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Associate Research Scientist
communicate study results Serve as the analytics expert on projects, making recommendations on study direction Required Qualifications Master's degree in health services research or a related field Proficiency in programming languages such as R, Python
Senior Data Scientist
quantitative data analysis role involving user behavior and large data sets Expertise in statistics, hypothesis testing, and experiment design Experience with predictive models and causal inference models Proficiency in data analysis tools such as R, Python
Temporary Research Assistant
Informatics, or a related field Knowledge Company Bioinformatics and computational analysis Proficiency in database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint Preferred knowledge Company statistical software packages like SPSS, SAS, R, Python
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Clinical Research Data Scientist
degree in Data Science, Computer Science, Biostatistics, Bioinformatics, or a related field Proven experience with clinical or biomedical data in a research or healthcare setting Proficiency in statistical analysis and advanced programming skills in Python
Lead Statistical Programmer Analyst
Required Qualifications Bachelor's/Master's degree in Statistics, Mathematics, Computer Science, or related field with at least 8 years of clinical programming experience Proven knowledge of high-level computing languages such as SAS, C/C++, Java, R, Python
Senior Research Analyst
senior management and stakeholders Required Qualifications Bachelor's degree in a relevant field or equivalent experience Five to eight years of senior-level research/analytics experience in underwriting automation or related areas Proficiency in R, Python
Lead Statistical Programmer Analyst
Required Qualifications Bachelor's/Master's degree in Statistics, Mathematics, Computer Science, or related fields with at least 8 years of clinical programming experience Proven knowledge in high-level computing languages such as SAS, C/C++, Java, R, Python
Senior Research Analyst
candidates are also considered 5+ years of experience in applied education research, particularly in K-12 education Experience in designing and executing quantitative research studies Strong technical skills in data analysis, including proficiency in R/Python
Temporary Researcher in EOD
social sciences, or related discipline plus 1 year of related experience Proven interest Company experience in environmental risk factors Company quantitative methodologies Working ability with at least one statistical programming language, preferably R or Python