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Business Analyst Life Sciences R&D Platform

00068741131

Role Overview

Experienced BA needed to join Cognizant's Life Sciences R&D platform delivery team. You will bridge PhD-level scientific stakeholders and engineering teams — translating omics, biomarker, and molecular research workflows into clear, testable requirements across a multi-phase agile programme.

Key Responsibilities

  • Capture end-to-end scientific workflows spanning compound management, assay data, and multi-omics (RNA-Seq, scRNA-Seq, proteomics) and translate into user stories, functional specs, and acceptance criteria

  • Articulate non-functional requirements across data governance, access control, regulatory traceability, and FAIR data principles

  • Collaborate with Solution Architects on cloud-native platform architecture — defining API contracts, data flows, and integration logic across LIMS, ELN, and CDW systems

  • Support definition of entity resolution logic (deterministic, NLP, and LLM-assisted matching) from a functional perspective

  • Own backlog grooming and sprint ceremonies across iterative delivery, acting as primary functional escalation point during build and integration

  • Define and execute SIT/UAT validation scenarios covering data normalisation, pipeline performance, and scientist-facing workflow behaviour

Skills & Experience

  • Proven BA experience on data or platform programmes in life sciences or pharma R&D

  • Domain fluency across omics data types, biomarker discovery, or translational research workflows

  • Familiarity with research informatics systems — LIMS, ELN, CDW, or equivalent

  • Understanding of cloud-native data architectures — data lakes, APIs, and integration patterns (Azure, AWS, or GCP)

  • Working knowledge of ML/AI concepts — NLP, entity resolution, vector search, and active learning

  • Agile delivery experience across multi-release programmes with continuous requirements refinement

  • Confident communicating with PhD-level researchers, R&D leads, and C-suite stakeholders

Working Model

Reports to Delivery Manager / Product Lead. Collaborates daily with Architecture, Engineering, QA, and client-side scientific stakeholders.


About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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