Beyond-ED · 1 day ago
Senior Software Engineer.
Beyond-ED is seeking a highly skilled engineer to develop and maintain a genomic diagnostics platform, transforming raw genomic and scientific datasets into clinically actionable insights. The role involves backend development, workflow orchestration, and cloud infrastructure, with a strong emphasis on scientific computing and analytical pipelines.
Responsibilities
Develop and maintain a genomic diagnostics platform and associated backend systems
Lead or own pipeline and workflow architecture in production environments
Design, implement, and optimize analytical pipelines for large-scale scientific or genomic datasets, including ingestion, transformation, validation, and distributed processing
Work with workflow orchestration tools such as WDL, Cromwell, Nextflow, Airflow, or equivalents
Build cloud-based backend systems, ideally on GCP, capable of handling large volumes of sequential data processing
Ensure containerization and reproducibility of pipelines using Docker or other container technologies
Maintain strong PHI handling, data privacy, and compliance practices in scientific or clinical environments
Collaborate with cross-functional teams to translate complex analytical requirements into scalable engineering solutions
Focus on scientific computing, HPC-style workflows, and large-scale data ingestion systems
Qualification
Required
10+ years of experience as a Software Engineer in clinical, life sciences, biotech, genomics, diagnostics, or other regulated scientific environments
Mandatory academic and professional background in Clinical, Life Sciences, Bioinformatics, Computational Biology, Biomedical Engineering, or a closely related field
Proven experience building, deploying, and maintaining production-grade backend systems for data-intensive scientific or clinical applications
Hands-on expertise with large-scale genomic, clinical, or scientific datasets
Strong experience designing and operating analytical and data processing pipelines in production environments
Solid hands-on experience with workflow orchestration frameworks and cloud infrastructure supporting large-scale batch or sequential processing
Proficiency in containerization and reproducibility technologies (e.g., Docker, Kubernetes)
Deep understanding of data privacy, PHI, HIPAA/GDPR, and compliance requirements in clinical or research settings
Experience working with HPC (High-Performance Computing) workflows
Strong knowledge of modern software engineering best practices, including testing, CI/CD, and reproducible research pipelines
Excellent communication and collaboration skills, with the ability to work closely with scientists, clinicians, bioinformaticians, and engineers
Preferred
Analytical and problem-solving mindset with a focus on scalable engineering solutions
Ability to translate complex scientific requirements into practical computational workflows
Strong programming and software development skills in Python, Java, or similar languages
Hands-on experience with cloud platforms, ideally GCP, and distributed data processing frameworks
Commitment to high-quality, reproducible, and compliant scientific computing practices
Company
Beyond-ED
Beyond is a community for professionals who are exploring new opportunities and working to upgrade their skills to stay competitive in today’s job market.
Funding
Current Stage
Early StageCompany data provided by crunchbase