Data Scientist

Company: Yale University
Location: New Haven
Posted on: November 15, 2023

Job Description:

Essential Duties

Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.

Required Education and Experience

Master's Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of experience or an 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 mission of the Yale Institutional Biorepository Program is to establish a centralized biorepository with a high quantity and quality of human biospecimens and associated databases to advance future biomedical research, accelerate discoveries, and improve treatments for patients. The program is seeking highly motivated and experienced Data Scientists with a strong background in data analytics and statistics. Successful candidates will have the opportunity to work in a multidisciplinary environment, help researchers with data integration and management, and develop pipelines to empower data analysis throughout the entire scientific and translational research process within the Biorepository and the Yale research community. The applicant will also have the opportunity to present/publish the results in scientific conferences/journals, interact with world-class scientists, design, and execute analysis independently and collaboratively with other scientists. A strong interest in learning new programming languages and environments, tools, basic biology, etc., is a must.

Responsibilities: Collect, manage, and govern different types of data, such as clinical and genomic data, from various sources and integrate these interoperable data into an all-in-one system, making them readily available to the broader research community. Conduct routine data quality and consistency checks and resolution of data discrepancies. Work with other scientists to develop and apply statistically rigorous solutions for study design, data analysis, and information mining of "omics" and other biological data for the discovery of clinically actionable biomarkers, integration of these data with clinical information, and translation of genomic discoveries to the bedside to accelerate precision medicine. Work with the bioinformatics and software engineer team to design, build, and operate software platforms and infrastructure for managing, distribution, and scalable data analysis in the repository. Assist in preparation of grant proposals, participate in publications and presentations as author or co-author.

NOTE: This job description is not intended to provide a comprehensive or exclusive list of job duties. Job duties and/or responsibilities within the context of this job description may change at the discretion of the employee's direct supervisor.

Preferred Education, Experience and Skills:

Familiar with collecting clinical data and imaging from different medical databases and resources. Experience with machine learning and deep learning for predictive statistics and outcomes. Familiar with data visualization using Tableau and other data visualization platforms. Experience in mentoring and advising trainees.

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 2:

Proficient in data collection, cleaning, formatting, visualization, analysis, and reporting. Demonstrated ability in programming/coding using Python, R, and SQL.

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:
https://covid19.yale.edu/health-guidelines

Keywords: Yale University, New Haven , Data Scientist, Other , New Haven, Connecticut