Bioinformatics Software Engineer

Daley And Associates, LLC; Boston (MA); Remote; USD 170,000 - 190,000; Full time

Job summary

Daley And Associates, LLC is seeking a Senior Software Engineer to design, improve, and scale production software for bioinformatics workflows in a remote role across the US.

The ideal candidate has a strong CS background with experience building scalable, production-grade applications using Rust and Python within genomics or bioinformatics environments, and is comfortable collaborating with engineering and scientific teams.

Qualifications

• 5+ years of professional software engineering experience.
• Strong development experience with Rust and Python.
• Experience building production-grade software in a bioinformatics/ genomics context.
• Experience with MongoDB and relational databases; data modeling is a plus.

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 reliability.
• Troubleshoot issues within Linux-based environments.
• Collaborate with engineering and scientific teams on new functionality.

Skills

Rust

Python

MongoDB

Relational Databases

Performance Optimization

Distributed Systems

Bioinformatics

Education

Bachelor’s or Master’s in Computer Science/Software Engineering

Tools

PyO3

Maturin

Job description

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.

Additional Experience

• 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 supporting very large datasets and high‑volume processing systems.