EPAM SystemsActive opening

Senior Data Analyst

Desde casa, ARRemote (region-locked)SeniorFound today
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pharmaceuticalclinicalbiologicalgenedata screenerdotmaticssignal vitroivodata analysisdata visualization

We are looking for a Senior Data Analyst with a Pharmaceutical, Clinical, or Biological sciences background to join our team supporting a major pharmaceutical client's in vitro application portfolio. This is a unique opportunity for someone who combines scientific domain knowledge with data expertise and wants to deepen their experience within a leading global pharmaceutical environment. You will work closely with client-side applications and domain specialists, gaining hands-on exposure to specialized pharma R&D processes and learning from experienced experts in the industry

Responsibilities

  • Act as a domain expert for a technical support team of approximately 15 Full-Stack and Data Engineers
  • Help the engineering team understand the client's in vitro applications, data flows, and overall application landscape
  • Create clear application portfolio and data-flow visualizations
  • Prepare documentation and knowledge materials that enable engineers to investigate and resolve support requests efficiently
  • Translate scientific and application-specific concepts into information that technical specialists can easily understand and use
  • Work independently with clear deliverables and timelines while collaborating closely with a distributed international team
  • Continuously strengthen your expertise in the pharma R&D domain while working alongside experienced specialists

Requirements

  • Educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a closely related field
  • A minimum of 3 years of relevant experience with one or more specialized life-sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo
  • Experience working with scientific or pharmaceutical data, including an understanding of how data moves between applications and systems
  • Ability to analyze complex information and translate it into clear visualizations, documentation, and practical guidance for technical teams
  • Strong communication skills and confidence engaging with both scientific/domain experts and engineers
  • Ability to work independently, manage agreed deliverables, and collaborate effectively within a distributed team
  • Solid grounding in biology and clinical sciences to support accurate interpretation of pharmaceutical data and processes
  • Strong business communication skills to bridge scientific and technical conversations across teams
  • Experience with data analysis and quality practices to ensure accuracy and reliability in support documentation
  • Skilled in data visualization techniques to present complex information in an accessible, actionable format
  • Understanding of pharmaceutical medicine principles relevant to in vitro application support
  • Fluent English communication skills at a B2 level or higher

Nice to have

  • Familiarity with Agile ways of working within distributed, cross-functional teams
  • Strong team-player mindset, with the ability to collaborate effectively across diverse groups
  • Background or interest in Life Sciences as a broader field of knowledge
  • Experience mentoring colleagues or junior team members to support their growth and development
  • Skilled in stakeholder management, with the ability to build trust and alignment across technical and business groups
  • A Bachelor's degree, with a Master's degree considered an additional plus

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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EPAM SystemsSenior Data Analyst
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