You will work on mid to large scale data analysis projects across various domains such as development science and algorithm development. This data scientist will play an integral role in designing data collection strategy, development of data analysis tools, automation of reports, integration of various tools into existing data pipeline.
You will get the opportunity of working in a fast-paced environment developing custom data analysis tools and implementing data science techniques for analyzing and transforming data to build solutions that have the potential to transform people's lives.
You will work with development science, clinical affairs and algorithm development partner teams on development, validation, and verification of various data analysis tools.
Qualifications Must Have
- Master's Degree (Or Ph.D) in Statistics, Data Science, Computational Biology, Computer Science, Electrical or Computer Engineering, Microbiology or related field
- 5 years' experience developing and validating large scale data analysis tools.
- 5 years wrangling, analyzing and visualizing biological growth data (seaborn, plotly,matplotlib)
- Competence in signal processing, timeseries and statistical analysis
- 5 years' of Python experience
Nice to Have
- Life science/ biopharma/medical device background
- R experience
- Familiarity with design controls (FDA 21 CFR 820 and ISO 13485)