Postdoc/Research Scientist (Network Science & AI) - Yurkovich lab

Buck Institute • Novato, CA

1d • $75,000 - $125,000 • Hybrid

About The Position

Recent advancements in biomedical technologies are generating vast amounts of multimodal data, paving the way for a deeper, systems-level understanding of human health. We are seeking a highly skilled Postdoctoral Researcher or Research Scientist to join the Yurkovich Lab. Our research applies network science and principles of graph theory to tackle challenging problems in biomedicine. In this role, you will be instrumental in using knowledge graphs to collate, organize, and compute on multimodal data. Your work will directly support ongoing and newly developing projects aimed at solving complex problems in metabolic engineering, phenomic dynamics, antimicrobial resistance, and longevity. You will need a blend of theoretical computational knowledge and practical application, focusing on developing innovative AI and network-based solutions. You will play a key role in developing robust software tools and pipelines, extracting insights from real-world biological studies, and leading the publication of high-impact scientific articles. If you are a highly motivated individual with a passion for scientific discovery, a strong computational background, and a desire to make a significant impact on human healthspan, we encourage you to apply. The Buck Institute’s mission is to end the threat of age-related disease for this and future generations. As the world’s first independent biomedical research institute devoted solely to aging, the Buck brings together scientists from a wide range of disciplines to understand how we age and to develop interventions that help people live better longer. Buck researchers are advancing discoveries related to the leading risk factor for many serious conditions, including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes. We are committed to fostering a collaborative, inclusive, and mission-driven environment where diverse perspectives and backgrounds are welcomed and valued. The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.

Requirements

• PhD in Computer Science, Bioengineering, Electrical Engineering, Systems Biology, Bioinformatics, or a related computational field
• Strong foundation and demonstrated expertise in network science, graph theory, and/or artificial intelligence
• Experience building, querying, or analyzing knowledge graphs and complex networks
• Proficiency in machine learning and AI techniques
• Strong programming skills in Python
• Experience in software engineering
• Excellent problem-solving, analytical, and critical thinking skills
• Strong communication, writing, and interpersonal skills
• Ability to work both independently and as a highly collaborative part of a team

Nice To Haves

• Familiarity with biological data, biomedicine, and/or longevity research is strongly preferred

Responsibilities

• Design, build, and implement advanced knowledge graphs and network models to integrate and analyze complex, multimodal biological data.
• Apply principles of network science and graph theory to understand system behavior, identify critical biological pathways, and uncover novel therapeutic targets.
• Leverage machine learning, AI, and large language models to extract actionable insights from large-scale biomedical datasets.
• Collaborate closely with biologists and domain experts to translate complex biological questions into quantitative network and mathematical models.
• Design, develop, and test software applications and data pipelines using object-oriented programming languages and software engineering best practices.
• Contribute to the development of novel open-source algorithms and computational tools for data analysis and modeling.
• Stay current with the latest advancements in artificial intelligence, graph theory, computational modeling, and systems biology.

Benefits

• $75,000 to $125,000 depending on skills and experience.
• Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees