Research Associate

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Overview

This is a remote, computationally focused position primarily involving biological data analysis, development and optimization of bioinformatics pipelines, and implementation of AI-based computational tools. The successful candidate will analyze large-scale genomic, transcriptomic, spatial omics, and other biomedical datasets; develop automated and reproducible data processing workflows; and contribute to the development of machine learning and AI-assisted approaches for biological data interpretation.

The candidate will work closely with the principal investigator and research team to support ongoing research projects, develop computational tools, troubleshoot analytical workflows, and contribute to scientific publications and collaborative research activities.

Required Skills and Abilities

• Programming and Computational Skills: Proficiency in Python, R, or other programming languages commonly used in bioinformatics, data science, or computational research. Experience working with Linux environments and computational tools.
• Data Analysis and Bioinformatics: Experience processing, analyzing, and visualizing large-scale biological or biomedical datasets. Ability to perform statistical analyses, interpret computational results, and ensure data quality and reproducibility.
• Computational Pipeline Development: Ability to develop, maintain, and troubleshoot computational scripts and automated data analysis workflows. Familiarity with software development practices, version control, and reproducible research.
• Independent Research and Problem-Solving: Demonstrated ability to independently investigate computational problems, learn new analytical methods, troubleshoot technical challenges, and contribute to research projects.
• Communication and Collaboration: Strong organizational, written, and verbal communication skills. Ability to work independently in a remote environment, manage multiple projects, document analytical procedures, and collaborate effectively with interdisciplinary research teams.

Preferred Skills and Abilities

• Advanced Education: Master's degree or higher in a related scientific discipline with additional training or certifications in relevant fields.
• Single-Cell and Spatial Omics Analysis: Experience analyzing single-cell RNA sequencing, spatial transcriptomics, genomics, epigenomics, proteomics, or other high-throughput omics datasets. Familiarity with tools such as Seurat, Scanpy, or related bioinformatics frameworks.
• AI and Machine Learning: Experience applying machine learning, deep learning, large language models (LLMs), or AI-based approaches to biological or biomedical research. Interest or experience in developing AI agents and automated scientific analysis tools is highly desirable.
• Bioinformatics Workflow Engineering: Experience developing scalable computational pipelines using tools such as Nextflow, Snakemake, Docker, or similar frameworks. Familiarity with high-performance computing, cloud computing, or parallel data processing.
• Software Development and Data Management: Experience with Git/GitHub, databases, APIs, data integration, and development of computational tools or web-based applications for biological data analysis.

Principal Responsibilities

1. Recommends the design and implementation of procedures and protocols under the direction of a higher-level authority. 2. Investigates, analyzes, and reaches preliminary scientific conclusions related to research planning 3. Ensures data results are compiled, analyzed, and presented properly. 4. Analyzes, develops and interprets scientific results. Maintains clear documentation of results. Prepares scientific reports and papers for research proposals and published reports. 5. Performs independent research and laboratory techniques and participates in experimental research planning. 6. Interacts with internal contacts including the PI, research assistants, graduate students, Radiation Safety and Biological Safety officers, and Animal Care personnel to discuss and evaluate research results and to ensure the smooth and safe operation of the laboratory. 7. Interacts with external contacts such as researchers at other institutions, staff at biotechnology and reagents companies to consult on research methods and to keep abreast of product information and developments. 8. May perform other duties as assigned.

Required Education and Experience

Master’s Degree in a scientific discipline and one year experience or an equivalent combination of education and experience.

Job Posting Date

10/14/2026

Job Category

Professional

Bargaining Unit

NON

Compensation Grade

Clinical & Research

Compensation Grade Profile

Research Associate 1 MS (22)

Salary Range

$61,500.00 - $91,875.00

Benefits

A general description of Yale University benefits is available at:

Yale Benefits

Time Type

Part time

Duration Type

Temporary / Casual (Fixed Term)

Work Model

Remote

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.

Health Requirements

Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

Posting Disclaimer

Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.

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 position. Employees will be assigned specific job-related duties through their hiring department.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy 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).

Note

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