PostdocResearch Scientist (Network Science & AI) Yurkovich lab

Remote or hybrid (if in the San Francisco Bay Area)

Are you passionate about using AI and network science to redefine human longevity

Position Overview
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.

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.

Qualifications

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

Compensation & Benefits

• $75000 to $125000 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.

About the Buck Institute for Research on Aging
The Buck Institutes mission is to end the threat of age-related disease for this and future generations. As the worlds 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 Alzheimers disease Parkinsons 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.

To Apply
To be considered please apply online and submit your CV plus a PDF document that includes a summary of your research interests and the names email and phone numbers of 3 references.