CHU d'Angers

About the Company

Le CHU d'Angers, établissement à la fois de recours et de proximité, compte parmi les plus importants établissements de santé français. Il répond à ce titre à une triple mission : • Soins et Prévention, • Enseignement, • Recherche. La Directrice Générale du CHU est Cécile Jaglin-Grimonprez. Le CHU c'est aussi : • le premier employeur du Maine-et-Loire et l'un des premiers de la région des Pays de la Loire, il emploie plus de 7 100 salariés ; • une très grande variété de professions médicales et non médicales ; • un parcours professionnel adapté à vos aspirations grâce à un important dispositif de formation initiale et continue ; • une diversité de disciplines couvrant l'ensemble des spécialités médicales, chirurgicales et biologiques, dont les plus complexes ou les plus rares ; • une crèche située à proximité du CHU, adaptée aux horaires des hospitaliers et des places réservées dans des crèches de la ville ; • un établissement bien desservi par les transports en commun. Pour consulter les offres d'emplois, allez sur le site : https://chu-angers.mstaff.co/ *Charte éditoriale pour les commentaires sur les publications du CHU d'Angers* Chacun de vos commentaires sera le bienvenu sur les publications LinkedIn du CHU d'Angers, à la seule condition du respect des conditions fixées par notre charte éditoriale. Aussi, seront supprimés de notre page : - les commentaires diffamatoires ou insultants ; - les commentaires à caractère trop personnel (information médicale / relevant du cercle familial trop intime) ; - les commentaires de type publicitaire ou promotionnel. Les collaborateurs du CHU d'Angers ne doivent pas : - prendre la parole au nom de l'établissement ou de leurs collègues sans leur accord ; - divulguer des informations médicales ou relatives à l'intimité du patient ; - poster des photos de collègues ou patients. L'image de l'établissement est associée à votre image professionnelle.

Listed Jobs

Company Name

CHU d'Angers

Job Title

Ingénieur en Hématologie moléculaire

Job Description

**Job Title:** Molecular Hematology Engineer **Role Summary:** Perform and oversee molecular diagnostic testing for hematologic disorders, develop and validate new assays, ensure high‑quality laboratory operations, and support clinical decision‑making within a university hospital setting. **Expectations:** - Deliver accurate, timely molecular results for patient care. - Maintain compliance with accreditation and safety standards. - Contribute to method development, research projects, and continuous improvement initiatives. - Collaborate effectively with clinicians, pathologists, and laboratory staff. **Key Responsibilities:** - Conduct PCR, qPCR, Sanger sequencing, and next‑generation sequencing (NGS) on blood, bone‑marrow, and related specimens. - Validate, implement, and optimize molecular assays for hematologic malignancies and rare blood disorders. - Perform routine quality control, equipment maintenance, and calibration. - Analyze sequencing data, interpret genetic variants, and generate comprehensive reports. - Ensure proper sample handling, biosafety, and documentation in accordance with ISO 15189/CLIA. - Participate in multidisciplinary tumor boards and clinical meetings. - Train and mentor junior technologists and support staff. - Contribute to research studies, publications, and internal audit activities. **Required Skills:** - Proficiency in molecular biology techniques (PCR, qPCR, NGS, Sanger). - Experience with bioinformatics tools for variant calling and interpretation. - Strong knowledge of hematology pathology and molecular markers. - Ability to operate and troubleshoot automated extraction and sequencing platforms. - Familiarity with laboratory accreditation, quality management, and biosafety regulations. - Excellent analytical, problem‑solving, and communication skills. - Ability to work in a multidisciplinary, fast‑paced clinical environment. **Required Education & Certifications:** - MSc, PhD, or equivalent in Molecular Biology, Genetics, Biomedical Sciences, or related field. - Minimum 2 years experience in a clinical molecular diagnostics laboratory, preferably hematology. - Clinical Laboratory Scientist (CLS), Medical Technologist, or equivalent certification; accreditation knowledge (ISO 15189, CAP) preferred.

Angers, France

On site

09-10-2025

Company Name

CHU d'Angers

Job Title

Ingénieur en traitement automatique du langage (TAL) 100% ETP - Centre de Données Cliniques

Job Description

**Job Title** NLP Engineer (Natural Language Processing) **Role Summary** Develop and deploy NLP methods to transform unstructured clinical text (e.g., case reports) and structured data into actionable knowledge. Lead end‑to‑end projects—from data preprocessing and model training to production deployment and stakeholder communication—within a health data warehouse environment. **Expectations** - Translate clinical and research requirements into scalable NLP solutions. - Deliver robust, reproducible models and APIs for internal use. - Collaborate with data engineers, clinicians, and researchers to ensure model relevance and usability. - Maintain high standards of documentation, code quality, and ethical data handling. **Key Responsibilities** - Engineer pipelines for text extraction, concept qualifying, and semantic enrichment using knowledge graphs, ontologies, and embeddings. - Perform NER, relation extraction, text classification, and document clustering with machine‑learning, deep‑learning, and large‑language‑model techniques. - Prepare, clean, and annotate corpora for supervised training. - Evaluate and benchmark models (e.g., Hugging Face, spaCy) against defined metrics. - Create visualisations (Plotly, Matplotlib) and clear reports for clinical and research teams. - Prototype and expose models via REST APIs, Streamlit dashboards, or MLflow. - Document models, data pipelines, and experiments for reproducibility. **Required Skills** - **Programming & Libraries**: Python, Pandas, Scikit‑learn, PyTorch, Transformers, spaCy, NLTK. - **Data Engineering**: SQL, handling of large text corpora. - **NLP Tools**: Hugging Face, spaCy, fastText, Word2Vec, BERT, other embeddings. - **MLOps**: MLflow, basic API development (REST), optional Streamlit. - **Data Visualization**: Plotly, Matplotlib, or equivalent. - **Domain Knowledge (desired)**: Familiarity with medical ontologies/terminologies (SNOMED, UMLS). - **Soft Skills**: Scientific rigor, problem‑solving, teamwork, and effective communication. **Required Education & Certifications** - Master’s (Bac+5) or PhD in Data Science, Computer Science, Natural Language Processing, or related field. - Proven experience (or solid internship) in applied NLP on business or clinical data. - Demonstrated ability to move projects from concept to production. ---

Angers, France

On site

18-11-2025