Job Description

Role:Computational Biologist
Location:San Francisco, CA.
On site. Full-time.

About the job:
Advantra is partnering with an early-stage biotech software startup in San Francisco to hire a Computational Biologist to build, deploy, and scale drug discovery tools for customers.

About the role:
You will develop and maintain computational tools for structure prediction, protein design, docking, scoring, and related drug discovery tasks. You will work directly with customers to chain and apply open-source tools and advise on best practices, while collaborating closely with the founders to deploy production-ready solutions.

Responsibilities:

1. Curate, build, and maintain computational tools for drug discovery workflows.
2. Assist customers in applying tools for protein design, docking, scoring, and structure prediction.
3. Integrate multiple open-source tools into efficient pipelines for end users.
4. Deploy production-ready software for internal and external use.
5. Collaborate with founders to design, prioritize, and implement new capabilities.
6. Stay up to date with the latest research and advancements in computational protein engineering.
7. Provide technical guidance on AI-driven drug discovery methods.
8. Document workflows, pipelines, and best practices for internal and customer use.
   
   
   
   

Core requirements:

1. 3+ years of experience in computational biology or bioinformatics.
2. Strong knowledge of ML and physics-based structural biology tools.
3. Familiarity with protein design, molecular dynamics, docking, scoring, and virtual screening.
   Knowledge of enzymology, protein therapeutics, or peptide discovery.
   Production-level software development experience.
4. AWS DevOps and MLOps experience (DynamoDB, EC2, S3, Docker, CUDA, Conda, TensorFlow, PyTorch).
   Strong problem-solving and customer-facing skills.
5. Ability to chain multiple computational tools into reproducible pipelines.
6. Located in the San Francisco Bay Area or willing to relocate.
7. Strong familiarity with current literature in computational protein engineering.
   
   
   
   

Nice to have:

1. Experience developing ML models for proteins (language models, structure prediction, design).
   Full stack development experience, e.g., React and API development.
   Computational chemistry knowledge, including small molecule docking or virtual screening.
   Graduate degree in math, computer science, statistics, bioengineering, computational biology, or related field.
2. Experience with production-grade scientific software.
   
   
   
   

Compensation:
Competitive base plus equity.

How to apply:
Email careers@theadvantra.com with links to shipped work and a short note on what you owned. Company name shared after the intro.



About Us:
Advantra-Upstart Crew is a search program inside Advantra Consulting. We partner with early stage and high growth startups to hire the top 2% in Tech and GTM. We run end to end searches, from single role headhunts to full team build outs, using domain experts and a vetted network to deliver tight shortlists. We stay close to founders and candidates so the relationship lasts beyond the first hire.

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