Bioinformatics Scientist

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Job description

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. Please visit for additional information on the background check requirements and process.

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 candidate 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 (). Other biological areas of focus include Influenza vaccination, Lyme disease and West Nile Virus infection as part of the NIH HIPC (), as well as neurologic autoimmune and infectious diseases, and HIV infection. Major data types include CyTOF and transcriptional profiling (single-cell and bulk), along with B cell receptor and T cell receptor repertoire (single-cell and bulk).

The Kleinstein lab () 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 (). We currently make available the Immcantation tool suite (), a start-to-finish analytical ecosystem for high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets.

The ideal candidate will have strong quantitative and programming abilities, along with an interest in applying these skills to problems in immunology. Immediate projects involve working closely with collaborators in Infectious Diseases and Neurology toward translational studies in these disciplines.

Preferred Education, Experience and Skills:

Managing large data sets. Knowledge of basic biology and immunology. Ability to understand scientific underpinnings of the research, including capacity to interact with experimentalists for designing analysis. Good analytical, troubleshooting and interpersonal skills, with ability to work as member of a team. Quantitative academic focus and 3 years of data analysis/programming experience.

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 , or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02. Telephone: , Fax: , TDD: , or Email: .