The O’Donnell Research Group at the Yale Child Study Center seeks an innovative and driven Biostatistician/Neuroepidemiologist to support the expansion of our research team. The O’Donnell Group seeks to better understand how the early social environment becomes biologically embedded to shape brain development/function across the lifespan. We do so by integrating genetic and epigenetic data with clinically relevant phenotypes to improve predictive models of mental health outcomes.
The successful candidate will be required to analyze multi-omic datasets, which include measures of genomic, epigenomic and transcriptomic variation together with paired clinical data. The successful applicant will also collaborate with trainees and fellows to develop appropriate analysis pipelines, while also taking a leadership role on key strategic projects with the group. The successful candidate will be embedded within an international collaborative network with the opportunity to participate in projects based in the US, Canada, the UK, Australia and Vietnam.
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.
Required Skill/Ability 1:
Proven proficiency in preprocessing and normalization of high dimensional datasets.
Required Skill/Ability 2:
Demonstrated critical thinking skills and familiarity with statistics (e.g. statistical distributions, significance tests, basic inference), and ability to apply them to ensure the appropriate statistical test is used for data analyses.
Required Skill/Ability 3:
Demonstrated excellent interpersonal communication and writing skills with the ability to manage and prioritize multiple projects to ensure their quality and on-time delivery.
Required Skill/Ability 4:
Proficiency with high performance computing.
Required Skill/Ability 5:
Excellent programming skills (R or Python).
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.
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:
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