Senior Data Scientist – Aging & Epigenetic Biomarkers

Hebrew SeniorLife; Boston (MA); Hybrid; USD 67,000 - 101,000; Full time

Job summary

Hebrew SeniorLife seeks a biomedical researcher with expertise in quantitative methods to manage, harmonize, and analyze complex aging-related multi-omic data, including DNA methylation datasets across cohorts. The role emphasizes developing benchmarks for epigenetic clocks and communicating results to scientific audiences.

The successful candidate will contribute to study design, build analytic pipelines, and advance AI-assisted harmonization methods, with collaboration across geriatrics,

Qualifications

• Doctoral degree in quantitative biomedical science with at least 2 years of professional quantitative science experience.
• Proficiency in R and/or Python for large-scale DNA methylation and omics data processing.
• Experience building harmonized, multi-dataset analytic platforms and benchmarking aging biomarkers.
• Strong publication record and ability to communicate scientific results in English.

Responsibilities

• Provide data management, manipulation, cleaning, and analysis support for aging research projects, including epigenetic clocks benchmarking.
• Contribute to study design, cohort selection, outcomes, and validation strategies.
• Develop algorithms and software tools for data harmonization and AI-assisted analyses to enable large datasets processing.
• Create analysis pipelines and automated summaries; present findings in reports and at meetings.
• Support funding applications and contribute to manuscript preparation and dissemination.

Skills

Statistical analysis

Data manipulation

Visualization

Reproducible research

English communication

Education

Doctoral degree in quantitative biomedical science

Tools

R

Python

SQL

REDCap

Job description

Hebrew SeniorLife seeks a biomedical researcher with expertise in quantitative methods to manage, harmonize, and analyze complex aging-related multi-omic data, including DNA methylation datasets across cohorts. The role emphasizes developing benchmarks for epigenetic clocks and communicating results to scientific audiences.

The successful candidate will contribute to study design, build analytic pipelines, and advance AI-assisted harmonization methods, with collaboration across geriatrics,