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Applications Scientist - Protein Design

San Francisco,...
T

Tamarind Bio

Startup
Category
Technical
Experience
0-3 years
Type
Full-Time
Location
San Francisco, CA, US
Salary
$130,000 - $200,000
Job Description
Benefits & Culture
Flexible hours
Remote work
Paid time off
Fast-paced environment
Direct feedback
Growth opportunities
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$130,000$200,000
Equity % (auto from trade-off model)
1.19%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.19%
$2,082,500
$125,000
1.19%
$2,082,500
$150,000
1.00%
$1,742,500
$175,000
0.75%
$1,317,500

Advanced Salary & Equity Calculator

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About the role

As an Applications Scientist at Tamarind, you’ll guide customers in using state-of-the art molecular design tools, provide strategic scientific support, and produce educational content for scientists’ benefit.

What you’ll do:

  1. Provide scientific support to existing and prospective customers, focusing on practical applications of molecular AI in therapeutic programs.
  2. Write high quality educational content for tens of thousands of scientists’ consumption
  3. Publish and present at scientific conferences
  4. Troubleshoot customer pipelines, tickets, tool use problems

Qualifications:

  1. PhD in computational biology, bioinformatics, structural biology, biophysics or a related field
  2. Expertise in the application of machine learning methods for biologics design, especially as applied to therapeutic programs for antibodies, peptides, and enzymes
  3. Programming skills with fluency in manipulating biological data such as molecular structures, sequences, and databases
  4. Willingness to travel for conferences and customer on-site visits

About Tamarind Bio

We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.

New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.