Position Focus:

The Kleinstein Lab (Yale School of Medicine, Department of Pathology) is seeking a highly motivated bioinformatics scientist to work in the area of computational immunology. The successful candidates will work in a highly collaborative environment on systems-level human immune profiling studies.

Several ongoing projects involve profiling the immune response in COVID-19, including a large cohort of ~1000 hospitalized patients as part of the NIH IMPACC network (https://www.niaid.nih.gov/news-events/niaid-study-examines-immune-responses-people-covid-19). Other biological areas of focus include Influenza vaccination, Lyme disease and West Nile Virus infection as part of the NIH HIPC (https://immuneprofiling.org), as well as autoimmune disease. Major data types include transcriptional profiling (single-cell and bulk), along with B cell receptor and T cell receptor repertoire (single-cell and bulk). For interested candidates, there are opportunities to be involved with computational methods development related to high-throughput BCR repertoire analysis (including single cell RNA-seq + BCR) and multi-omics data integration.

The Kleinstein lab (https://medicine.yale.edu/lab/kleinstein) pairs big data analyses with immunological expertise to better understand how the dynamic processes of the immune system affect the course of infection, vaccination and autoimmunity. The lab has developed many widely used analysis methods for high-throughput immune profiling data, particularly transcriptomic and B cell receptor repertoire sequencing data (https://medicine.yale.edu/lab/kleinstein/software). We currently make available the Immcantation tool suite (http://immcantation.org), a start-to-finish analytical ecosystem for high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets.

Essential Duties

1. Develops operational procedures for collection, editing, verification, and management of statistical data. 2. Develops and implements relevant statistical programs to incorporate data from multiple projects. 3. Designs comprehensive relational databases with working knowledge of the scientific applications impacting on the data analysis and reporting. 4. Assists faculty and other research professionals with the formulation and description of appropriate statistical methods. 5. Evaluates research studies and recommends statistical procedures to analyze the data. 6. Carries out comprehensive statistical analysis for a broad spectrum of types of data and types of studies. 7. Integrates the research methodologies of multiple projects into bio-statistical analyses. 8. Prepares reports summarizing the analysis of research data, interpreting the findings and providing conclusions and recommendations. 9. Presents talks, seminars, or other oral presentations on the methodology and analysis used in scientific studies. 10. Assists investigators in preparation of research grant applications by writing research methods sections pertaining to acquisition, analysis, relevance and validity of data. 11. Participates in the preparation of manuscripts that are submitted for peer reviewed publication. 12. May supervise and provide training for lower level or less experienced employees. 13. May perform other duties as assigned.

Required Education and Experience

Master’s Degree in Biostatistics, Statistics, or relevant field. Four years of experience, or an equivalent combination of education and experience.

Required Skill/Ability 1:

Strong programming skills in Python, R, and *nix shell scripting.

Required Skill/Ability 2:

Solid knowledge of and ability to apply standard software development principles, theories, concepts and techniques. Excellent oral and written communication skills.

Required Skill/Ability 3:

Ability to understand scientific underpinnings of the research. Ability to exercise independent judgment and prioritize complex tasks.

Required Skill/Ability 4:

Demonstrated analytical, troubleshooting and interpersonal skills.

Required Skill/Ability 5:

Ability to work as member of a team.

Preferred Education, Experience and Skills:

Ph.D. in Bioinformatics, Computer Science, Mathematics, Statistics or related discipline & 3-5 years of data analysis/programming experience, or an equivalent combination of education and experience in bioinformatics. Managing large data sets. Knowledge of basic biology and immunology.

Evening Hours Required?

Occasional

Drug Screen

No

Health Screening

No

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. Please visit www.yale.edu/hronline/careers/screening/faqs.html for additional information on the background check requirements and process.

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.

Affirmative Action Statement:

Yale University considers applicants for employment without regard to, and does not discriminate on the basis of, an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Title IX of the Education Amendments of 1972 protects people from sex discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at TitleIX@yale.edu, or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02109-3921. Telephone: 617.289.0111, Fax: 617.289.0150, TDD: 800.877.8339, or Email: ocr.boston@ed.gov.

Note

Yale University is a tobacco-free campus