2026 Salary Guide: What AI & Biotech Professionals Really Earn
Compensation in the AI and biotech sectors continues to climb in 2026, driven by fierce competition for talent and the massive commercial potential of these technologies.
## AI & Machine Learning Roles
### Entry-Level (0-2 years)
- **ML Engineer**: $120K - $160K base + $15K-$40K equity
- **Data Scientist**: $110K - $145K base + $10K-$30K equity
- **AI Research Engineer**: $130K - $170K base + $20K-$50K equity
### Mid-Level (3-5 years)
- **Senior ML Engineer**: $170K - $230K base + $40K-$100K equity
- **Senior Data Scientist**: $155K - $210K base + $30K-$80K equity
- **NLP/LLM Engineer**: $180K - $250K base + $50K-$120K equity
### Senior/Staff (6+ years)
- **Staff ML Engineer**: $230K - $320K base + $100K-$250K equity
- **Principal Research Scientist**: $250K - $350K base + $150K-$300K equity
## Biotech & Life Sciences Roles
### Entry-Level (0-2 years)
- **Bioinformatics Analyst**: $85K - $115K base
- **Research Associate (Computational)**: $75K - $100K base
### Mid-Level (3-5 years)
- **Computational Biologist**: $130K - $180K base + $10K-$30K equity
- **Bioprocess Engineer**: $120K - $165K base
- **Clinical Data Scientist**: $140K - $190K base + $15K-$40K equity
### Senior/Staff (6+ years)
- **Director of Computational Biology**: $200K - $280K base + $60K-$150K equity
- **Head of Bioinformatics**: $220K - $300K base + $80K-$180K equity
## Location Multipliers
- **San Francisco / Bay Area**: 1.0x (baseline)
- **Boston / Cambridge**: 0.92x - 0.98x
- **New York City**: 0.90x - 0.95x
- **Seattle**: 0.88x - 0.95x
- **San Diego**: 0.85x - 0.92x
- **Remote (US-based)**: 0.80x - 0.95x
## Key Trends
**1. Equity is becoming a larger share of total compensation**, especially at startups.
**2. The premium for LLM/GenAI expertise** continues to grow, with specialists commanding 15-25% more than generalist ML engineers.
**3. Biotech-AI hybrid roles** command the highest premiums, often 20-30% above either discipline alone.
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