Senior Software Engineer – Bioinformatics Daley And Associates is currently seeking a Senior Software Engineer to help design, improve, and scale production software supporting bioinformatics workflows. This is a software engineering-focused position, rather than a research or data science role. The ideal candidate will have a strong Computer Science background and experience building scalable, production-grade applications using Rust and Python within a genomics or bioinformatics environment. This is a remote role and pays a salary range of $170,000.00-$190,000.00.
Responsibilities:
Design, develop, and support production software for large-scale genomic data processing.
Build and optimize high-performance applications using Rust and Python.
Improve application performance, scalability, concurrency, and memory efficiency.
Integrate Rust-based functionality into existing Python applications and services.
Design and optimize database solutions using MongoDB and relational databases.
Develop software supporting genomic analysis and variant-processing workflows.
Build automated testing and validation processes to maintain application reliability.
Troubleshoot application and performance issues within Linux-based environments.
Collaborate with engineering and scientific teams on new functionality and technical improvements.
Qualifications:
5+ years of professional software engineering experience.
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
Strong development experience with Rust and Python.
Experience building and supporting complex applications in a production environment.
Strong understanding of software architecture, testing, SDLC, and performance optimization.
Experience with MongoDB and relational databases, including data modeling and schema design.
Experience integrating Rust and Python; PyO3, Maturin, or similar technologies is a plus.
Professional experience within bioinformatics, genomics, computational biology, or a related environment.
Familiarity with genomic file formats such as FASTQ, BAM, CRAM, and VCF.Experience working with sequencing data and genomic processing workflows.
Strong Linux/Bash skills.
Additional Experience:
The following experience would be beneficial but is not required:
PhD or other advanced degree in a relevant technical discipline.
Software development experience within regulated, clinical, healthcare, or other quality-sensitive environments.
Experience with distributed or high-performance computing systems.
Experience optimizing computational workloads for CPU or GPU environments.
Experience developing applications using TypeScript.
Experience supporting very large datasets and high-volume processing systems.
