You will lead the expansion into predictive toxicology and quantitative biology by setting the scientific strategy and integrating workflows into the federated platform. You will also act as a scientific lead for customers and partners to drive the adoption of models in real drug-discovery pipelines.
Apheris
7 Remote Job Openings at Apheris
Design and implement scalable drug discovery workflows in Python to automate the drug design process. Collaborate cross-functionally with scientists and engineers to translate scientific problems into production-grade software.
Build and implement ML applications for structural biology, focusing on fine-tuning foundational models like OpenFold and ESMFold. Design scalable pipelines for training, inference, and deployment while collaborating with customers to solve real-world drug discovery problems.
The Security Lead will define and scale Apheris' security capabilities, owning cloud, application, and corporate security. This includes managing incident response, vulnerability remediation, and maintaining compliance frameworks like ISO 27001 and SOC 2.
Define and own the binding-data preparation protocol and build the modular tooling and pipelines to standardize heterogeneous pharma data. Collaborate with pharmaceutical partners to harmonize assay metadata and curate public binding-data foundations for ML model training.
Lead the delivery and operationalization of large-scale ML systems for antibody modeling and biologics discovery. Translate complex scientific goals into executable technical plans while mentoring senior engineers and ML scientists.
Lead the delivery of federated co-folding models and AI structural biology applications. Translate scientific goals into executable technical plans while mentoring engineers and ML scientists.