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Research Data Processor Jobs (NOW HIRING)

System One

Research Data Scientist

Pittsburgh, PA · On-site

Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours ... Support data infrastructure development for efficient storage, access, and processing * Partner ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours ... Support data infrastructure development for efficient storage, access, and processing * Partner ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours ... Support data infrastructure development for efficient storage, access, and processing * Partner ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: 6-month contract-to ... Support data infrastructure development for efficient storage, access, and processing * Partner ...

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How much do research data processor jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for research data processor in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

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For Research Data Processor jobs, the most frequently searched job titles are:

Research Data Scientist - Urology, Hung Lab

West Hollywood, CA • On-site

Cedars Sinai
Hospitals • 10K+ employees
Learn more about Cedars Sinaiexternal

Full-time

Posted 22 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

Job description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
 

Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
 

Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
 

Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
 

Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
 

Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
 

Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
 

Tests and validates code to ensure robustness of data applications with version control through GitHub.
 

Performs all other duties as assigned.

Education:

Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required. 
 

Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:

2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
 

2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
 

2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
 

No experience required Experience in biomedical machine learning is preferred

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