Data Specialist (toxicological data /data curation /systematic review methodologies)

m/f/d, Basel-Stadt

Our client, a leading pharmaceutical company, is seeking a Toxicological Data Curator to support the development of high-quality toxicology datasets using AI-driven extraction methods. This role involves validating and curating toxicological data derived from large language models (LLMs) to ensure scientific accuracy and reliability. If you have a strong background in biology, pharmacology, toxicology, or drug development and a keen eye for data accuracy, this opportunity in Basel could be for you!

Job Details:

📅 Start Date: ASAP (latest by April 1, 2025)
📆 Duration: 6 months (extension possible)
📍 Location: Basel (Hybrid – 51% onsite, rest remote)
👥 Team Size: 7
⏳ Workload: 80-100%

Key Responsibilities:

Data Validation & Curation: Verify AI-extracted toxicology data against original research, regulatory documents, and databases.
Quality Control: Ensure consistency, completeness, and scientific accuracy in curated toxicological datasets.
Toxicology Expertise: Apply toxicological knowledge to assess preclinical and clinical toxicity data, safety biomarkers, and risk assessments.
Cross-Functional Collaboration: Work closely with computational toxicologists, data scientists, and regulatory teams to refine data extraction and curation workflows.
Documentation & Reporting: Maintain detailed validation records and generate reports summarizing data quality metrics and findings.

Requirements:

✔️ Master’s degree in Biology, Pharmacology, Toxicology, Drug Development, Biotechnology, or a related field (Required)
✔️ Experience with data curation, annotation, or systematic review methodologies (Preferred)
✔️ Strong attention to detail and commitment to data accuracy
✔️ Critical thinking and problem-solving skills in scientific data evaluation
✔️ Fluent in English (C1 level)
✔️ Basic understanding of machine learning, LLMs, or NLP tools is a plus

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Job Profil

Life Sciences - Data Science
Basel-Stadt
Contracting
Vollzeit
01.03.2025 (ASAP or latest 01.04.2025) - 6 months duration with extension opportunities
Data specialist, Toxicological data, LLM, NLP, Machine learning, Drug development, Biotechnology