagement to ensure prototype validation and adoption.