Senior Software Engineer

Location: Boston, Massachusetts (Hybrid)

Industry: Diagnostics / Biotechnology

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Our Client is seeking a Senior Software Engineer to design, develop, and maintain a genomic diagnostics platform that transforms complex scientific datasets into clinically actionable insights. This role combines backend engineering workflow orchestration, and cloud infrastructure development within a regulated clinical environment, supporting scalable, production‑grade analytical pipelines.

This position plays a critical role in advancing precision diagnostics by building reliable, reproducible, and compliant software systems that enable accurate interpretation of large‑scale genomic data and support real‑world clinical decision‑making.

• Develop and maintain backend systems supporting a genomic diagnostics platform.
• Architect scalable systems capable of large‑scale sequential and distributed data processing.
• Build and optimize cloud‑based backend infrastructure, ideally within GCP environments.

• Lead or own pipeline and workflow architecture in production environments.
• Design, implement, and optimize analytical pipelines for ingestion, transformation, validation, and distributed processing of genomic datasets.
• Utilize workflow orchestration tools such as WDL, Cromwell, Nextflow, Airflow, or equivalent.
• Ensure reproducibility and portability of pipelines through containerization technologies such as Docker.

• Support HPC‑style workflows and large‑scale batch processing systems.
• Develop high‑volume data ingestion systems for scientific and genomic datasets.
• Apply modern software engineering practices to ensure scalability, reliability, and maintainability.

• Maintain strict PHI handling, data privacy, and regulatory compliance standards in a clinical environment.
• Collaborate closely with scientists, bioinformaticians, and cross‑functional stakeholders to translate analytical requirements into scalable engineering solutions.
• Champion reproducible research and validated deployment practices.

• Strong academic foundation in computer science, computational biology, bioinformatics, life sciences, or related field.
• Significant backend development experience in data‑intensive scientific environments.
• Expertise working with large‑scale genomic or scientific datasets.
• Proven experience building, deploying, and maintaining analytical pipelines in production.
• Hands‑on experience with workflow orchestration tools and cloud infrastructure (ideally GCP).
• Experience with containerization technologies such as Docker.
• Strong programming skills in Python, Java, or similar languages.
• Deep understanding of PHI handling, data privacy, and compliance requirements in clinical or research settings.
• Strong collaboration and communication skills.

• Experience in biotech, diagnostics, or genomics environments.
• Familiarity with high‑performance computing (HPC) workflows.
• Experience supporting large‑scale batch or sequential data processing in cloud environments.
• Knowledge of CI/CD, automated testing, and reproducible software development practices.

• Competitive salary
• Comprehensive health benefits
• Retirement savings plan
• Paid Time Off and paid holidays
• Hybrid work flexibility
• Opportunity to contribute to clinically impactful genomic innovations
• Collaborative, mission‑driven engineering culture