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Essential Duties
1. Creates a relational database from existing study data currently stored in multiple data sources. Designs comprehensive and relational databases with advance knowledge of relevant applications impacting on the data analyses and reporting. 2. Develops and documents operational procedures for the collection, editing, verification and management of study data. Documents all study data files, data structure and relationships, variable definitions and data codes. Writes detailed specifications for analysis files and performs consistency checks. 3. Develops and implements relevant statistical programs to incorporate data from multiple studies/projects. 4. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 5. Evaluates and analyzes data using accepted statistical techniques and statistical analysis software. Performs descriptive and multivariate statistical analyses of data, using computer software. 6. Uses advanced statistical knowledge to provide support in managing and analyzing data. 7. Designs and implements quality control measures to ensure accurate collection and processing of data. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 8. Responsible for the documentation and transmission of study data. Ensures that data are collected and completed in a timely manner at each site location. 9. May perform other duties as assigned.
Required Education and Experience
Master's degree in statistics, computer science, business administration or a related field and two years of demonstrated experience in data management and analysis or equivalent combination of education and demonstrated experience. Demonstrated experience with data collection and in coordinating efforts of multiple groups.
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Position Focus:
Yale School of Public Health (YSPH) seeks a Data Analyst for the Viral Emergence Research Initiative (Verena) NSF Biology Integration Institutes (BII) program, which supports a range of research, education, and outreach initiatives related to viral ecology, evolution, and emergence.
Reporting to the Principal Investigator of the BII program, the qualified candidate will oversee the expansion of Verena's open data infrastructure, including the maintenance of existing databases, the development of new platforms, and the management of large omic datasets.
Essential Duties include develop and improve pipelines for Verena core databases (e.g., VIRION). Maintain the back-end infrastructure for public-facing web interfaces to Verena databases (e.g., the PHAROS platform), and work closely with front-end developer(s) to improve interfaces and expand these platforms. Lead long-term efforts to combine Verena databases into a single integrated platform. Contribute to the testing and maintenance of software packages in open scientific programming languages (e.g., R, Python, Julia). Provide technical support for a multi-university collaborative project on the comparative immunology of wild bats, including data management for large proteomic datasets. Support on-team and external researchers with data entry and management. Support collaborative research with other Verena investigators related to the scientific mission of the program, including in areas such as proteomic analysis of animal immune responses to viral infection, or machine learning models of host-virus interactions. Participate in lab meetings and activities within the Yale Public Health Modeling Unit.
Posting Disclaimer
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.
EEO Statement:
University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans. Additionally, in accordance with Yale's Policy Against Discrimination and Harassment, and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Required Skill/Ability 3:
Proven experience with AirTable, AWS, PostGIS, Postgres, and/or SQL or equivalent, as well as other software for managing large datasets (e.g., Apache Arrow).
1. Creates a relational database from existing study data currently stored in multiple data sources. Designs comprehensive and relational databases with advance knowledge of relevant applications impacting on the data analyses and reporting. 2. Develops and documents operational procedures for the collection, editing, verification and management of study data. Documents all study data files, data structure and relationships, variable definitions and data codes. Writes detailed specifications for analysis files and performs consistency checks. 3. Develops and implements relevant statistical programs to incorporate data from multiple studies/projects. 4. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 5. Evaluates and analyzes data using accepted statistical techniques and statistical analysis software. Performs descriptive and multivariate statistical analyses of data, using computer software. 6. Uses advanced statistical knowledge to provide support in managing and analyzing data. 7. Designs and implements quality control measures to ensure accurate collection and processing of data. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 8. Responsible for the documentation and transmission of study data. Ensures that data are collected and completed in a timely manner at each site location. 9. May perform other duties as assigned.
Required Education and Experience
Master's degree in statistics, computer science, business administration or a related field and two years of demonstrated experience in data management and analysis or equivalent combination of education and demonstrated experience. Demonstrated experience with data collection and in coordinating efforts of multiple groups.
Background Check Requirements
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Position Focus:
Yale School of Public Health (YSPH) seeks a Data Analyst for the Viral Emergence Research Initiative (Verena) NSF Biology Integration Institutes (BII) program, which supports a range of research, education, and outreach initiatives related to viral ecology, evolution, and emergence.
Reporting to the Principal Investigator of the BII program, the qualified candidate will oversee the expansion of Verena's open data infrastructure, including the maintenance of existing databases, the development of new platforms, and the management of large omic datasets.
Essential Duties include develop and improve pipelines for Verena core databases (e.g., VIRION). Maintain the back-end infrastructure for public-facing web interfaces to Verena databases (e.g., the PHAROS platform), and work closely with front-end developer(s) to improve interfaces and expand these platforms. Lead long-term efforts to combine Verena databases into a single integrated platform. Contribute to the testing and maintenance of software packages in open scientific programming languages (e.g., R, Python, Julia). Provide technical support for a multi-university collaborative project on the comparative immunology of wild bats, including data management for large proteomic datasets. Support on-team and external researchers with data entry and management. Support collaborative research with other Verena investigators related to the scientific mission of the program, including in areas such as proteomic analysis of animal immune responses to viral infection, or machine learning models of host-virus interactions. Participate in lab meetings and activities within the Yale Public Health Modeling Unit.
Posting Disclaimer
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.
EEO Statement:
University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans. Additionally, in accordance with Yale's Policy Against Discrimination and Harassment, and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Required Skill/Ability 3:
Proven experience with AirTable, AWS, PostGIS, Postgres, and/or SQL or equivalent, as well as other software for managing large datasets (e.g., Apache Arrow).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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