InfoTree
Data Scientist
InfoTree, West Sacramento, California, us, 95798
Job Description
JOB TITLE: Data Scientist JOB LOCATION: West Sacramento, CA (Onsite Position) Contract Duration: 05 months JOB DESCRIPTION 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, and integration of various tools into existing data pipeline. You will get the opportunity to work 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 collaborate with development science, clinical affairs, and algorithm development partner teams on the 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 a 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) Traditional ML/DL experience Git/Github
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JOB TITLE: Data Scientist JOB LOCATION: West Sacramento, CA (Onsite Position) Contract Duration: 05 months JOB DESCRIPTION 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, and integration of various tools into existing data pipeline. You will get the opportunity to work 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 collaborate with development science, clinical affairs, and algorithm development partner teams on the 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 a 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) Traditional ML/DL experience Git/Github
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