Lead Data Analyst

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

Benefits

• 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