The Frailty Research Program at the Hebrew SeniorLife Marcus Institute for Aging Research seeks applicants for a Data Scientist II who has experience in Medicare data programming.
Our mission is to improve care of older adults with frailty by generating high-quality evidence, training future clinicians and researchers, and changing health systems and policy. Toward this mission, Data Scientist I will work together with PIs and other investigators (clinical investigators, epidemiologists, and biostatisticians) to evaluate outcomes of drug therapy, surgical procedures, and healthcare services in older adults, including those who live with frailty and dementia. The main responsibilities of this position include performing SAS programming of Medicare data and other routine healthcare data as specified in research protocol and working closely with the investigators.
A competitive candidate must have the fundamental knowledge about the structure of and coding systems used in Medicare data, and at least 3 years of experience in Medicare data programming related to pharmacoepidemiology or health services research. The candidate must be willing to share ownership and responsibilities of the ongoing projects with PIs to meet study deadlines; must have the ability to work on multiple projects, prioritize tasks, develop workflow, and meet study deadlines; must be self-motivated, and work independently and as a part of a team.
Core Competencies:
• Knowledge and skills: Working knowledge about complex structure of Medicare data; Medicare data programming skills to perform data management, cohort creation, and statistical analysis for pharmacoepidemiology or health services research; and ability to organize analytical tasks and documentation files in a rigorous and reproducible fashion
• Responsibility: Willingness to share ownership and responsibilities of the ongoing projects with PI and other investigators• Project management: Ability to work on multiple projects, prioritize tasks, develop workflow, and meet study deadlines
• Communication: Ability to speak and write in English to communicate research procedures and results
• Teamwork and collaboration: Works effectively within a team, group and across the organization and accomplishes tasks and desired results while behaving constructively as opposed to separately and competitively
Position Responsibilities:
• Perform data management (e.g., convert raw datasets to common data model datasets, standardize variable definitions) of Medicare data, and create and maintain clear and easy to follow documentation of programs, analytic datasets, and other project-specific file to facilitate replication, reproducibility and archiving of projects.
• Create an analytical cohort according to the analysis protocol prepared by the investigators (a typical cohort includes some index event [e.g., drug prescribing or surgical procedure] and measurement of baseline covariates and outcome variables [e.g., time to event, count of health care utilization, and cost]).
• Perform statistical analysis under the instructions of investigators and biostatistician (e.g., propensity score analysis and regression models for continuous, binary, count, and time-to-event variables).
• Work to improve the efficiency of the data analysis process by identifying and addressing inefficiencies, developing a workflow, and standardizing repetitive procedures. Develop SAS programs that are flexible, reusable, scalable, computationally efficient, and maintainable. Establish protocols for quality control to ensure accuracy of programming.
• Meet competing deadlines, create timelines, prioritize tasks, and communicate changes to the timelines with researchers.
• Assist the investigators in scientific presentation, manuscript writing, and grant writing by providing sample size count and preparing tables and figures from the analysis.
• The above covers the most significant responsibilities of the position. It does not, however, exclude other duties, which would be in conformity with the level of the position. Completes special projects as assigned.
• Must have professional experience of at least 3 years in Medicare data programming for pharmacoepidemiology or health services research. Master’s degree in related field (e.g., public health, epidemiology, statistics, quantitative social sciences, or economics) strongly preferred.
• Must be proficient in SAS. Experience with SQL, Stata, Excel, R, and Python a plus.
• Must have strong experience with medical coding systems (e.g., NDC, ICD-10, HCPCS, CPT) and an understanding of epidemiologic principles and basic medical terminology.
• Must have ability to work on multiple projects, adapt to project demands, prioritize tasks, develop workflow, and meet study deadlines.
• Must have ability to work with minimal supervision, be self-motivated, and work independently and as a part of a team.
• Must exhibit respect for participant confidentiality (including compliance to HIPAA Protected Health Information regulations), excellent communication skills, careful attention to details, good organizational skills, and ability to follow directions.
• Must be professional, proactive, collaborative, conscientious and results-oriented individual. Must have an optimistic and positive demeanor, excellent oral and written communication skills, good intuition and able to adapt to changing priorities and display good, sound judgment.
• Must be motivated to learn and flexible to change.
Our ideal candidate also will possess:
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