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Adroit People Limited (UK)

Business Analyst (Pharma/Life Science)

Stevenage
Posted about 22 hours ago
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Role: Business Analyst (Pharma/Life Sciences)

Permanent/6 to 12 Months Fixed Term Full Time Employment

Location: Stevenage, UK (3 days Onsite)

We are seeking an experienced Business Analyst to join a large-scale R&D data engagement with a leading global pharmaceutical company, focused on the analysis, mapping, and business interpretation of raw scientific instrument and equipment data. The role sits at the intersection of laboratory science and business/data analysis — translating raw outputs from instruments such as plate readers, Raman spectrometers, and cell counters into structured, business-relevant insights, mappings, and documentation that support downstream data and analytics initiatives across the R&D function.

This is a domain-rich role suited to a senior Business Analyst who understands laboratory/instrument data generation processes and can bridge the gap between scientific/technical data producers and business/data teams consuming that data.

Key Responsibilities

  • Analyse raw instrument and equipment data (e.g., plate readers, Raman instruments, cell counters, and similar lab equipment) to understand data structure, format, and business meaning.
  • Perform business analysis and requirements gathering with scientists, lab operations teams, and data engineering/architecture teams to define how instrument data should be interpreted, structured, and used.
  • Create and maintain data mapping documentation — mapping raw instrument outputs to standardised business/data models, taxonomies, or ontologies used across R&D.
  • Document business rules, transformation logic, and data lineage from instrument source to downstream systems (e.g., data lakes, analytics platforms).
  • Collaborate with data architects, data engineers, and scientists to ensure business context is accurately reflected in technical data models.
  • Identify data quality issues, gaps, or inconsistencies in instrument data and work with stakeholders to define resolution approaches.
  • Support the creation of process flows, data dictionaries, and business glossaries specific to instrument/equipment data domains.
  • Translate complex scientific/instrument outputs into clear business requirements and user stories for technical delivery teams, managed and tracked via Azure DevOps (ADO).
  • Engage with cross-functional stakeholders (lab scientists, informatics teams, data governance, IT) to ensure alignment between scientific intent and data/business outcomes.
  • Support UAT (User Acceptance Testing) and validation of data mappings and business rules against real instrument data.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Required Skills & Experience

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  • 8+ years of experience as a Business Analyst, ideally within a life sciences, pharmaceutical, or scientific R&D environment.
  • Familiarity with laboratory instruments and equipment data — exposure to plate readers, Raman spectroscopy, cell counters, or similar analytical instruments is highly desirable.
  • Strong track record in data mapping, business analysis, and requirements documentation practices.
  • Ability to interpret raw scientific/instrument data outputs and translate them into structured business logic.
  • Experience working with data governance, data quality, or data architecture teams in a large enterprise setting.
  • Strong stakeholder management skills — comfortable engaging both scientific/technical SMEs and senior business/data stakeholders.
  • Excellent documentation skills — data dictionaries, business glossaries, process/data flow diagrams, mapping specifications.
  • Hands-on experience with Azure DevOps (ADO) for Agile delivery — backlog, user stories, sprint tracking.
  • Understanding of pharma R&D processes (e.g., experimental workflows, lab data lifecycle) is a strong advantage.
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Skills

Business Analysis
Data Mapping
Requirements Gathering
Stakeholder Management
Azure DevOps
Data Governance
Data Architecture
UAT
Agile Delivery
Process Mapping
Data Lineage
Technical Documentation

Location

Stevenage, England, United Kingdom

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