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Business Analyst- Pharma

6 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Company Description


Overview

Business Analyst


Key Responsibilities & Skills

  • Lead 

    business process assessments

     for pharma and biotech clients, including R&D, clinical operations, regulatory affairs, manufacturing, and commercial functions.
  • Facilitate discovery workshops to capture 

    as-is

     business operations and co-design 

    to-be

     states augmented by GenAI capabilities.
  • Translate complex operational and scientific workflows into structured process maps, identifying high-impact areas for GenAI automation (e.g., document summarization, regulatory response drafting, workflow orchestration).
  • Develop business and functional requirements for GenAI-enabled solutions 
  • Produce and maintain SOPs, workflows, playbooks, and operational blueprints aligned with compliance requirements (e.g., GxP, FDA, EMA).
  • Collaborate with technical, data, and AI engineering teams to implement and validate GenAI-driven capabilities.
  • Define and track key performance indicators (KPIs) and process transformation metrics.
  • Support testing and implementation of AI solutions


Qualifications

  • 4–6+ years of experience in 

    business process analysis

    , digital transformation, or IT consulting with experience in 

    life sciences (pharma, biotech, CROs)

    .
  • Strong understanding of drug development lifecycle and core pharma operations (e.g., clinical trials, PV, regulatory, supply chain, medical affairs, patient engagement)
  • Familiarity with 

    AI and automation technologies

    , including Intelligent Automation, LLMs, NLP, and GenAI platforms.
  • Experience working with cross-functional stakeholders in highly regulated industries.
  • Proficiency with tools such as process mapping software (e.g., Lucidchart, Visio), requirements management, and collaboration platforms.
  • Skilled in Agile methodologies and DevOps-aligned delivery environments.
  • Strong facilitation, critical thinking, and documentation skills.
  • Entrepreneurial mindset with curiosity for AI-driven transformation.
  • Bachelor's degree required; preferred disciplines include 

    Life Sciences, Engineering, Information Systems, or Business Management

    . Advanced degrees are a plus.


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