About Apheris
At Apheris, we are building the future of how AI is applied in pharmaceutical R&D. We enable leading pharmaceutical teams to discover and develop drugs faster. We host the industry’s largest federated data networks for drug discovery AI, spanning co-folding, ADMET, and antibody developability.
Across these networks, models are trained on proprietary industry datasets to achieve higher performance and broader applicability while keeping data control and IP protected. We deliver these superior models through drug discovery applications that enable teams to run them at scale, further customize them, and integrate them into existing R&D workflows.
- AI Structural Biology (AISB) Network: Pharmaceutical companies collaborate in the field of co-folding, structure-based binding affinity predictions and antibody design.
- ADMET Network: Pharmaceutical and biotech companies collaborate to improve small-molecule property prediction and expand into further drug modalities.
- Antibody developability Network:Pharma partners collaborate to federate historical and purpose-built antibody developability data sets for secure ML training, without data leaving each partner’s environment.
About the role
We are looking for a hands-on Senior Software Engineer to design and implement the drug discovery workflows at the core of Apheris' platform.
In this role, you will be a strong individual contributor with end-to-end ownership of meaningful technical scope - designing, building, and operating workflows used in production by leading pharmaceutical companies. While this role does not include people management, it requires technical leadership through example, strong ownership, and active collaboration across teams.
You will work closely with drug discovery scientists, the data team, machine learning and software engineers to translate scientific problems into reliable, scalable, automated workflows. This role is ideal for someone who enjoys shipping high-quality software in a fast-moving startup environment, takes pride in execution, and is motivated to continuously improve both the product and the way we build it.
