1.    Work with the leadership of Data Management and Analytics to lead other data and analytics specialists in providing data and analytics support to various CORE projects, including data acquisition, data integration, data curation, data analysis, results summarization and interpretation, technical write up, and other relevant activities. 2.    Participate in recruiting, developing, and managing analytics talents to build and grow a team of talented data specialists. Foster a success-oriented environment of accountability and a culture of diversity, respect, and inclusion. 3.    Provide leadership in developing systematic and efficient approaches to projects to ensure successful outcomes. Champion high standards and best practice. 4.    Provide directions on study design, analysis plan, timeline and reporting of information on assigned projects to ensure successful completion of the projects according to CORE business plan. 5.    Provide guidance to other analysts on design and development of analytic approaches tailored to the unique needs of various CORE projects to ensure success. Provide effective leadership and project management to ensure high quality and timely completion of projects. 6.    Identify research and analytics initiatives to support CORE's strategic development, proactively adopting new and better analytical approaches to address problems at hand. 7.    Provide statistical training and mentorship to CORE statisticians/analysts and other CORE members. 8.    Prepare analytic deliverables, including presentations, reports, research papers, etc. 9.    Interface with both internal and external collaborators to achieve CORE project objectives. 10.    Participate in preparing and reviewing research grant and/or contract proposals. 11.    Work with the leadership of Data Management and Analytics to build and maintain an efficient, reliable, and high-capacity data management and computing infrastructure.

Required Skill/ability 1:  Mastery of at least one analytic framework (R, Python, STATA) and experience with some cloud technologies.

Required Skill/ability 2:  Demonstrated experience working with large and/or complex datasets. Expertise in causal inference, econometrics and social science research methods.

Required Skill/ability 3:  Ability to deal well with ambiguity and act with autonomy.

Required Skill/ability 4:  Strong interpersonal skills, communication skills, and the ability to interact well with faculty, staff, fellows, government policy makers and research partners internally and externally.

Required Skill/ability 5:  Ability to prioritize and manage multiple assignments simultaneously.

Preferred Education:  Ph.D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields. 5+ years of work experience post-Ph.D. Policy or health care research experience. Proven experience working with large and complex data sets, experimental design, and causal inference.

Work Week:  Standard (M-F equal number of hours per day)

Posting Position Title:  Statistician 3

University Job Title:  Senior Data Scientist

Preferred Education, Experience and Skills:  Ph.D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields. 5+ years of work experience post-Ph.D. Policy or health care research experience. Proven experience working with large and complex data sets, experimental design, and causal inference.

Master's degree or higher in Biostatistics, Statistics, or relevant field. At least 5  years of experience, or an equivalent combination of education and experience. Proficiency in data management and analysis processes and documentation, familiarity

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