[Hiring] Lead Data Analyst @EPAM

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.