Essential Duties
1. Evaluates and analyzes data using accepted statistical and biostatistical techniques. 2. Investigates, analyzes, and evaluates complex statistical and programming problems. Determines proper methodology, testing standards, and evaluation processes for research projects. Recommends and develops statistical approaches for use in analyses. 3. Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures; communicates with clients regarding statistical analysis issues. 4. In collaboration with research investigators, contributes to the design of research studies, develops analytical plans, conducts statistical analysis and interpret the results. 5. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 6. Plans statistical programming activities and schedules to provide investigators with time frames for projects. 7. Recommends and develops statistical approaches by testing and prototyping. 8. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 9. May perform other duties as assigned.
Required Education and Experience
Master's Degree in Biostatistics, Statistics or relevant field. Two years of experience; or equivalent combination of education and experience.
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:
The Kleinstein Lab (Program in Computational Biology & Biomedical Informatics and Department of Pathology, Yale School of Medicine) is seeking a skilled and motivated Computational Biologist to join our team to work on the development and implementation of Common Data Elements (CDEs) to capture and standardize sample types for immune profiling studies related to human infection and vaccination. The ideal candidate will have a strong background in biology and bioinformatics, with experience in data management, immune profiling studies, and clinical research datasets. This position will focus on creating standardized data frameworks to support cross-study comparison, data sharing, and integration in immunology research.
Key Responsibilities
Working with multiple NIH repositories and consortia, such as the Human Immunology Project Consortium (HIPC), to carry out the development of CDEs specifically focused on sample types and systems-level profiling experiments in immune profiling studies, ensuring consistency, accuracy, compliance with established standards, and linkage to relevant ontologies.
Review data collection forms/templates from NIH repositories (including IEDB, ImmPort, GEO, and SRA) along with existing data standards, to identify relevant data elements for development of CDEs. Analyze submissions to these repositories to identify the set of allowed values for these data elements.
Collaborate with immunologists, clinical researchers, and bioinformaticians to ensure coverage of critical variables and metadata needed for immune profiling of human infection and vaccination studies.
Design CDEs that capture sample types (e.g., blood, tissue, cells, etc.) and other related metadata for immune profiling datasets.
Work closely with NIH repositories and researchers to ensure that CDEs align with study-specific needs and support effective data collection, sharing, and integration across multiple studies and platforms.
Prepare necessary supporting materials and submit the proposed CDEs to NIH for endorsement.
*Applicants should submit a letter of interest describing their background with their applications*
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 1:
Strong understanding of immune system biology and immune profiling techniques, including knowledge of human infection and vaccination studies.
Required Skill/Ability 3:
Database management experience, ideally related to clinical or lab studies in a biomedical field; concrete understanding of genomic tools and repositories.
Required Skill/Ability 4:
Proven experience in the development of metadata standards for biological or clinical research datasets is highly desirable. Excellent communication and collaboration skills, with a demonstrated ability to work across interdisciplinary teams.
Required Skill/Ability 5:
Familiarity with high-throughput immune profiling data (gene expression, flow cytometry, NGS, etc) and public NIH data repositories, such as ImmPort, GEO, SRA, IEDB, etc.
