Safety Data Scientist in Toxicology (all genders) full-time/part-time possible - limited for 2 years

Merck Group; Deutschland; Vor Ort; EUR 60.000 - 95.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Safety Data Scientist, where your expertise in toxicology and data science will drive innovation in toxicity prediction. In this pivotal role, you'll collaborate with cross-functional teams on the IHI VICT3R project, aiming to reduce animal testing through advanced in silico tools. Your contributions will enhance our internal toxicity data warehouse and propel the integration of AI methodologies in toxicological assessments. This position offers a unique opportunity to blend scientific knowledge with cutting-edge technology, fostering a culture of digital literacy and collaboration.

Qualifikationen

• Ph.D. in Toxicology, Data Science, or Bioinformatics required.
• Extensive programming experience for biological data analysis.

Aufgaben

• Collaborate with teams to support the IHI VICT3R project objectives.
• Analyze complex datasets using statistical methods and R programming.

Kenntnisse

Statistical Analysis

R Programming

Toxicology Knowledge

AI Methodologies

Problem-solving

Ausbildung

Ph.D. in Toxicology

Ph.D. in Data Science

Ph.D. in Bioinformatics

Tools

Data Analysis Software

AI Tools

Jobbeschreibung

Your role:

We are seeking a highly motivated Safety Data Scientist with a strong background in toxicology to join our Chemical Toxicology team. Operating at the intersection of toxicology and data science, you will generate insights from complex datasets and contribute to the digital literacy within your department. You will play a pivotal role in further developing our in silico tools for toxicity prediction and closely interact with R&D functions. A significant focus of this position will be to support the IHI project VICT3R, which aims to reduce the use of animals in toxicity testing by employing virtual control groups.

Key Responsibilities:

• Collaborate with cross-functional teams to support the IHI VICT3R project objectives.
• Analyze and interpret complex datasets using statistical methods and R programming.
• Stay updated with the latest advancements in toxicology and AI technologies.
• Contribute the development of our internal toxicity data warehouse
• Develop and enhance in silico tools for toxicity prediction applying AI methodologies.

Qualifications:

• Ph.D. in Toxicology, Data Science, Bioinformatics, or a related discipline.
• Thorough understanding of toxicology and risk assessment
• Extensive hands-on programming experience for biological data analysis, and proficiency in R.
• Experience with AI applications, particularly in the context of toxicity prediction.
• Excellent problem-solving skills and ability to work collaboratively in a multidisciplinary team environment.
• Excellent written and spoken English skills
• Team player, eager to work in multidisciplinary teams

Department: HC-RD-XNETB Chemical Toxicology II

Job evaluation: AT-level 3 (Expert)