Bayer

Target group

PhD students (1 month)

About the company

Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. In line with its mission, “Health for all, Hunger for none,” the company’s products and services are designed to help people and the planet thrive by supporting efforts to master the major challenges presented by a growing and aging global population. Bayer is committed to driving sustainable development and generating a positive impact with its businesses. At the same time, the Group aims to increase its earning power and create value through innovation and growth.

The project

Task one is to analyze the real‑world data (RWD) that Bayer holds and conduct a concise literature overview from a health economic perspective. Data might need to be adjusted to update a cost-effectiveness model or budget impact model. The results for external stakeholders in an appropriate presentation format including the outline what it means for an economic evaluation in Sweden.

Task two if possible is to investigate the AI tools the payer has and determine how they can be used to create commands for searching for current treatment practices in a specific area, reviewing guidelines, and summarizing unmet medical needs. Develop a simple manual so the searches can be rerun.

Location: Solna

Time period: March

The candidate

A strong statistical background and a solid understanding of clinical data and analysis are required. A strong understanding of cost-effectiveness models and inclusion of indirect treatment comparison data An interest in AI is desirable.

Contact Information

Name: Annegret Trinczek, Market Access Lead

Email: annegret.trinczek@bayer.com