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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and knowledge of quantitative methods including causal
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collaboration with the Principal Investigators. More specifically, the individual will: · Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; · Create data
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used in the lab. Maintain and update the lab's code (Python package blabpy, R package blabr, assortment of bash/R/Python scripts). Create, document, and manage scripts for data management and
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interpretation Familiarity with statistical software (e.g., Stata, SAS, R, Python) Special Instructions Please submit the following materials: Cover Letter Describe your interest in the position Include your
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. Proficiency in Stata, SAS, R, and/or Python. Additional Qualifications: Proven evidence of independent research in specific advanced field of study. Demonstrated skill at navigating complex organizations
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advanced statistical programming using Stata or R. Additional Qualifications and Skills: Master’s degree preferred. 5+ years experience in statistical programming preferred. 3+ years experience supporting
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analysis and related programs in e.g. R, Python, a plus. The applicant should be comfortable interacting with children of all ages, with undergraduate students, and especially with parents and community
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positions. Harvard University requires pre-employment reference checks and background screenings. This position has a 90 day orientation and review period. The O&R period will be waived for any internal
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manipulate data using requested packages, such as STATA, Python, R, or MATLAB. For behavioral roles, Predocs will manage and manipulate data using qualitative research tools, such as Qualtrics and MTurk