As part of Inceptive's antedisciplinary team, you will drive research in biological software, collaborating with scientists, engineers, and deep learning researchers. You will work on novel medicines and biotechnologies, contributing your skills while expanding knowledge across various fields.

You will develop and scale machine learning models focused on RNA design, building infrastructure for model training, data transformations, and integration with wet-lab assays. Collaboration with a diverse team to create scalable experiments is essential.

You will develop and scale machine learning models for RNA design, creating infrastructure and tooling for model training, data management, and deployment. Collaborate across disciplines to drive innovation and optimize processes for large volumes of biological data in a fast-paced environment.

You will develop and train large-scale machine learning models for RNA molecule design, collaborate with a team of experts from various scientific backgrounds, and establish benchmarks for model evaluation, ensuring the experimental designs are rigorously tested.

You will develop and train large-scale machine learning models to generate RNA sequences with controllable characteristics, working collaboratively with a diverse team. The role involves building innovative experiments, establishing evaluation benchmarks, and testing designs through rigorous lab validation.