Biostatistician

Position Focus :

The Yale / Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE) is a leading national outcomes research center dedicated to transforming healthcare for the betterment of people and society by leveraging data, analytics, and technology.

We have assembled a talented, multidisciplinary group who are committed to developing solutions to the practical needs of medicine and healthcare.

Our organization combines the highest academic ideals with a pragmatic approach that emphasizes the production of useful knowledge.

We are distinguished by our creativity, dedication, experience, and skills and our commitment to having our work make a tangible difference to patients, the public, and society.

CORE is seeking a Biostatistician to support multiple contract and grant-funded health outcomes projects. Working under the guidance of the Director of Data Management and Analytics, the Biostatistician will provide essential statistical expertise to our research team.

The role involves applying statistical and / or machine learning methods to analyze health outcomes data. Key responsibilities include contributing to the design and analysis of research questions, drafting analytic plans, and preparing manuscripts and technical reports.

The Biostatistician will present and communicate statistical interpretations to a variety of audiences with different technical backgrounds.

Additionally, they will handle data processing, cleaning, analysis, and the documentation and dissemination of findings.

The Biostatistician will work collaboratively with multidisciplinary team members to achieve project goals, ensuring high-quality and reliable analytical outcomes.

Dept / Section URL

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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 demonstrated experience; or equivalent combination of education and demonstrated experience.

Required Skill / Ability 1 :

Demonstrated coursework in generalized linear, generalized linear mixed, survival, and Bayesian models and / or machine learning methods.

Required Skill / Ability 2 :

Knowledge and related and demonstrated work experience utilizing statistical programming (SAS / R / Python) for generalized linear, generalized linear mixed, survival, and Bayesian models and / or machine learning applications.

Required Skill / Ability 3 :

Well-developed analytical, organizational, oral and written communication skills. Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.

Required Skill / Ability 4 :

Ability to work in a multidisciplinary team environment and manage / prioritize multiple projects to ensure their quality and on-time delivery.

Required Skill / Ability 5 :

Ability to be reliable, professional and flexible. Careful, thorough, and at the same time adaptable and innovative in conducting statistical analysis.

Preferred Education, Experience and Skills :

Demonstrated work experience as a statistician for healthcare services or medical field projects. Demonstrated experience with healthcare data, particularly Medicare or other insurance claims data, clinical registry, Electronic Health Records (EHR), or patient reported outcomes for statistical analysis highly preferred.

Weekend Hours Required?

Evening Hours Required?

Drug Screen

Health Screening

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.

COVID-19 Vaccine Requirement

The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies, which may be found here :

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.