Senior Bioinformatics Engineer

Jobgether

4d•$117,400 - $146,800•Remote

About The Position

This role offers the opportunity to design, develop, and scale production-grade bioinformatics pipelines that support large-scale genomic and clinical data processing. You will lead efforts to translate validated research workflows into automated, cloud-based production systems, ensuring high reliability, reproducibility, and efficiency. The position involves close collaboration with product and development teams to optimize pipeline performance, implement automation, and maintain secure high-throughput data transfers across cloud environments. You will contribute to long-term roadmap planning and drive technical improvements that accelerate scientific discovery. This role requires a combination of strong software engineering skills, deep bioinformatics knowledge, and the ability to influence technical decisions across interdisciplinary teams.

Requirements

Masterâs degree in Bioinformatics, Computational Biology, Computer Science, or related quantitative field.
5+ years of experience developing and operating bioinformatics or large-scale data processing pipelines in production.
Proficiency in a production programming language, such as Python.
Extensive experience working with AWS or comparable cloud platforms.
Hands-on experience designing scalable, automated systems with minimal manual intervention.
Strong expertise in workflow orchestration tools such as WDL, Nextflow, or Snakemake.
Experience with containerization technologies like Docker and cloud-native infrastructure.
Knowledge of software engineering best practices, including CI/CD, unit testing, and test-driven development.
Excellent communication skills with the ability to influence technical direction across scientific and engineering stakeholders.
Detail-oriented, self-motivated, and a collaborative team player.

Responsibilities

Develop, maintain, and scale production-grade bioinformatics pipelines to support genomics and clinical data projects.
Translate research workflows into automated, cloud-based production systems with high reliability and reproducibility.
Architect and implement automation initiatives to improve pipeline performance, scalability, and turnaround time.
Design and manage secure, high-throughput data transfer solutions across cloud platforms.
Identify bottlenecks and implement optimizations for efficiency, cost, and resource utilization.
Contribute to the long-term strategy and roadmap for pipeline evolution and automation improvements.
Collaborate with product, development, and scientific teams to ensure smooth delivery of bioinformatics solutions.