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 general 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 Vitro

VivoA 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 groupsA 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 Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM 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.#J-18808-Ljbffr

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