Viti Science - Data Analytics

Company Overview

Viti Science is a consulting firm based in Stockholm, specializing in Market Access, Health Economics, and Real-World Evidence (RWE). Our mission is to provide pharmaceutical and biotech companies with data-driven solutions, particularly through custom R-Shiny applications. We excel in health economic modeling, data visualization, and advanced analytics, helping our clients make informed decisions in complex healthcare environments.

Target candidate

The project is tailored to PhD students and lasts 1 month.

Project Plan for Internship

Objective: The intern will gain hands-on experience in developing an R-Shiny application focused on health economics and real-world data (RWD).

Project Outline:

• Week 1: Introduction to Viti Science’s core services and intensive training on R programming and the Shiny framework.
• Week 2: Work with the team to define the project scope based on the client's requirements. Assist in data cleaning and preprocessing to prepare for integration into the R-Shiny application.
• Week 3: Actively contribute to the development of the R-Shiny application, focusing on UI design and backend logic, and implement key health economic models.
• Week 4: Assist in preparing and delivering a presentation of the final product to the client, gathering feedback for potential improvements. Reflect on the internship experience.

Expected Outcomes: By the end of the 4-week internship, the intern will have developed a real-world R-Shiny application and gained in-depth knowledge of health economics and RWD.

Location
The intern shall work in a hybrid arrangement, both from home and at Forskaren.

Time period
The internship can be full-time or part-time, between May and November 2026.

Preferred background and skills

We are looking for a PhD student in a relevant quantitative field (e.g., health economics, epidemiology, biostatistics, medical informatics), ideally with an interest in applying real-world data and health economic methods in a consulting setting. The candidate should have working knowledge of R (Shiny is a merit), experience handling research/RWD datasets, and strong communication and collaboration skills.

We look forward to collaborating with the KI internship Program to find an intern who will benefit from and contribute to this unique opportunity at Viti Science.

Contact:

Máté Szilcz
CEO and founder
mate.szilcz@vitiscience.se
Viti Science (https://vitiscience.se/)