ZipRecruiter

Log In

1

Contract Biomedical Machine Learning Jobs in Philadelphia, PA

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Project Based Contract Through End of Year with Likely Extension About Us Slalom is a purpose-led ... Own the end-to-end machine learning production lifecycle, including data ingestion, feature ...

Redolent, Inc.

AI/ML Software Engineer

Pennington, NJ · On-site

This is 36 months W2 contract opportunity. Location: Pennigton, NJ Rate: DOE This role is ... Work closely with cross functional teams to build scalable applications, develop machine learning ...

Coty

Demand Intern

Cedar Brook, NJ · On-site +1

$15.25 - $19.75/hr

DEMAND PLANNING INTERN (INTERSHIP CONTRACT) August starting 6 months Coty is one of the world ... the Machine Learning Models to create the best forecast. The team also ensure all New Product ...

Coty

Demand Intern

Cedar Brook, NJ · On-site +1

$15.25 - $19.75/hr

DEMAND PLANNING INTERN (INTERSHIP CONTRACT) August starting 6 months Coty is one of the world ... the Machine Learning Models to create the best forecast. The team also ensure all New Product ...

Jj

Sr Data Scientist Prod AI&ML

Titusville, NJ · On-site

... machine learning (ML), and natural language processing (NLP) methodologies to promote data-driven ... biomedical informatics, epidemiology, applied mathematics, or similar), * 2+ years of industry ...

previous pagenext page

Showing results 21-40

All JobsContract Biomedical Machine Learning JobsContract Biomedical Machine Learning Jobs in Philadelphia, PA

Contract Biomedical Machine Learning information

See Philadelphia, PA salary details

$15

$28

$39

How much do contract biomedical machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract biomedical machine learning in Philadelphia, PA is $28.78, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $32.50 per hour, depending on experience, location, and employer.

What is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

What are popular job titles related to Contract Biomedical Machine Learning jobs in Philadelphia, PA?

For Contract Biomedical Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Contract Biomedical Machine Learning jobs in Philadelphia, PA look for?

The top searched job categories for Contract Biomedical Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Contract Biomedical Machine Learning jobs?

Cities near Philadelphia, PA with the most Contract Biomedical Machine Learning job openings:

Contract Biomedical Machine Learning jobs near you

Assistant Professor (Ophthalmology Research Track)

University of Pennsylvania

Philadelphia, PA • On-site

Full-time

Re-posted 29 days ago

University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

163rd of 620 rated colleges and universities

Job description

Description
The Department of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania seeks outstanding candidates for a full-time Assistant Professor position in the Research Track. This position is intended for individuals with a strong commitment to independent research, with a particular focus on leveraging large-scale healthcare data to advance ophthalmic clinical research and patient care. A PhD, MD, and/or equivalent degree in epidemiology, biostatistics, data science, pharmaceutical sciences, health services research, or a related field is required. Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning methods, and in the analysis of large healthcare datasets (e.g., EHR, claims, or real-world data platforms such as TriNetX). Experience in ophthalmology or vision-related research is preferred but not required.
The selected candidate will develop and lead an innovative, externally funded research program utilizing large-scale data sources, including electronic health records (EHR), administrative health claims, and national or international research networks (e.g., TriNetX and similar platforms), to address critical questions in ophthalmology and vision science.
We are seeking candidates who can demonstrate:
  • A strong record of peer-reviewed publications.
  • Evidence of, or strong potential for, securing independent research funding.
  • Excellent communication and collaboration skills.

Research responsibilities may include:
  • Establish and sustain an independent, high-impact research program in ophthalmology using real-world data sources.
  • Contribute to ophthalmology research through expertise in pharmacoepidemiology, real-world evidence generation, and advanced analytics using EHR and claims data.
  • Lead and support both methodological and applied research, including the development and implementation of analyses integrating artificial intelligence and machine learning to evaluate treatment effectiveness and safety.
  • Design and conduct studies using large-scale datasets, including EHR, claims databases, registries, and federated data networks.
  • Perform and oversee programming and advanced statistical analyses using large, complex datasets.
  • Collaborate with clinical faculty, data scientists, and interdisciplinary teams across the University of Pennsylvania.
  • Contribute to manuscript preparation, publication, and dissemination of research findings in collaboration with project investigators.
  • Secure extramural funding from federal agencies (e.g., NIH), foundations, and industry.
  • Publish findings in high-impact peer-reviewed journals and present at national and international conferences.
  • Mentor and supervise master-level biostatisticians in conducting statistical analyses of large-scale ophthalmic datasets.
  • Mentor trainees, including fellows, residents, and graduate students.

The Department of Ophthalmology provides a highly collaborative and interdisciplinary environment, with access to rich clinical data resources, institutional data warehouses, and established partnerships across the University of Pennsylvania. The selected candidate will have opportunities to engage with leading programs in biomedical informatics, population health, and translational science.

What University Of Pennsylvania employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Pennsylvania logo

About University of Pennsylvania

Sourced by ZipRecruiter

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740

View All University of Pennsylvania Jobs

Apply