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Scientist Aging Research Jobs (NOW HIRING)

Rutgers University

Research Scientist III

Newark, NJ · On-site

$77K/yr

... aging research. Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We ...

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Scientist Aging Research information

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$50.5K

$130.1K

$174K

How much do scientist aging research jobs pay per year?

As of Sep 8, 2026, the average yearly pay for scientist aging research in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a scientist aging research?

Scientist Aging Research professionals are researchers who study the biological, genetic, and environmental factors that influence aging. Their work aims to understand the processes that cause aging and age-related diseases, with the goal of improving healthspan and lifespan. They use various scientific methods, including laboratory experiments, clinical studies, and data analysis, to uncover how aging occurs and how it might be slowed or reversed. These scientists often collaborate with experts in fields like genetics, medicine, and pharmacology to develop interventions that promote healthy aging.

What are the key skills and qualifications needed to thrive as a scientist aging research?

To thrive as a Scientist in Aging Research, you need a robust background in biology, biochemistry, or a related field, typically supported by a Ph.D. and experience in experimental research. Familiarity with laboratory techniques such as cell culture, molecular biology assays, and data analysis tools like R or Python, as well as experience with scientific publishing, are commonly required. Strong analytical thinking, collaboration, and effective communication skills help you work across multidisciplinary teams and share findings clearly. These skills and qualifications are essential for advancing scientific understanding of aging and translating research discoveries into practical applications.

What are some common challenges faced by scientists aging research, and how can they be addressed?

Scientists in aging research often encounter challenges such as the complexity of biological aging processes and the need for long-term studies to observe meaningful results. Additionally, securing consistent funding and staying updated with rapidly evolving technologies can be difficult. Collaboration with interdisciplinary teams, such as bioinformaticians and clinicians, helps overcome these hurdles. Continuous professional development and networking within the scientific community are also vital for career advancement and accessing new research opportunities.

What is the difference between Scientist Aging Research vs Biomedical Scientist?

AspectScientist Aging ResearchBiomedical Scientist
Required CredentialsMaster's or PhD in biology, biochemistry, or related fieldsBachelor's or higher in biomedical sciences, often with certification
Work EnvironmentResearch labs, universities, healthcare institutionsHospitals, research labs, pharmaceutical companies
Employer & IndustryAcademic, government, nonprofit focused on agingHealthcare, biotech, pharmaceutical industries
Common Search & ComparisonYesYes

Scientist Aging Research primarily focuses on studying the biological processes of aging, often in academic or research settings. Biomedical Scientists work across a broader range of medical research, including disease mechanisms and treatment development. Both roles require advanced degrees and involve laboratory work, but their specific focus areas and industries differ.

What are popular job titles related to Scientist Aging Research jobs?

For Scientist Aging Research jobs, the most frequently searched job titles are:

Infographic showing various Scientist Aging Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Novato, CA • On-site

Buck Institute for Research on Aging
See more jobs at Buck Institute for Research on Agingexternal

$80K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
This position is 100% on site.
About the Zhou Lab
Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Recent example of our work:
The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
Responsibilities
  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.
  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.
  • Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
  • Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
  • Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
  • Contribute to a collaborative and intellectually engaged research environment.
Required Qualifications
  • BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  • Strong experience in one or more of the following areas:
    • Computer vision
    • Image recognition and segmentation
    • Deep learning
    • Generative AI
    • Diffusion models
    • Multimodal or foundation-model approaches
  • Demonstrated experience developing computational methods and analyzing complex datasets
  • Strong quantitative, analytical, and programming skills
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Preferred Qualifications
  • Experience with biological, biomedical, or microscopy imaging data
  • Experience working in interdisciplinary research environments
  • Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
  • Publication record, open-source contributions, relevant research, project, or code portfolio
Compensation & Benefits
  • $80,000 to $130,000 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.
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 brief statement of interest, and
  • any relevant publications, projects, or code.

Apply