Research Associate 1 (95399BR)

Yale University; New Haven (CT); On-site; USD 60,000 - 85,000; Full time

Job summary

A leading university is seeking a Research Associate 1 to join the Data Mining Lab. The role focuses on leveraging healthcare data through analysis and algorithm development, supporting projects in predictive modeling and clinical natural language processing. Ideal candidates will have a master's degree in relevant fields and programming experience in Python or R.

Qualifications

• Requires strong programming skills in Python and/or R.
• Experience with large datasets and language models preferred.
• Master's degree in a relevant field required.

Responsibilities

• Analyze healthcare data to improve patient care.
• Design and implement data pipelines and algorithms.
• Collaborate with the study team on research projects.

Skills

Programming in Python

Linux

Machine Learning

Deep Learning

Data Analysis

Education

Master's Degree in Data Science

Master's Degree in Computer Science

Master's Degree in Biomedical Informatics

Tools

PyTorch

TensorFlow

Huggingface

Job description

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Bargaining Unit

None - Not included in the union (Yale Union Group)

University Job Title

Research Associate 1, MS

Bargaining Unit

None - Not included in the union (Yale Union Group)

Time Type

Full time

Duration Type

Fixed

If Fixed Duration, Period

1 year from date of hire

If Fixed Duration, is continuation possible?

Yes

Other Fixed Duration Date

30-Jun-2026

Compensation Grade

Clinical & Research

Compensation Grade Profile

Research Associate 1 MS (22)

Wage Ranges

Click here to see our Wage Ranges

Searchable Job Family

Research Res Support, Research/Support

Total # of hours to be worked:

37.5

Work Week

Standard (M-F equal number of hours per day)

Work Location

Medical School Campus

Worksite Address

301 Cedar Street

New Haven, CT 06519

Work Model

On-site

Position Focus

The Data Mining (DM) Lab at Yale University lead by Dr. Samah Fodeh has an opening for a research assistant to participate in a series of projects that focus on leveraging healthcare data to improve patient care. The work spans analysis of structured and unstructured data in the electronic health record (EHR) as well as MyChart data. The position requires strong programming skills and familiarity with large language models (LLMs). The position will support projects focused on clinical natural language processing, predictive modeling, and real-world healthcare applications. The position is open for a driven individual with a master’s degree in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a healthcare data scientist.

Responsibilities will also include participating in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for language processing and deep learning with close collaboration from the study team.

While programming experience with python and/or R is required, experience with one or more of the following skills will be an asset: large tabular data with python/R, applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision, image analysis, and text analysis in Tensorflow or PyTorch, large language models such as Llama and GPT models.

Essential Duties

• Designs, plans, implements and evaluates complex multifaceted research projects/systems, including method development, adaptation and validation. 2. Collaborates with PI to define research endeavors and the development of research hypothesis and approach. 3. Solves complex methodology, protocol, procedural and research problems through design of techniques, procedures and policies that will achieve research goals. 4. Develops long range plans for supplies and equipment to ensure smooth operation of laboratory. 5. Investigates, analyzes and evaluates complex data, data collection systems and methods to reach scientific conclusions and ensures the integrity of research data. 6. Collaborates with PI to coordinate major lab renovations working with Facilities, Health and Safety, and Purchasing to ensure deadlines, safety standards and purchases are according to plans and within budgets. 7. Prepares scientific reports and papers for research proposals and published reports. 8. May perform other duties as assigned.
  
  

Required Education And Experience

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

Required Skill/Ability 1

Demonstrated expertise working with Linux, Python, and Java.

Required Skill/Ability 2

Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models.

Required Skill/Ability 3

Sound background in theoretical and applied machine learning/deep learning with applications to language, signals, or images.

Required Skill/Ability 4

Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.

Required Skill/Ability 5

Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.

Preferred Licenses Or Certifications

Master's Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field;

Drug Screen

No

Health Screening

No

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 Care Worker

This role is a healthcare worker position. Healthcare workers (HCW) are defined as university employees working a healthcare setting who have the potential for direct or indirect exposure to patients, human research subjects or infectious materials including body substance, contaminated medical supplies, devices and equipment, surfaces, or air. HCW have specific health requirements that must be met prior to starting work, including MMR vaccine or immunity, varicella (chickenpox) vaccine or immunity, TB screening, COVID vaccine according to University policy, hepatitis B vaccine or immunity, and annual flu vaccination.

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

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

Yale University is a tobacco-free campus

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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