Human Longevity

AI / Machine Learning and Data Scientist

Human Longevity • $120K — $150K *
South San Francisco, CA 94080In-Person
Healthcare
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Advanced degree in a quantitative field or equivalent practical experience.
  • 4+ years of hands-on experience in advanced machine learning and AI techniques applied to clinical data.
  • Direct experience with Large Language Models and prompt optimization techniques.
  • Strong background in machine learning, AI, or predictive analytics within healthcare.
  • Proficiency in programming languages such as Python, SQL, JavaScript/TypeScript, and/or R.

Responsibilities

  • Develop advanced data science, machine learning, and AI solutions for healthcare applications.
  • Identify and create innovative solutions using complex datasets in precision medicine.
  • Collaborate with experts to design AI solutions for various healthcare scenarios.
  • Apply LLMs and NLP to analyze unstructured medical data and guide decision-making.
  • Create scalable data pipelines to enhance data quality and accessibility.
  • Implement AI platforms to automate workflows and boost productivity.
  • Develop reusable tools to extract insights from both structured and unstructured data.

Benefits

  • Innovative culture focused on advancing healthcare through cutting-edge technologies.
  • Engagement with advanced technologies and data-rich healthcare applications.
  • Opportunities for career growth in a mission-driven, innovative environment.
  • Contribution to tools and initiatives promoting proactive, personalized healthcare.
Full Job Description
What You'll Do
  • Support HLI's mission by building advanced data science, machine learning, and AI capabilities for data-driven healthcare applications.
  • Identify opportunities to leverage complex datasets for innovative, practical solutions across HLI's healthcare and precision medicine environment.
  • Collaborate with cross-functional experts to conceptualize, develop, and implement AI solutions tailored to a variety of healthcare use cases.
  • Apply advanced machine learning methods, including Large Language Models (LLMs) and Natural Language Processing (NLP), to extract insights from large, unstructured medical datasets and inform decision-making.
  • Build robust, data-driven solutions that translate complex analysis into practical applications addressing meaningful healthcare challenges.
  • Design and develop scalable data pipelines that improve data quality, accessibility, and reliability across HLI's core data infrastructure.
  • Evaluate and implement AI agent platforms, including autonomous AI assistants and similar agentic AI frameworks, to automate complex workflows and enhance productivity.
  • Create reusable and scalable tools that help unlock information across structured and unstructured data sources.
  • Partner with technical and non-technical stakeholders to move models and workflows from concept to production-ready solutions.

What We're Looking For
  • Advanced degree in a quantitative discipline such as computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering, or equivalent practical experience.
  • 4+ years of experience applying advanced machine learning and AI techniques, including supervised and unsupervised methods, LLMs, and NLP, to clinical data.
  • Direct experience working with Large Language Models and familiarity with prompt optimization approaches.
  • Strong experience in machine learning, artificial intelligence, or predictive analytics in healthcare, life sciences, genomics, or related fields.
  • Strong proficiency in Python, SQL, JavaScript/TypeScript, and/or R.
  • Ability to work cross-functionally and drive projects in environments that may include ambiguity and evolving priorities.

Preferred Qualifications
  • Experience with LLM workflows, including prompting, fine-tuning, and retrieval-augmented generation (RAG).
  • Familiarity with software engineering principles and experience deploying algorithms in production environments.
  • Experience partnering with clinical subject matter experts and cross-functional teams.
  • Demonstrated ability to lead and execute technical projects from concept through implementation.

Why Work at HLI?
  • Innovative Culture: Join a team advancing healthcare through AI, genomics, and precision medicine.
  • Cutting-Edge Environment: Work with advanced technologies and data-rich healthcare applications that support earlier detection and personalized insights.
  • Career Growth: Contribute to impactful technical initiatives in a mission-driven environment focused on innovation and continuous learning.
  • Mission-Driven Work: Help build tools and intelligence that support HLI's goal of extending healthy human life through proactive, personalized care.

Working Conditions
  • Collaborative team environment supporting cross-functional work across technical, clinical, and business stakeholders.
  • Role may require sustained computer-based work and participation in fast-paced, evolving projects.
  • May involve coordination across offices and teams depending on business needs.

About Human Longevity

Human Longevity is a genomics and cell therapy-based diagnostic and therapeutic company. The company was founded in 2013 by Peter Diamandis, Robert Hariri, and Craig Venter. Human Longevity's mission is to extend the healthy human lifespan by developing and applying advanced technologies in genomics and cell therapy. The company's flagship product is the Health Nucleus, which is a comprehensive health assessment that uses whole genome sequencing and other advanced technologies to provide personalized health recommendations. Human Longevity has partnerships with various organizations, including Discovery Ltd., the Cleveland Clinic, and the University of California, San Diego.
Learn more about Human Longevity
Size
500 employees
Industry
Pharmaceuticals & Biotech
Founded
2013
* Ladders Estimates

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