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Aging Data Scientist Jobs (NOW HIRING)

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Position Summary The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ...

Fuse

Data Scientist

San Leandro, CA · On-site

$145K - $190K/yr

This is not a "fit a curve to a dashboard" data science role. Core Responsibilities * Build a ... and capacitor-bank aging, so operations decisions are informed by physics rather than vibes.

Fuse

Data Scientist

San Leandro, CA · On-site

$200 - $250/hr

This is not a "fit a curve to a dashboard" data science role. Core Responsibilities * Build a ... and capacitor-bank aging, so operations decisions are informed by physics rather than vibes.

Honor

Staff Data Scientist

Portland, OR · Remote

As a leader in aging care innovation, Honor provides the technology, tools, and services that ... About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ...

Genworth Financial

Data Scientist Manager

At Genworth, we empower families to navigate the aging journey with confidence. We are ... POSITION TITLE Data Scientist Manager POSITION LOCATION Richmond, VA (preferred) Remote US (Eastern ...

Genworth Financial

Data Scientist Manager

Richmond, VA · On-site +1

At Genworth, we empower families to navigate the aging journey with confidence. We are ... POSITION TITLE Data Scientist Manager POSITION LOCATION Richmond, VA (preferred) Remote US (Eastern ...

LMI

Senior Data Scientist - Clearance Desired

The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA ... aging, filing/appeal deadlines, and operational severity. * Develop payer-performance and denial ...

LMI

Senior Data Scientist - Clearance Required

The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA ... aging, filing/appeal deadlines, and operational severity. * Develop payer-performance and denial ...

LMI Government Consulting

$150 - $200/hr

The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA ... aging, filing/appeal deadlines, and operational severity. * Develop payer-performance and denial ...

Overstory

Staff Data Scientist - Wildfire

But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical ... Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ...

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Aging Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do aging data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for aging data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an aging data scientist?

An Aging Data Scientist is a professional who analyzes and interprets data related to aging populations, age-related diseases, and longevity. They use statistical methods, machine learning, and bioinformatics to uncover patterns and insights that can improve health outcomes and inform policies for older adults. Their work often involves collaborating with healthcare providers, researchers, and policymakers to address challenges associated with aging societies. Aging Data Scientists play a critical role in advancing research on aging and developing solutions for age-related issues.

What are the key skills and qualifications needed to thrive as an aging data scientist?

To thrive as an Aging Data Scientist, you need strong statistical analysis skills, expertise in machine learning, and a background in gerontology or biology, typically supported by an advanced degree in a related field. Proficiency with data analysis tools like Python, R, SQL, and experience with bioinformatics platforms or healthcare datasets is essential. Strong communication, problem-solving abilities, and interdisciplinary collaboration skills make someone stand out in this position. These skills and qualities are crucial for translating complex aging-related data into actionable insights that advance research and improve outcomes for older populations.

What are some common challenges faced by aging data scientists when working with longitudinal health data?

Aging Data Scientists often work with longitudinal datasets that track individuals over many years, which can present unique challenges such as missing or inconsistent data, changes in measurement methods, and participant attrition. Cleaning and harmonizing these datasets requires advanced statistical techniques and close collaboration with epidemiologists and clinicians to ensure data integrity. Additionally, interpreting trends and outcomes in aging populations necessitates a nuanced understanding of both biological aging processes and social factors. Effective communication with multidisciplinary teams is essential to translate complex data findings into actionable insights for aging research and policy.

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

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

Infographic showing various Aging Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 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