Job ID: 103741
Job date: 2017-10-06
End Date:
Company : University of Chicago Country : Role : Research Scientist
Job date: 2017-10-06
End Date:
Company : University of Chicago Country : Role : Research Scientist
Job Description:
The Data Scientist will work closely with faculty in the Department of Public Health Sciences to obtain, manage and analyze data for several health policy projects. Examples include (but are not limited to) a project on Medicaid policy and another on the quality of nursing home care. Much of this work will involve using large claims (e.g., Medicare and Medicaid) and other administrative datasets. The incumbent will be responsible for managing, manipulating and summarizing these datasets, deriving new variables, and combining and reorganizing data for specific analyses. There will also be opportunities to perform statistical analyses based on the incumbent's interest and skills. The Data Scientist will be responsible for designing and implementing procedures for accomplishing these tasks that are both efficient and reproducible, and for writing corresponding documentation. This position is located within the Department's Research Computing Group (RCG), and the incumbent will have an opportunity to interact with other RCG members. The RCG applies and develops computational tools to solve specific research problems. Computational resources available include large Linux and Windows workstations (i.e., 64 cores, 1TB RAM) as well as a high-performance computing cluster (both maintained by the University's Center for Research Informatics). This at-will position is wholly or partially funded by extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Employment will be contingent upon the continued receipt of these extramural funds and satisfactory job performance. If this position is eliminated due to the discontinuation of extramural funding,a minimum of one pay period's written notice will be given (If exempt: 30 days, If non-exempt: 2 weeks), or pay in-lieu of notice. Education Required: Bachelor's degree in computer science, statistics, or other quantitative field (e.g., economics, physics, etc.). Preferred: Advanced degree in computer science, statistics, or discipline involving data analysis. Preference will be given to those who have completed coursework (either as part of their degree program or continuing education) in one or more programming languages and/or focusing explicitly on data manipulation and analysis (e.g., bioinformatics, data science, etc.). Experience Required: At least one year of relevant experience in the manipulation and/or analysis of quantitative research data. Preferred: Experience working with Medicare and/or Medicaid data. Experience in working with big data (e.g., insurance claims, genetics and genomics, social media, environmental data, etc.), including using advanced computing platforms and techniques to accommodate large datasets. Experience and/or interest in health policy research. Competencies Required: Solid command of at least one computing language/environment appropriate for data analysis (e.g., SAS, Stata, R, Python, etc.). Excellent verbal and communication skills. Ability to work in a collaborative team environment. Preferred: Solid command of SAS and/or Stata. Good understanding of fundamental concepts, practices and procedures of programming. Knowledge of Git (or similar version control system). Knowledge of Linux/Unix operating system.
Additional Info:
About the Unit Public Health Sciences is the home in the Biological Sciences Division for the core quantitative research fields in public health: biostatistics, epidemiology and health services research. Our faculty both lead research projects in these fields and participate in interdisciplinary teams with faculty in other departments to address complex problems in health and healthcare, in our communities and around the globe. We provide training in these fields through two degree programs: a flexible doctoral program that may focus on any of our core areas and a MS degree for clinical professionals, designed to provide physicians and other doctoral-level providers with the methods to carry out rigorous research in clinical epidemiology and health services. Through our Biostatistics Laboratory we provide a collaborative service to investigators throughout the Biological Sciences Division to design studies, oversee data collection and analyze and interpret data. [Click Here to Access the Original Job Post]
The Data Scientist will work closely with faculty in the Department of Public Health Sciences to obtain, manage and analyze data for several health policy projects. Examples include (but are not limited to) a project on Medicaid policy and another on the quality of nursing home care. Much of this work will involve using large claims (e.g., Medicare and Medicaid) and other administrative datasets. The incumbent will be responsible for managing, manipulating and summarizing these datasets, deriving new variables, and combining and reorganizing data for specific analyses. There will also be opportunities to perform statistical analyses based on the incumbent's interest and skills. The Data Scientist will be responsible for designing and implementing procedures for accomplishing these tasks that are both efficient and reproducible, and for writing corresponding documentation. This position is located within the Department's Research Computing Group (RCG), and the incumbent will have an opportunity to interact with other RCG members. The RCG applies and develops computational tools to solve specific research problems. Computational resources available include large Linux and Windows workstations (i.e., 64 cores, 1TB RAM) as well as a high-performance computing cluster (both maintained by the University's Center for Research Informatics). This at-will position is wholly or partially funded by extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Employment will be contingent upon the continued receipt of these extramural funds and satisfactory job performance. If this position is eliminated due to the discontinuation of extramural funding,a minimum of one pay period's written notice will be given (If exempt: 30 days, If non-exempt: 2 weeks), or pay in-lieu of notice. Education Required: Bachelor's degree in computer science, statistics, or other quantitative field (e.g., economics, physics, etc.). Preferred: Advanced degree in computer science, statistics, or discipline involving data analysis. Preference will be given to those who have completed coursework (either as part of their degree program or continuing education) in one or more programming languages and/or focusing explicitly on data manipulation and analysis (e.g., bioinformatics, data science, etc.). Experience Required: At least one year of relevant experience in the manipulation and/or analysis of quantitative research data. Preferred: Experience working with Medicare and/or Medicaid data. Experience in working with big data (e.g., insurance claims, genetics and genomics, social media, environmental data, etc.), including using advanced computing platforms and techniques to accommodate large datasets. Experience and/or interest in health policy research. Competencies Required: Solid command of at least one computing language/environment appropriate for data analysis (e.g., SAS, Stata, R, Python, etc.). Excellent verbal and communication skills. Ability to work in a collaborative team environment. Preferred: Solid command of SAS and/or Stata. Good understanding of fundamental concepts, practices and procedures of programming. Knowledge of Git (or similar version control system). Knowledge of Linux/Unix operating system.
Requeriments :
Skills :
- Bioinformatics
- Genetics
- genomic
- HPC
- Lunix/Unix
- Programing in Python
- Programing Skills
- Programming in R
- Programming in SAS
- Statistics
Areas :
Additional Info:
About the Unit Public Health Sciences is the home in the Biological Sciences Division for the core quantitative research fields in public health: biostatistics, epidemiology and health services research. Our faculty both lead research projects in these fields and participate in interdisciplinary teams with faculty in other departments to address complex problems in health and healthcare, in our communities and around the globe. We provide training in these fields through two degree programs: a flexible doctoral program that may focus on any of our core areas and a MS degree for clinical professionals, designed to provide physicians and other doctoral-level providers with the methods to carry out rigorous research in clinical epidemiology and health services. Through our Biostatistics Laboratory we provide a collaborative service to investigators throughout the Biological Sciences Division to design studies, oversee data collection and analyze and interpret data. [Click Here to Access the Original Job Post]