Bioinformatics Software Engineer
ACL Digital
San Mateo, CA0–3 yrs1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 3 years · Bachelor's degree
- Must know
- FastAPIREST APIsPythonSQLNoSQLJavaScript
- Work
- On-site in San Mateo
- Pay
- Not stated by the employer.
- Skill demand
- Python58%REST APIs41%SQL32%FastAPI2%of 148 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
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About the Role
The Bioinformatics Software Engineer will design and implement scalable, web-based interfaces for computational biophysics and antibody design workflows.
Key Responsibilities
- Design and implement scalable, web-based interfaces for computational biophysics and antibody design workflows.
- Develop and optimize database schemas to manage scientific data, computational results, and associated metadata.
- Build and maintain FastAPI-based backend services and APIs supporting computational workflows.
- Develop and orchestrate automated scientific pipelines using tools such as Nextflow, containers, and SLURM.
- Build software connecting databases, computational pipelines, APIs, and interactive visualization tools.
- Use modern AI-assisted development and vibe-coding approaches to rapidly prototype, test, and iterate on scientific applications.
- Ensure code quality through modular design, version control, testing, documentation, and maintainability.
- Support platform deployment and testing in HPC and cloud-based environments.
Requirements & Tech Stack
- Strong proficiency in Python and scientific software development.
- Hands-on experience with FastAPI, SQL/NoSQL databases, and database design.
- Experience developing and orchestrating automated computational pipelines, preferably using Nextflow or similar workflow frameworks.
- Experience with HPC environments and workload schedulers such as SLURM.
- Strong front-end development and data visualization skills, such as React, JavaScript, HTML/CSS, or equivalent technologies.
- Experience with Git, containerization technologies such as Docker, and modern software development practices.
- Experience with cloud platforms such as AWS or GCP.
- Excellent communication and collaboration skills.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field.
- PhD candidates are also welcome to apply.
Preferred Qualifications:
- Familiarity with protein structure, antibody design, molecular modeling, or structure-based computational methods.
- Familiarity with molecular modeling or protein structure tools such as MOE, Schrödinger, or equivalent.
- Experience applying AI-assisted coding tools to accelerate scientific software development and prototyping.
- Knowledge of antibody developability or biologics discovery workflows.
- Prior experience in biotech or pharmaceutical industry settings.