We are looking for a Senior Data Analyst with a Pharmaceutical, Clinical, or Biological sciences background to join our team supporting a major pharmaceutical client's in vitro application portfolio.

This is a unique opportunity for someone who combines scientific domain knowledge with data expertise and wants to deepen their experience within a leading general pharmaceutical environment.

You will work closely with client-side applications and domain specialists, gaining hands-on exposure to specialized pharma R&D; processes and learning from experienced experts in the industry

Responsibilities

Act as a domain expert for a technical support team of approximately 15 Full-Stack and Data Engineers

Help the engineering team understand the client's in vitro applications, data flows, and overall application landscape

Create clear application portfolio and data-flow visualizations

Prepare documentation and knowledge materials that enable engineers to investigate and resolve support requests efficiently

Translate scientific and application-specific concepts into information that technical specialists can easily understand and use

Work independently with clear deliverables and timelines while collaborating closely with a distributed international team

Continuously strengthen your expertise in the pharma R&D; domain while working alongside experienced specialists

Requirements

Educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science,



or a closely related fieldA minimum of 3 years of relevant experience with one or more specialized life-sciences applications, particularly Genedata Screener, Dotmatics, or Signal Vitro

Vivo

Experience working with scientific or pharmaceutical data, including an understanding of how data moves between applications and systems

Ability to analyze complex information and translate it into clear visualizations, documentation, and practical guidance for technical teams

Strong communication skills and confidence engaging with both scientific/domain experts and engineers

Ability to work independently, manage agreed deliverables, and collaborate effectively within a distributed team

Solid grounding in biology and clinical sciences to support accurate interpretation of pharmaceutical data and processes

Strong business communication skills to bridge scientific and technical conversations across teams

Experience with data analysis and quality practices to ensure accuracy and reliability in support documentation

Skilled in data visualization techniques to present complex information in an accessible, actionable format





Understanding of pharmaceutical medicine principles relevant to in vitro application support

Fluent English communication skills at a B2 level or higher

Nice to have

Familiarity with Agile ways of working within distributed, cross-functional teams

Strong team-player mindset, with the ability to collaborate effectively across diverse groups

Background or interest in Life Sciences as a broader field of knowledge

Experience mentoring colleagues or junior team members to support their growth and development

Skilled in stakeholder management, with the ability to build trust and alignment across technical and business groupsA Bachelor's degree, with a Master's degree considered an additional plus

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

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