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Khajuria el al. Bone Research 2023; Khajuria el al. JBMR 2023). The lab's primary focus is to identify roles of non-coding RNAs as well as RNA processing mechanisms in bone regeneration, and to ...

Rahal et al., Cancer Immunology Research (2024), Han et al., Nature (2024); and Peng et al., Cancer Cell (2026). These studies have defined the spatial and cellular architecture of early lung ...

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As of Sep 9, 2026, the average yearly pay for al researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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AspectAl ResearcherData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegrees in Data Science, Statistics, or Computer Science
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new AI algorithms, models, and theoriesAnalyzing data, building predictive models, data visualization

While both roles involve working with data and algorithms, Al Researchers focus on developing and advancing artificial intelligence models and theories, often in research settings. Data Scientists typically analyze and interpret data to solve business problems, using existing tools and techniques. The roles overlap in skills like programming and statistical knowledge, but their primary objectives and work environments differ.

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Postdoctoral Researcher - Zhou lab

Novato, CA โ€ข On-site

$73K - $81K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Mitochondria Lysome Function and Aging Research
Position Summary
The Buck Institute for Research on Aging is seeking a highly motivated Postdoctoral Researcher to investigate mitochondria-lysosome crosstalk in the context of aging and cellular senescence. This position will focus on understanding how communication between mitochondria and lysosomes regulates organelle function, cellular homeostasis, and age-associated decline.
The successful candidate will use a combination of cell biology, advanced imaging, quantitative analysis, genetics, and mechanistic perturbation approaches to uncover how mitochondria-lysosome interactions contribute to organelle and cellular dysfunction associated with hallmarks of aging. The project will also explore new strategies to restore organelle communication and intervene in aging-associated phenotypes in the context of both normal aging and age-related diseases.
The candidate will join a highly collaborative and multidisciplinary team that integrates biology, biophysics, imaging, quantitative analysis, computational biology, and artificial intelligence. This environment provides strong opportunities to combine experimental discovery with quantitative and computational approaches, particularly through high-content imaging, automated microscopy, and large-scale image analysis.
About the Zhou Lab
The Zhou Lab is an intentionally multidisciplinary research group that uses model systems ranging from budding yeast and cultured human cells to animal models to study fundamental mechanisms of aging. Our team brings together researchers from cell biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. We view this cross-disciplinary environment as a major strength, creating opportunities for shared learning, creative problem-solving, and discoveries that would be difficult to achieve within a single field alone.
Our lab uses a diverse range of cutting-edge approaches, including super-resolution imaging, high-throughput screening, cryo-EM, simulations, genetics, and machine learning. Current research areas include systems biology of aging, organelle communication, and proteome plasticity.
Recently, the lab has built automated research pipelines that combine liquid-handling robotics, high-throughput cell manipulation, automated super-resolution microscopy, and machine-learning-based image analysis. These platforms enable large-scale imaging and quantitative analysis of molecular and cellular aging phenotypes.
We are looking for candidates who are passionate about uncovering basic principles of molecular and cellular biology and who are excited to work at the interface of organelle biology, aging research, advanced imaging, and quantitative analysis.
Recent Publications
  1. Yoo S, et al. The Spatiotemporal Proteome Landscape of Aging: Structural determinants of age-sensitive proteome remodeling. bioRxiv [Preprint]. 2026 March 1. DOI: 10.64898/2026.02.26.708310
  2. Liu, Q., et al. Mitochondria-vacuole coupling contributes to vacuolar acidification and aging. In press, Molecular Cell
  3. Zheng, F., et al., Metabolic Environment-Driven Remodeling of Mitochondrial Ribosomes Regulates Translation and Biogenesis. Molecular Cell 2025 Nov 6:S1097-2765(25)00853-6.
  4. Liu, Q., et al. Nascent mitochondrial proteins initiate the localized condensation of cytosolic protein aggregates on the mitochondrial surface. Proc Natl Acad Sci USA. 2023 Aug; 120(31) e2300475120
Required Qualifications
  • PhD in cell biology or related field
  • Track record of first-author publications in related field
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Compensation & Benefits
  • $73,760 - $81,440 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
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
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
Please submit:
  • A curriculum vitae or resume,
  • A cover letter addressing your past research experience, plans, and expectations for working in the lab
  • Any relevant publications, projects, or code.