Toxicological Data Specialist/Curator
Randstad (Switzerland) Ltd.
Publication date:
05 February 2025Workload:
100%- Place of work:Basel
job details
For our client, a leading international pharmaceutical company in Basel, we are looking for a Data Specialist/Curator for LLM-Derived Toxicological (meta) Data.
General Information:
- Start date: asap
- Latest Start Date: 01.04.25
- Duration: 6 months with the possibility of extension
- Workplace: Basel
- Workload: 80-100%
- Remote/Home Office: 51% onsite, rest remote
- Department: Predictive Modelling & Data Analytics (PNV)
- Working hours: Standard
Tasks & Responsibilities:
Data Validation:
- Review toxicological data output generated by LLMs and validate it against original resources (e.g., research articles, regulatory documents, toxicology databases).
- Identify and document discrepancies, errors, or ambiguities in AI-derived data.
- Build up pipeline/dataset (choose one if needed) for toxicological evaluation tasks
- Ensure consistency, completeness, and scientific accuracy of curated toxicological datasets.
- Adhere to established quality control protocols and contribute to improving workflows as needed.
- Apply toxicological knowledge to evaluate data related to preclinical and clinical toxicities, mechanisms of toxicity, safety biomarkers, and risk assessments.
- Assess relevance and applicability of curated data to specific drug development scenarios.
- Work closely with computational toxicologists, data scientists, and cross-functional teams to align on curation standards and requirements.
- Provide feedback to enhance LLM performance based on identified gaps or inaccuracies in the extracted data.
- Maintain detailed records of validation processes and outcomes.
- Prepare periodic reports summarizing curation progress, data quality metrics, and key findings.
Must Haves:
- Preferred Master’s in Biology, Pharmacology, Toxicology, Drug Development, Biotechnology or a related field.
- Experience with data curation, annotation, or systematic review methodologies is a plus.
- Basic understanding of machine learning, LLMs, or natural language processing (NLP) tools is desirable but not required.
- English fluent (mind. C1 Level).
- Strong attention to detail and commitment to data accuracy.
- Excellent critical thinking and problem-solving skills, particularly in evaluating scientific information.
- Ability to synthesize complex toxicological data and present clear, actionable conclusions.
- Effective written and verbal communication skills for reporting and collaboration.
If this sounds like you, we’d love to hear from you! Submit your CV today and join a leading pharmaceutical company driving innovation.
