Machine Learning Scientist – Nucleic Acid Sequence Design

Job description

You develop and apply machine learning models to design DNA and RNA sequences for nucleic acid-based medicines, working closely with wet-lab teams. ## Tasks - 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 ## Profile - 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 ## Company Pharma & Biotech Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/machine-learning-scientist-nucleic-acid-sequence-design-tah-6kywn/