Research Computing Teams
Director of Bioinformatics
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
About the Role
We're hiring a Computational Scientist to help curate, build, and scale Tamarind’s library of AI-powered drug discovery tools.
In this role, you’ll work closely with the founders and engineering team to operationalize cutting-edge models for structure prediction, protein design, docking, scoring, and other core biological AI workloads. You’ll help transform fragmented research tools into production-ready workflows that scientists can run reliably at scale.
You’ll collaborate directly with customers to understand their discovery challenges and help them leverage Tamarind’s platform to run real biological AI pipelines. This often involves:
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Chaining multiple tools together
- Troubleshooting workflows
- Identifying opportunities to improve the platform
This role sits at the intersection of computational biology, machine learning, and scientific infrastructure, ideal for someone excited about applying the latest advances in AI to real-world drug discovery programs.
Our Tech Stack
- Python
- PyTorch, TensorFlow
- CUDA
- Conda, Docker
- AWS (EC2, S3, DynamoDB)
- Molecular modeling tools
- Protein design frameworks
- Structural biology tooling
- APIs and workflow orchestration
Week in the Life
- Work with founders and engineers to integrate and deploy biological ML models on the Tamarind platform.
- Build and refine workflows connecting tools like structure prediction, docking, and scoring models.
- Partner with customers to troubleshoot pipelines and help them run large-scale discovery workflows.
- Evaluate new research tools and integrate promising models into the platform.
- Contribute to improving reliability, performance, and scalability of scientific pipelines.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Qualification Requirements
- Strong background in computational biology, computational chemistry, bioinformatics, or a related field.
- Familiarity with ML and physics-based tools in:
- Structural biology
- Molecular dynamics
- Protein-ligand docking
- Virtual screening
- Experience working with biological data such as:
- Molecular structures
- Compounds
- Sequences
- Databases
- Programming experience in Python and scientific computing workflows.
- Comfort working with:
- Cloud infrastructure (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow).
- Located in the SF Bay Area or able to relocate.
Our Interview Process
We keep our process focused, transparent, and designed to give both sides a clear sense of fit.
- Recruiter Screen – 15–30 minutes (Virtual).
- Technical Interview – 90 minutes (Virtual).
- Onsite – 1 day (San Francisco).
Compensation Range: $150K - $250K
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location