- You will be a part of the fast-growing field of Clinical Diagnostics developing algorithms for molecular diagnostics based on real-time PCR technologies.
- Organize and data mine / annotate clinical data to assess the performance of clinical tests
- Work closely with scientists and engineers with data analysis & experimental design
- Develop software and analysis pipelines for data mining large datasets and auto generation of reports
- Develop classification algorithms and model data
- Evaluate algorithms needed for filtering, clustering and qualification of data and Perform root cause analysis.
- Collaborate and communicate with various teams and business units
- 3+ years of product development experience (biotechnology industry preferred)
- Strong hands on data analysis, modeling, and classifiers experience
- Data structures and common methods in data transformation
- Pattern recognition and predictive modeling skills
- Excellent programming skills in C++, Java and Python
- Experience utilizing Matlab, JMP, R, PowerBI or SPSS
- Experience working in regulated / validated environment is a major plus
- Understanding of clinical trial design and evaluation
- Knowledge in Molecular Biology and Clinical Diagnostics
- Strong understanding of qPCR and amplification curve data
- Prior experience with US-FDA 510k product development/submission, 21 CFR Part 11, and ISO 13485 is highly preferred
- Ability to present and communicate analytical and clinical study analysis results to non-experts
- Ability to work independently and in a team environment
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Description
Position Role/Tile: Bioinformatics Data Scientist / Engineer / QA
Location: South San Francisco OR Pleasanton, CA . How will you make an impact?