Our Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com.
Our Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos
As part of our team, you will help to accelerate and optimize our progress in agentic AI methods for biological and clinical data curation and analysis.
In this role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will collaborate with biomedical research experts as well as other machine learning scientists and engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem, focusing on designing and building state-of-the-art agentic AI systems and workflows that tackle biological questions, accelerate clinical data analysis, and aid in the discovery of novel interventions for aging and disease.
Responsibilities
- 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 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.
Who You Are
- Proven track record leveraging machine learning and AI to solve real-world problems.
- Expertise in agentic AI methods, including prompt optimization, tool use, and context engineering.
- Experience with production-quality code using frameworks like LangGraph, Pydantic-AI, DSPy, or similar.
- Deep familiarity with bioinformatics or clinical R&D to engage meaningfully with biological questions.
- Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor) for rapid iteration.
- A team player committed to collaborative environments and professional growth through feedback.
- An advisor capable of enabling others across the company on cutting-edge AI practices.
Minimum Qualifications
- PhD in Computer Science, Machine Learning, Bioinformatics, or a related field.
- Demonstrated experience developing agentic AI systems (LLM-based tool use, prompt/context engineering).
- Strong programming skills in Python, writing production-quality, well-documented code.
- Strong track record of published peer-reviewed research in AI/ML and/or computational biology.
- Familiarity with MCP server development and agent skill creation.
Preferred Qualifications
- Experience with AWS services (S3, Bedrock, Lambda) for AI/ML workflows.
- Experience with clinical trial data, regulatory curation, or biomedical ontologies (CDISC, SNOMED, MedDRA).
- Track record working with NGS data (RNA-seq, ATAC-seq, DNA methylation).
- Experience designing evaluation frameworks and benchmarks for agentic AI.
- Familiarity with knowledge graph construction and graph-based retrieval methods.
Compensation
Location
Role
Salary Range
Redwood City
Senior Scientist I, Machine Learning
$270,600 - $330,000
San Diego
Senior Scientist I, Machine Learning
$251,700 - $307,000
Exact compensation may vary based on skills, experience, and location.
Equal Opportunity Employment
Altos Labs provides equal employment opportunities to all employees and applicants 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 law.
Note: Altos Labs will never ask you to download a messaging app for an interview or request money to get started. Please stay vigilant against recruitment scams.
