We're on the search for a Lead Data Analyst bringing a background in Pharmaceutical, Clinical, or Biological sciences to join our team in support of a major pharmaceutical client's in vitro application portfolio. This presents a distinctive chance for someone who merges scientific domain understanding with data skills and is eager to grow further within a prominent global pharmaceutical setting. You'll partner closely with client-side applications and subject matter specialists, gaining practical exposure to specialized pharma R&D; workflows while learning directly from seasoned industry professionals Responsibilities
- Function as the domain expert supporting a technical team of roughly 15 Full-Stack and Data Engineers
- Guide the engineering team toward a clearer understanding of the client's in vitro applications, data flows, and broader application ecosystem
- Produce clear visual representations of the application portfolio and associated data flows
- Develop documentation and knowledge resources that empower engineers to efficiently investigate and close out support requests
- Convert scientific and application-related concepts into formats that technical specialists can readily grasp and apply
- Operate independently against defined deliverables and timelines, while maintaining close coordination with an internationally distributed team
- Keep building on your pharma R&D; domain knowledge through ongoing collaboration with experienced specialists in the field Requirements
- Educational or career background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a related discipline
- At least 5 years of applicable experience working with specialized life-sciences platforms, particularly Genedata Screener, Dotmatics, or Signal VitroVivo
- A minimum of one year spent leading and managing development teams
- Background handling scientific or pharmaceutical data, including familiarity with how information flows across different applications and systems




- Capability to break down complex information and present it through clear visualizations, documentation, and actionable guidance for technical teams
- Confident communicator able to engage effectively with both scientific/domain experts and engineering teams
- Capacity to operate independently, manage agreed-upon deliverables, and work effectively as part of a distributed team
- Strong foundation in biology and clinical sciences supporting precise interpretation of pharmaceutical data and processes
- Solid business communication skills enabling smooth dialogue between scientific and technical teams
- Background in data analysis and quality assurance practices to maintain accuracy and dependability in support materials
- Capability in data visualization methods to turn complex data into accessible, actionable presentations
- Familiarity with pharmaceutical medicine concepts relevant to in vitro application support
- Fluent English communication skills at a B2 level or higher Nice to have
- Working knowledge of Agile practices within distributed, cross-functional team settings
- Collaborative team-player qualities, with proven ability to work smoothly across varied groups
- Interest in or background within the broader Life Sciences field
- Background mentoring colleagues or junior staff to support their professional growth
- Strong stakeholder management ability, building trust and alignment between technical and business groups
- A Bachelor's degree, with a Master's degree regarded as an added benefit

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
- Integral career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Lead Data Analyst (Argentina)
🏢 EPAM Systems
📍 Argentina