Medical research assistant / Engineer position specializing in Artificial Intelligence and Natu[...]

inserm; Paris; Sur place; EUR 40 000 - 70 000; Plein temps

Résumé du poste

An innovative research position is available in a leading medical research initiative focused on rare diseases. The role involves leveraging cutting-edge AI technologies and Natural Language Processing to extract and structure vital biomedical information from literature. The successful candidate will work within a multidisciplinary team at a prestigious research institute, contributing to the development of a groundbreaking database aimed at enhancing the understanding and treatment of rare diseases. This dynamic environment offers the chance to make a significant impact on healthcare solutions in Europe.

Qualifications

• Master's degree or equivalent in relevant fields required.
• Proven experience in AI and NLP applications essential.

Responsabilités

• Develop and implement NLP algorithms for biomedical information extraction.
• Collaborate with clinicians to validate and curate extracted data.

Connaissances

AI applications

Natural Language Processing (NLP)

Biomedical text mining

Named entity recognition

Retrieval augmented generation

Bioinformatics tools

Human genetics

Formation

Master's degree in Computational Biology

Master's degree in Bioinformatics

Master's degree in Computer Science

Master's degree in Medical Sciences

Description du poste

Organisation/Company inserm Department Inserm U974 Research Field Medical sciences » Health sciences Researcher Profile Other Profession Positions Master Positions Country France Application Deadline 30 May 2025 - 18:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1 Jul 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe – COFUND Reference Number 101156595 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Description:Within the EU-Horizon Europe CoFund Project “ERDERA, European Rare Diseases Research Alliance”, a medical research assistant / engineer positionspecializing in Artificial Intelligence and Natural Language Processing (NLP)is available in the team of Gisèle Bonne.

The missions of the ERDERA are to transform rare disease research and care in Europe. By building on the achievements of previous partnerships’, ERDERA will: i) enhance collaboration, align research funding and enable optimal integration of EU and national rare diseases strategies and plans; ii) bridge the huge gap that hampers the translation of research results into cost-effective solutions that reach patients, and iii) help reduce the fragmentation of knowledge and data and evolve towards a holistic approach to research and innovation in rare diseases.

The selected candidate will specifically focus on leveraging AI technologies, including advanced NLP methodologies, named entity recognition, and retrieval augmented generation techniques to systematically produce high-quality datasets from published biomedical literature. These datasets will be essential for subsequent curation processes and integration into the Treatabolome database - an innovative platform capturing treatable genes and corresponding treatment strategies for Rare Diseases.

Responsibilities include:

• Developing and implementing NLP algorithms and models to efficiently mine, extract, and structure biomedical information from scientific literature.

• Utilizing named entity recognition (NER) techniques to accurately identify and classify biomedical entities relevant to rare disease research.

• Implementing retrieval augmented generation strategies to enhance the accuracy and comprehensiveness of generated datasets.

• Collaborating closely with expert clinicians to validate and curate the extracted data.

• Extending and optimizing the Treatabolome database through continuous integration of curated datasets.

The candidate will join a multidisciplinary team with robust expertise in molecular genetics of neuromuscular disorders, closely interacting with national and international reference centers.

The research environment is situated at a Joint Research Unit of Sorbonne Université and INSERM, within the Myology Institute on the Pitié‐Salpêtrière Hospital campus, providing access to state-of-the-art computational and research facilities in a dynamic international setting.

Qualifications:

• Master's degree or equivalent in Computational Biology, Bioinformatics, Computer Science, Medical Sciences, or a related field.

• Proven expertise and practical experience in AI and NLP applications, particularly in biomedical text mining, named entity recognition, and retrieval augmented generation.

• Familiarity with human genetics and bioinformatics tools. Prior experience or knowledge in neuromuscular disorders or myology would be advantageous but is not mandatory.

Salary and Contract Information:

• Salary commensurate with Inserm Status guidelines, dependent upon experience.

Initial contract duration: 2.5 years.

Application Instructions: Interested candidates are invited to submit their applications, which should include a detailed CV, a brief overview of previous relevant projects, and contact information for two professional references to:

Date:The position is available from June 2025

Where to apply

E-mail [e-mail]

Requirements

Research Field Medical sciences » Health sciences Education Level Master Degree or equivalent

Skills/Qualifications

Master's degree or equivalent in Computational Biology, Bioinformatics, Computer Science, Medical Sciences, or a related field.

• Proven expertise and practical experience in AI and NLP applications, particularly in biomedical text mining, named entity recognition, and retrieval augmented generation.

•Familiarity with human genetics and bioinformatics tools. Prior experience or knowledge in neuromuscular disorders or myology would be advantageous but is not mandatory

Languages ENGLISH Level Good

Research Field Computer science » Database management Years of Research Experience 1 - 4

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute Inserm U974 Country France City Paris Postal Code 75013 Street Centre de Recherche en Myologie, Institut de Myologie, GH Pitié-Salpêtrière, 47 boulevard de l'Hôpital, 75013 Paris France