Data Science Internship
Stage · Stage M2 · 6 mois Bac+5 / Master Aliri · Lille (France)
Date de prise de poste : 1 mars 2025
Mots-Clés
Data science, deep learning
Description
Aliri is committed to solving industry challenges by bringing innovative bioanalytical and spatial solutions to biotech and pharma, as the complexity of the drug development landscape continues to rise.
Job Description:
We're looking for a biomedical data science intern to join our team and help us achieve our translational research goals. You will work alongside leading innovators in the field of deep learning and biology, and play a critical role in algorithm development.
Responsibilities:
- Innovating on our workflow using OMICS data (genomics, proteomics, transcriptomics, and metabolomics), clinical data (trial outcomes, pathology images, EHR…) and unstructured text data (publications, patent…) to discover biomarkers, predict patient treatment and allow patient stratification.
- Improving our methods with respect to model performance, translational relevance, rigor, and robustness.
- Applying statistical tools to power retrospective biomarker discovery in clinical trials and prospective evaluation of models.
- Developing supervised/unsupervised algorithms that enable to quantify novel cell phenotypic features.
- Participating in scientific discovery to develop publications which reveal novel disease biology.
Qualification and Skills:
- Pursuing master’s degree in computational biology or related field, preferably with a focus on machine & statistical learning, and/or biostatistics.
- Experience using Python and R.
- Intellectual curiosity and the ability to learn quickly in a complex space.
- Fluent in English
For inquires or resume submission, please contact the following:
- Email: recrutement@aliribio.com
- Job offer reference: IT001
Candidature
Procédure : Envoyer CV et LM à recrutement@aliribio.com
Date limite : 28 février 2025
Contacts
Victor Sénéchal
viNOSPAMctor.senechal@aliribio.com
Offre publiée le 25 novembre 2024, affichage jusqu'au 28 février 2025