2026
Data Scientist Salary Guide
Discover Data Scientist salary ranges across experience levels and regions. Understand compensation trends in one of the most in-demand tech roles.
Salary by Experience Level
Entry-Level
$75,000
to $100,000
Mid-Career
$110,000
to $150,000
Senior
$155,000
to $230,000
Salary by Region
| Region | Average Salary |
|---|---|
| United States | $140,000 |
| United Kingdom | £60,000 |
| India | ₹1,500,000 |
Key Skills
Resume Example
Dr. Kenji Tanaka
Research Scientist | Computational Biology · Genomics · Drug Discovery
Research Summary
Independent research scientist and principal investigator studying the genetic basis of rare metabolic disorders. Published 28 peer-reviewed papers (h-index 18) and secured $4.2M in NIH and NSF grant funding. Expert in single-cell RNA sequencing, CRISPR-Cas9 functional genomics, and computational pathway analysis. Passionate about translating bench discoveries into therapeutic leads.
Research Experience
Lead an 8-person lab (3 postdocs, 3 PhD students, 2 research assistants) investigating the genomic and metabolic underpinnings of lysosomal storage disorders.
Developed a CRISPR base-editing approach that corrected the target mutation in 78% of patient-derived iPSCs in vitro.
Secured $4.2M in grant funding across NIH R01, NSF CAREER, and Pew Biomedical Scholar awards.
Published 12 papers since joining Scripps; 4 in Nature/Cell family journals.
Applied single-cell RNA-seq (10x Genomics) to profile transcriptomic heterogeneity in 15 rare disease patient cohorts.
Co-developed an open-source computational pipeline (PyScArches) for integrating multi-modal single-cell data; 1,200+ GitHub stars.
Co-first author on Nature Methods paper that became a top-10 cited paper of 2020.
Education
Selected Publications
Demonstrated therapeutic correction of TFEB mutations in patient iPSC-derived hepatocytes using adenine base editors, achieving 78% editing efficiency.
Open-source Python toolkit enabling integration of 10M+ cells across scRNA-seq, scATAC-seq, and spatial transcriptomics modalities.
Profiles
Technical Skills
CRISPR-Cas9, scRNA-seq, iPSC Culture, Flow Cytometry, Western Blot, qPCR
Python, R, Seurat, Scanpy, DESeq2, Nextflow
NIH R01, NSF CAREER, Aims Page Development, Budget Justification
Training & Credentials
Grants & Honours
Service & Mentorship
Review applications and interview candidates for the CMBB doctoral programme.
Interests
Public Lectures, Science Twitter
Mathematical Origami, Modular Structures
Languages
Career Outlook
Data science roles are projected to grow 35% over the next decade as organisations increasingly rely on data-driven decision making. Specialisation in AI and ML commands premium salaries.
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