Graph Neural Network Researcher Salary.
Across 30 U.S. cities.
$188,000
national median salary
$140,000 to $248,000. Last updated April 2026.
Highest Paying
$270,000
San Jose, CA
Best Purchasing Power
$196,000
San Jose, CA
Lowest Paying
$162,000
St. Louis, MO
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average Graph Neural Network Researcher salary in the United States is $188,000 in 2026, with the full range spanning $140,000 at the 25th percentile to $248,000 at the 75th. San Jose pays the most at $270,000, while San Jose offers the best purchasing power after cost-of-living adjustments. GNN researchers are valued in drug discovery, social network analysis, and fraud detection, with pharma and fintech paying the highest premiums.
Graph Neural Network Researcher salary by city
What you should know
GNN researchers are valued in drug discovery, social network analysis, and fraud detection, with pharma and fintech paying the highest premiums. Experience with molecular property prediction or large-scale graph learning at production scale adds 10 to 20% to offers. Publication at venues like NeurIPS or KDD further strengthens negotiating position.
Junior GNN researchers start at $140,000 to $168,000 after completing a PhD. Senior researchers specializing in graph learning earn $190,000 to $250,000. Staff scientists and research leads reach $260,000 to $350,000, while principal scientists at major drug discovery firms can earn $370,000 to $450,000.
Biotech and pharma companies frequently offer signing bonuses of $25,000 to $60,000 alongside equity or stock options. Tech firms provide RSU grants worth 25 to 45% of base salary, with annual refreshers tied to performance ratings.