Software Development Engineer, Health & Wellness, Health Tech
Core
Lead architecture and implementation of ML systems that transform genomic, proteomic, and clinical signals into actionable predictions for health initiatives.
Role type
Senior IC software development engineer (ML/bioinformatics)
Builds
High-throughput pipelines for sequencing and multi-omics data, low-latency inference services for biological foundation models, and production applications integrating neoantigen prediction and MHC binding models.
Domain
Life sciences / Immunology / Bioinformatics
Deliverable
production ML models
Required skills
Machine Learning fundamentals, Large Language Model architecture and optimization, high-performance API design, system scalability and reliability, software architecture design, programming in at least one language
Preferred skills
Full software development life cycle experience, code reviews, source control management, build processes, testing, operations
Technologies
None explicitly listed
Responsibilities
Lead software architecture design for ML and bioinformatics systems integrating genomic, proteomic, and clinical data; Develop high-performance APIs for model inference and pipeline orchestration; Implement integration of ML models including biological foundation models into production applications; Optimize system performance for high-throughput bioinformatics pipelines and low-latency inference services
Seniority
Senior, hands-on IC
