Tamarind Bio Verified
Biotechnology
Application Scientist - Computational Chemistry
San Francisco, California, United StatesOnsiteFull Time$130,000–$200,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
Tamarind is seeking an Applications Scientist with a PhD in computational chemistry or a related field to provide scientific support to customers using molecular AI tools for therapeutic programs. The role involves writing educational content, publishing research, presenting at conferences, and troubleshooting customer pipelines. Expertise in machine learning for small molecule design and programming skills for biological data manipulation are required.
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:
* Provide scientific support to existing and prospective customers, focusing on practical applications of molecular AI in therapeutic programs.
* Write high quality educational content for tens of thousands of scientists’ consumption
* Publish and present at scientific conferences
* Troubleshoot customer pipelines, tickets, tool use problems
Qualifications:
* PhD in computational chemistry, bioinformatics, structural biology, biophysics or a related field
* Expertise in the application of machine learning methods for small molecule design, especially as applied to therapeutic programs
* Programming skills with fluency in manipulating biological data such as molecular structures, compounds, sequences, and databases
* Willingness to travel for conferences and customer on-site visits
What you’ll do:
* Provide scientific support to existing and prospective customers, focusing on practical applications of molecular AI in therapeutic programs.
* Write high quality educational content for tens of thousands of scientists’ consumption
* Publish and present at scientific conferences
* Troubleshoot customer pipelines, tickets, tool use problems
Qualifications:
* PhD in computational chemistry, bioinformatics, structural biology, biophysics or a related field
* Expertise in the application of machine learning methods for small molecule design, especially as applied to therapeutic programs
* Programming skills with fluency in manipulating biological data such as molecular structures, compounds, sequences, and databases
* Willingness to travel for conferences and customer on-site visits