**The Position** We are seeking a highly motivated and innovative postdoctoral fellow to work on experimental design with a focus on Bayesian Optimization in chemical development. In this role, you will contribute to the development and enhancement of closed-loop and open-loop workflows, applying these methodologies to improve processes. Applying these methods to development projects of New Chemical Entities (NCEs) will be a key aspect of your work. This Position is limited for 2 years. Note: To make it easier to find our job advertisements, we use the usual designation "Post Doc". Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates. **Tasks & responsibilities** + In your new role, you will develop and refine (Black-Box) optimization strategies over continuous and categorical search spaces (including molecules), including Bayesian Optimization, to improve existing closed-loop and open-loop workflows. + Moreover, you will apply these methods to small molecule (NCE) development projects. + With your expertise, you will orchestrate software solutions for both closed-loop and open-loop experimental workflows. + Furthermore, you will leverage internal and external data sources to enhance workflow efficiencies and outcomes. + You will work alongside domain experts, data scientists, and software engineers to implement and integrate solutions into the development pipeline. + In addition, you will contribute to a collaborative work environment, and engage in continuous learning and professional development. + You will also publish findings in scientific journals and present at international conferences. + Communicate scientific concepts behind experimental design to non-experts in a clear and accessible manner, rounds your profile. **Requirements** + Ph.D. in Natural Sciences, Computer Science, or a related field + Background in experimental design, with experience in Bayesian Optimization or similar techniques being advantageous + Proficiency in programming languages relevant to workflow automation and experimental design e.g. Python + Knowledge in chemistry is a plus + Strong ability to work in a team-oriented environment with excellent communication skills + Genuine interest in learning and professional growth within a collaborative and supportive work environment + Fluency in English, written and spoken **Ready to contact us?** If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com Recruitment process: Step 1: Online application - application deadline is April 18, 2025. Step 2: Virtual meeting in the period from end April to beginning of May, 2025 Step 3: On-site interviews mid to end of May, 2025 All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.