Altos Labs is seeking a Senior Machine Learning Scientist to accelerate and optimize progress in agentic AI methods for biological and clinical data curation and analysis. You will be an integral part of multidisciplinary teams building computational platforms to enable Altos to achieve its mission. You will collaborate with biomedical research experts and other machine learning scientists and engineers to design and build state-of-the-art agentic AI systems tackling biological questions, accelerating clinical data analysis, and aiding in the discovery of novel interventions.
What You'll Do
- Design and develop agentic AI workflows for biological and clinical data curation tasks.
- Research and implement advanced context engineering techniques (RAG, agentic RAG, graph RAG) tailored to biomedical data.
- Develop and optimize prompts and agent architectures for reliability, accuracy, and scientific rigor.
- Build LLM-based tool-use systems and integrations relevant to bioinformatics and clinical R&D pipelines.
- Collaborate with bioinformatics scientists, clinical researchers, and domain experts to identify automation opportunities and translate them into agentic solutions.
- Evaluate and benchmark agentic systems, establishing rigorous metrics for performance and correctness in scientific contexts.
- Stay current with the rapidly evolving landscape of agentic AI methods and contribute to internal best practices.
What We're Looking For
- PhD in Computer Science, Machine Learning, Bioinformatics, or a related field.
- Demonstrated experience developing agentic AI systems, including LLM-based tool use, prompt engineering, and context engineering techniques.
- Strong foundation in machine learning principles and their application to real-world problems.
- Strong background in bioinformatics, computational biology, or clinical R&D.
- Familiarity with MCP server development and agent skill creation.
- Very strong programming skills in Python, with experience writing production-quality, well-documented code.
- Strong track record of published peer-reviewed research in AI/ML and/or computational biology.
Nice to Have
- Experience with AWS services (S3, Bedrock, Lambda) in the context of AI/ML workflows.
- Experience with clinical trial data, regulatory data curation, or biomedical ontologies (e.g., CDISC, SNOMED, MedDRA).
- Track record working with NGS data (e.g., RNA-seq, ATAC-seq, DNA methylation) or other biological data modalities.
- Experience designing evaluation frameworks and benchmarks for agentic AI systems.
- Familiarity with knowledge graph construction and graph-based retrieval methods.
Technical Stack
- Python, LangGraph, Pydantic-AI, DSPy
- AWS S3, AWS Bedrock, AWS Lambda
Team & Environment
You will collaborate with biomedical research experts and other machine learning scientists and engineers across the Institute of Computation.
Benefits & Compensation
- Redwood City salary range: $270,600 - $330,000
- San Diego salary range: $251,700 - $307,000
Work Mode
This role is onsite in either our Redwood City or San Diego locations.
Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
