Bioinformatics Software Engineer

About the position

The role of bioinformatics software engineer at Sarepta is an exciting opportunity for someone with a background in science and software engineering. In this hands-on role the bioinformatics software engineer will support Genomics and Data Science projects, as well as collaborations across Research and Development. As a member of a bioinformatics software engineering and data architecture sub-team, you will make cloud-based tools and applications that leverage Sarepta's data fabric and the team's genomics expertise to pull the genetic therapies of tomorrow into today. As you build your portfolio, you will have opportunities to participate in projects that run across the entire drug development process - including target identification, target validation, clinical investigation, and commercialization.

Responsibilities

• Collaborate on and maintain software solutions to support R&D programs; platforms, reporting, and analytics
• Develop and maintain platforms for managing and annotating genetic data, joining them with other datasets and APIs
• Develop and maintain interactive applications and visual dashboards on top of internal and external data platforms
• Troubleshoot software and workflow problems, ensuring robust and scalable production solutions
• Create and maintain comprehensive documentation, both technical and for non-technical stakeholders
• Evaluate and implement new software tools and technologies where valuable
• Support the development and deployment of software applications across the team using best practices in software engineering

Requirements

• BS/ MS / Ph.D. in a STEM discipline with prior software engineering experience: BS/MS with 4+ years of hands-on experience in the biotech/pharmaceutical industry or Ph.D. with 1+ years of professional experience
• Applied knowledge of software design patterns, data modeling, and software architecture
• Practical experience across the software development lifecycle and associated tools, e.g. Gitlab, Confluence/Jira, deploying to cloud
• Prior experience in bioinformatics and utilizing scientific discipline-specific datatypes, e.g. VCF, CRAM/BAM, or similar experience in another scientific field
• Strong Proficiency in Python and/or R and developing in a (containerized) Linux environment
• Experience using/developing simple APIs in Django/Flask/FastAPI strongly preferred
• Proficiency in relational database interaction, MySQL, PostgreSQL and/or data warehousing, Snowflake, Redshift
• Basic Experience with AWS services (EC2, S3, Batch etc.)
• Undergraduate level of genetics understanding
• Experience with workflow definition frameworks e.g. Dagster, Airflow and/or Nextflow preferred
• Experience with web-based data visualization frameworks including R/Shiny and Python/Streamlit a plus
• Excellent written and verbal communication skills

Benefits

• Physical and Emotional Wellness
• Financial Wellness
• Support for Caregivers