Bioinformatics Cloud Engineer

Dualitas Therapeutics; San Francisco (CA); On-site; USD 156,470 - 184,500; Full time

Job summary

Dualitas Therapeutics is seeking a Bioinformatics Cloud Engineer to build the computational foundation powering our discovery platform. This role sits at the intersection of software engineering, cloud infrastructure, and biotherapeutics, translating complex data into actionable insights that drive therapeutic discovery.

You will lead the implementation of a LIMS platform and develop custom analytical tools.

Qualifications

• 5+ years of experience in biotech or related field.
• Degree in computational science, engineering, mathematics, or biology.
• Strong Python programming skills and software development practices.
• Experience with AWS, Azure, or Google Cloud, with preference for AWS.
• Familiarity with PostgreSQL, MySQL, NoSQL, and object storage.
• Familiarity with Docker, Kubernetes, and workflow frameworks (Nextflow, Snakemake, CWL, WDL).
• Experience with Benchling and Benchling SDK is a plus.
• Ability to work in a fast-paced environment.

Responsibilities

• Design, deploy, and manage scalable AWS cloud infrastructure.
• Implement IaC using CloudFormation.
• Develop secure, cost-effective cloud environments.
• Monitor resources; optimize performance and costs.
• Integrate infrastructure with AI agents for universal access.
• Build, deploy, and maintain bioinformatics pipelines for -omics analyses.
• Develop reproducible workflows with Nextflow, Snakemake, CWL, or WDL.
• Containerize apps with Docker; orchestrate with Kubernetes.
• Manage data storage with AWS Glue/Athena/Lambda/Step Functions.
• Ensure data integrity, traceability, compliance.
• Integrate diverse datasets into cloud analytic environments.

Skills

Python

Cloud computing

Bioinformatics

Data analysis

Education

Degree in computational science/engineering/biology

Tools

AWS

Azure

Google Cloud Platform

PostgreSQL

MySQL

NoSQL

Docker

Kubernetes

Benchling SDK

Job description

At Dualitas Therapeutics, we are redefining bispecific antibody discovery and development for autoimmune disease. Based in South San Francisco, California, our scientists are pioneering innovative technology to advance the next generation of antibody therapeutics. Our employees are our most important asset, and together we are dedicated to making Dualitas a scientifically superb and highly collegial place to work.

Position Summary

We are seeking a Bioinformatics Cloud Engineer to build the computational foundation that powers our discovery platform. This role sits at the intersection of software engineering, cloud infrastructure, and biological therapeutics, helping to transform complex scientific data into actionable insights that drive therapeutic discovery. The ideal candidate is equally comfortable architecting cloud‑native systems and supporting bioinformatics workflows across large multifaceted biological datasets. They will lead the implementation of a LIMS platform and build customized analytical tools that improve how scientists access, analyze, and leverage data across discovery programs.

Key Responsibilities

• Design, deploy, and manage scalable cloud infrastructure on AWS
• Implement Infrastructure as Code (IaC) using tools such as CloudFormation
• Develop and maintain secure, cost-effective, and highly available cloud environments
• Monitor cloud resources and optimize performance, scalability, and operational costs
• Integrate infrastructure with AI agents to enable access across employees regardless of technical skill

Bioinformatics Workflow Development

• Build, deploy, and maintain bioinformatics pipelines for genomic, transcriptomic, epigenomic, and proteomic analyses
• Develop reproducible workflows using workflow orchestration tools such as Nextflow, Snakemake, CWL, or WDL
• Containerize applications using Docker and manage orchestration through Kubernetes or similar platforms
• Support large-scale data processing and high-throughput sequencing workflows
• Design and manage data storage architectures for large biological datasets using an orchestration of AWS Glue/Athena/Lambda/Step Functions
• Implement data ingestion, processing, validation, and archival strategies
• Ensure data integrity, traceability, and compliance with organizational standards
• Integrate laboratory, clinical, and research datasets into cloud-based analytical environments

Who You Are

We are seeking a candidate with a strong computational background and a passion for advancing the intersection of computation and biotherapeutics. The ideal candidate appreciates the critical role that robust data and deeply integrated infrastructure play in enabling reproducible science, advanced analytics, and data-driven decision-making. They are perpetually curious, eager to deepen their understanding of biology and collaborate closely with laboratory scientists to bridge computational and experimental approaches.

Qualifications

• 5+ years of experience in biotech or related field
• Degree in computational science, engineering/mathematics, or biology
• Strong Python programming skills and experience applying software development best practices
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong preference for AWS.
• Familiarity with database systems including PostgreSQL, MySQL, NoSQL databases, and object storage solutions.
• Familiarity with Docker, Kubernetes, and workflow orchestration frameworks such as Nextflow, Snakemake, CWL, or WDL.
• Experience with Benchling and the Benchling SDK is a plus.
• Ability to work in a fast‑paced environment

Compensation

The expected base pay range for this position is $156,470 – $184,500 annually and will depend on several factors, including but not limited to, the candidate’s experience, skills and competencies. The pay range reflects multiple levels within the technical job family. The final title and compensation will be determined based on the candidate’s qualifications and relevant experience.

This role is also eligible for annual performance bonuses, equity grants, and a comprehensive benefits package that includes medical, dental, vision, retirement plan, paid time off, and other employee programs.