PrognomiQ aims to transform healthcare by developing and commercializing tests for early detection and treatment of cancer and other complex diseases using systems biology data and multi-omics platforms.
Requirements
- Strong programming skills in languages like Python, R, C-Sharp, JavaScript for data analysis and modeling
- Experience in working with high-performance computing environments (AWS preferred)
- Demonstrated skills in proper experimental design, troubleshooting challenges, and interpreting complex data
- Experience developing codebases and software libraries following industry best practices
Responsibilities
- Research and apply novel methods to extract disease-specific features from high-dimensional data, improving classification performance in cancer diagnostic platforms.
- Support experimental design for product development with statistical requirements based on clinical regulatory guidelines.
- Drive data analysis with statistical methods and support a high-impact data-driven make-decision.
- Work within cloud infrastructure environments, e.g., Amazon Web Services (AWS) to implement code logics and collaborate with software engineers to incorporate codebase to production pipelines as needed.
- Document results of analyses and investigations in a reproducible manner and communicate insights to both experts and non-experts.
- Collaborate with cross-functional teams to streamline laboratory workflows through software automation.
Other
- M.S. degree in computer science, data science, mathematics, statistics, bioinformatics, or related fields, or equivalent practical experience (Ph.D. preferred)
- 3+ years of experience in the related field
- Strong problem-solving skills and ability to work independently and collaboratively across multi-functional teams.
- Desire to focus on breakthroughs in an exciting, fast-paced startup environment
- Experience working in a clinical, diagnostics, or biotech environment.
- Understanding of statistical methods in regulatory and compliance frameworks such as CLIA, HIPAA, and 21 CFR Part 11.
