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
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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