Position Details
About this role
This role involves developing biomedical data pipelines, supporting genetic research, and implementing scalable scientific applications using full-stack technologies and cloud platforms.
Key Responsibilities
- Develop biomedical applications
- Build data pipelines
- Collaborate with scientists
- Implement machine learning workflows
- Maintain cloud infrastructure
Technical Overview
Stack includes Python, JavaScript frameworks, RESTful APIs, microservices, cloud platforms (AWS, Azure, GCP), big data tools (Spark), and bioinformatics resources.
Ideal Candidate
The ideal candidate is a senior software engineer with over 5 years of experience in full-stack development, proficient in Python and modern JavaScript frameworks, with strong cloud platform experience (AWS, Azure, GCP). They should have a background in bioinformatics or computational biology and experience with big data tools and machine learning pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of software development experience, No experience with cloud platforms (AWS, Azure, GCP), Lack of experience with full-stack development, Inability to work in hybrid environment near Burlington or Durham, NC
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