Senior Software Engineer/Founding Member

• Languages: Python, R, Bash, Java, PyTorch/Pyro
  


• Frameworks: WDL, Cromwell, GCP Batch
  


• Infrastructure: GCP, S3, Docker, CI/CD pipelines
  


• Data Tools: PostgreSQL, Pandas, cloud\-based data lakes
  


• Monitoring: Prometheus, Grafana
  


• Interfaces: Command\-line and configuration\-based systems (GUI optional)
  

• Bachelor’s degree in Computer Science, Bioinformatics, or a related field required; Master’s degree preferred.
  


• Experience working within a diagnostic, healthcare, or life sciences organization is highly desirable.
  

Requirements

• Lead the development and optimization of large\-scale batch data processing workflows for raw genomic or scientific datasets.
  


• Design and maintain distributed backend services and workflow orchestration systems to handle complex analytical pipelines.
  


• Architect and own high\-performance cloud infrastructure supporting large data volumes and sequential processing (GCP strongly preferred).
  


• Build tools for validating, transforming, and preparing scientific datasets for downstream analysis.
  


• Ensure pipeline reproducibility, audit ability, and robustness under strict regulatory and data privacy requirements.
  

• Collaborate closely with bioinformatics and scientists to translate analytical workflows into scalable engineering solutions.
  


• Participate in design reviews focused on workflow optimization, throughput, and computational efficiency.
  

• 6+ years of professional software engineering experience with a significant focus on data processing, scientific computing, or workflow/pipeline development.
  


• Demonstrated experience leading or owning complex pipeline architecture (not just contributing).
  


• Strong background in large batch data processing, HPC\-style workflows, or scientific/analytical pipelines.
  


• Master’s degree required in Computer Science, Bioinformatics, Computational Biology, or related field.
  

• A Bachelor’s may be considered only with exceptional, directly relevant scientific computing experience.
  

• Experience in biotech, diagnostics, genomics, or a closely related scientific domain is required.
  


• Proficiency in Python and modern workflow frameworks (WDL, Nextflow, Cromwell, etc.).
  


• Proven cloud experience (GCP strongly preferred).
  


• Strong understanding of security, privacy, and handling of PHI.
  

• 7–10+ years of experience building and scaling scientific workflows or distributed data pipelines.
  


• Direct experience processing genomic, imaging, or other scientific raw data.
  


• Proven ability to optimize end\-to\-end workflows for speed, cost, and reliability.
  


• Experience with workflow orchestration, high\-throughput computer systems, and scientific reproducibility tools.
  

Benefits

• Salary Range: $165K–$190K per year.
  


• Competitive salary and benefits package commensurate with experience.
  


• Equity participation through FGI’s upcoming partner program.
  


• Flexible remote or hybrid work options (Boston\-based collaboration preferred).
  


• Mission\-driven culture with strong emphasis on transparency, innovation, and collaboration.
  

• Work Environment: This is a fully remote position. The employee must have a reliable internet connection and a suitable workspace.
  


• Physical Requirements: Regular use of a computer, including extended periods of screen time. Occasional participation in virtual meetings.