Machine Learning Scientist – Nucleic Acid Sequence Design

You develop and apply machine learning models to design DNA and RNA sequences for nucleic acid-based medicines, working closely with wet-lab teams.

Vos tâches

• Build, train and fine-tune machine learning algorithms for nucleic acid-based medicines
• Design sequence libraries for lab-in-the-loop optimization cycles
• Analyze experimental readouts such as MPRA and NGS and iteratively update designs
• Collaborate with wet-lab scientists and project leads on therapeutic design constraints
• Present technical findings and model performance to cross-functional stakeholders
• Contribute to scientific publications

Ce que vous apportez

• Ph.D. in a quantitative discipline such as bioinformatics, computational biology or machine learning
• 0-4 years of post-doctoral or industry experience
• Research impact at the interface of machine learning and molecular biology, evidenced by publications
• Strong Python programming skills and proficiency in deep learning frameworks such as PyTorch
• Hands-on experience developing or fine-tuning sequence-to-function models for biological molecules
• Excellent communication skills in English with computational and experimental scientists

Conditions

• Taux d'activité: 100 %
• Option d'engagement fixe après la mission, si les deux parties le souhaitent

Technologies

• Python
• PyTorch

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.