LLM Toxicology Data Curator (m/f/d)

Freelance/temporary employment for a project
Basel Stadt
Start date: asap
Reference number: 805538/1
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Project information

  • As a team member in the Prediction Modelling (PM) Chapter of PS, you will work in close collaboration with toxicologists as well as other scientists in pRED, having access to state-of-the-art bioinformatics and biostatistics tools and methods and gaining toxicological insights from experts in the field. Large Language Models (LLMs) have evolved beyond simple text completion tools into sophisticated systems capable of data extraction, summarization, enrichment, and knowledge capture. These advancements enable the retrieval of information previously locked within documents, reports, presentations, and meeting records, making it possible to repurpose this data and reverse translate knowledge from the past to inform future insights. The position in question focuses on transforming historical toxicology documents into structured, high-quality datasets through AI-powered extraction while supporting the application of LLMs for toxicological data understanding and enrichment from historical documents. The extracted data will be used to enhance existing data repositories and serve as a foundation for creating new ones tailored to the specific needs of toxicologists. While LLMs hold immense potential, they are also prone to generating inaccurate or fabricated information, commonly referred to as hallucinations. To address this, rigorous data curation is essential. Curating and validating subsets of the extracted data will not only improve the quality and reliability of the outputs but also contribute to refining and enhancing the performance of the models themselves.

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 and build up pipeline/dataset (choose one if needed) for toxicological evaluation tasks
  • Quality Assurance: Ensure consistency, completeness, and scientific accuracy of curated toxicological datasets
  • Adhere to established quality control protocols and contribute to improving workflows as needed
  • Toxicology Expertise: 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
  • Collaboration: 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
  • Documentation and Reporting: Maintain detailed records of validation processes and outcomes
  • Prepare periodic reports summarizing curation progress, data quality metrics, and key findings

Profile

  • Preferred Master’s in Biology, Pharmacology, Toxicology, Drug Development, Biotechnology or a related field
  • Experience with data curation, annotation, or systematic review methodologies advantageous
  • 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

Benefits

  • Join one of the world's leading pharmaceutical companies
  • Internal Career Opportunities
  • International and Diverse Environment

About Hays

With over 15 years of experience in the pharmaceutical and chemical industry as well as in biotechnology and medical engineering, we know the key contacts at companies that are recruiting for challenging jobs with real potential. The current high demand for staff has opened up exciting opportunities for dedicated experts who want to develop professionally and to further their careers. As recruitment specialists with an international network of contacts, we can offer you decisive advantages – completely free of charge. Register with us and reap the benefits of interesting job offers that match your skills and experience.

Staffing process for freelance specialists

  1. Analysis of qualifications
  2. Telephone or personal interview
  3. Contact with customers
  4. Contract with Hays
  1. 1    
  2. 1. Analysis of qualifications

    We carry out a detailed analysis of your technical qualifications on the basis of your CV, your application documents and your profile.

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Contact at Hays

Isabel Iglesias Spasovski
Reference number : 805538/1
Bewerbung starten