AI Drug Discovery Scientist.
Charleston.
$158,000
median salary, at the national average
$120,000 to $200,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Here is what AI Drug Discovery Scientists actually make in Charleston: $120,000 at the 25th percentile, $158,000 at the median, and $200,000 at the 75th. That is right at the national average. Charleston is one of the South's fastest growing tech hubs, with Boeing, Volvo, and a wave of software companies establishing operations. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $142,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$103,000
to $126,000
Mid (3-5 yrs)
$134,000
to $166,000
Senior (6-9 yrs)
$174,000
to $205,000
Lead (10+ yrs)
$198,000
to $245,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $66,000 to the total package.
Base
$158,000
Equity
$40,000
Bonus
$17,000
Signing
$9,000
Estimated total: $224,000
How Charleston compares
Charleston, SC
$158,000
Cost of living: 2% below average
National Average
$158,000
Same as local rate
AI Drug Discovery Scientist salary by city
Salary by role in Charleston
What you should know
If you are interviewing for AI Drug Discovery Scientist roles in Charleston, here is what you are walking into. Charleston is one of the South's fastest growing tech hubs, with Boeing, Volvo, and a wave of software companies establishing operations. The city's port drives significant logistics employment. Charleston's quality of life, moderate costs, and growing tech scene attract relocating professionals from across the country. Compensation reflects the combination of computational biology expertise and ML engineering skills. Scientists who can apply deep learning to molecular design, protein structure prediction, and ADMET modeling command premiums. Publication record in both ML and drug discovery venues adds significant value. Pharma industry experience amplifies salary above pure tech roles.
Postdoc scientists start at $110,000 to $130,000. Mid-level scientists with deployed drug discovery models reach $148,000 to $175,000. Senior scientists leading AI drug discovery programs earn $185,000 to $230,000. Directors of computational drug discovery at pharma companies can reach $260,000 to $340,000 in total compensation. In Charleston, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Equity at biotech AI startups can be substantial, adding $30,000 to $100,000 in annual value. Pharma companies offer bonuses of 15% to 25% tied to pipeline milestones. Some organizations provide milestone bonuses when AI-discovered compounds advance through clinical trials. Benefits typically include generous research budgets. And on the tax side: south Carolina's top income tax rate is 6.4%. Charleston has no city income tax. The state rate is moderate, and the affordable cost of living keeps net pay competitive. When someone quotes you $158,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight the Boeing and Volvo ecosystem when negotiating. Manufacturing and engineering employers in Charleston benchmark against national aerospace pay scales. The range for AI Drug Discovery Scientists in Charleston runs from $120,000 to $200,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Airline Pilot in Charleston earns $159,000 (1% more)
- The highest-paying role in Charleston is Distinguished Engineer at $333,000
Common questions.
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