Data specialist /curator for Large Language Models-derived toxicological (meta)data

Job Detail

Job-ID 394950

Job-Beschreibung

The Life Science Career NetworkCTC are specialised industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes.Toxicological Data specialist / Data curator (80-100%)Our client is a pioneer in Drug Discovery and Development and one of the frontrunners in Personalised Healthcare. As the world`s largest R&D spender in the pharmaceutical and diagnostics domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally.We are currently looking for a Toxicological Data Curator for a 6-month contract (with possibility for extension) based in Basel, Switzerland.Home Office: 49%, On-site: 51%Background:As a team member in the Prediction Modelling (PM) Chapter of Pharmaceutical Science, 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AI-powered extraction while supporting the application of LLMs for toxicological data understanding and enrichment from historical documents.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.We are looking for a highly skilled and detail-oriented Toxicological Data Curator with a background in biology or toxicology or drug development or veterinary medicine etc . In this role, you will ensure the accuracy, consistency, and scientific validity of toxicological data captured by large language models (LLMs). You will cross-check data outputs against original sources, evaluate the reliability of AI-derived information, and contribute to the development of high-quality datasets to support drug safety and development efforts.Main 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

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.

Qualifications and Experience:

Relevant working/residency permit or Swiss/EU-Citizenship required
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 (min. 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

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