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Machine Learning Neuroscience Jobs in Pennsylvania

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Machine Learning Neuroscience information

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$25.6K

$42.7K

$88.2K

How much do machine learning neuroscience jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning neuroscience in Pennsylvania is $42,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

What is a machine learning neuroscience?

A Machine Learning Neuroscience job involves using machine learning techniques to analyze and model neural data, helping to understand brain function or improve neurotechnology. Professionals in this field work at the intersection of artificial intelligence, neuroscience, and data science, often developing algorithms to interpret neural signals or enhance brain-computer interfaces. Roles can be found in academia, healthcare, and tech industries, contributing to research, diagnosis, or neuroadaptive systems. Strong skills in programming, statistics, and neuroscience fundamentals are typically required.

What are the typical daily tasks and team dynamics for someone working in a machine learning neuroscience role?

In a Machine Learning Neuroscience position, your daily activities might include designing and running algorithms on neurological datasets, interpreting results, refining models, and collaborating with neuroscientists and clinicians. You’ll often work closely with cross-functional teams, contributing technical expertise to research studies or healthcare projects. Regular team meetings, data discussions, and collaborative problem-solving are a central part of the work environment. This collaborative structure fosters innovative ideas and ensures that machine learning approaches are well-suited to real-world neuroscience challenges.

What are the key skills and qualifications needed to thrive in the machine learning neuroscience position, and why are they important?

To thrive in a Machine Learning Neuroscience role, you need a solid background in neuroscience, advanced machine learning methods, statistical analysis, and preferably a graduate degree in a related field. Experience using programming languages such as Python or MATLAB, along with tools like TensorFlow, PyTorch, and neuroimaging platforms, is highly desirable. Strong analytical thinking, effective communication, and the ability to work collaboratively across interdisciplinary teams are vital soft skills. These competencies enable professionals to develop impactful models, interpret complex brain data, and drive innovative research or clinical applications in neuroscience.

Is machine learning used in neuroscience?

Machine learning neuroscience involves applying machine learning techniques to analyze neural data, model brain functions, and develop brain-computer interfaces. Professionals in this field use tools like neural networks, deep learning, and statistical models to interpret complex biological signals and advance understanding of the nervous system.

What are the most commonly searched types of Machine Learning Neuroscience jobs in Pennsylvania?

The most popular types of Machine Learning Neuroscience jobs in Pennsylvania are:

What are popular job titles related to Machine Learning Neuroscience jobs in Pennsylvania?

For Machine Learning Neuroscience jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Machine Learning Neuroscience jobs in Pennsylvania look for?

The top searched job categories for Machine Learning Neuroscience jobs in Pennsylvania are:

Machine Learning Neuroscience jobs near you
Infographic showing various Machine Learning Neuroscience job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,686 per year, or $20.5 per hour.

Part Time Research Support - Neuroscience and Experimental Therapeutics

Penn State University

Hershey, PA • On-site

$18/hr

Part-time

Posted 16 days ago

Key responsibilities

  • Assist with organizing, managing, and quality controlling behavioral video datasets and metadata.

  • Support the preparation, preprocessing, annotation, and validation of behavioral video data for analysis.

  • Support implementation, testing, and validation of computational pipelines for video processing and behavioral analysis.

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

237th of 631 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Penn State College of Medicine, Department of Neuroscience and Experimental Therapeutics in Hershey, PA has an opening for a Part Time Research Support position.
The Research Support position provides technical and administrative support for an interdisciplinary research project focused on computational behavioral neuroscience, computer vision, and machine learning analysis of rodent behavior. Under the direction of the Principal Investigators, the Research Support staff member will assist with organizing behavioral datasets, preparing and processing video data, supporting machine learning workflows, conducting literature reviews, maintaining research documentation, and contributing to data analysis and dissemination of research findings.
This position supports the development of computational methods for extracting and analyzing behavioral action sequences from existing rodent behavioral video datasets collected during neuroscience studies. No live animal experimentation is anticipated as part of this project.
SAMPLE WORK ACTIVITIES
  • Assist with the organization, management, and quality control of large behavioral video datasets and associated metadata.
  • Prepare, preprocess, annotate, and validate behavioral video data for computer vision and machine learning analyses.
  • Support implementation and testing of computational pipelines for video processing, object detection, trajectory tracking, and behavioral segmentation.
  • Assist with data collection, organization, statistical summaries, visualization, and interpretation of research findings.
  • Maintain accurate research records, protocols, code documentation, and project documentation.
  • Conduct literature reviews and summarize current research related to behavioral neuroscience, computer vision, artificial intelligence, and machine learning.
  • Assist in evaluating machine learning model performance and validating computational methods across multiple behavioral paradigms.
  • Prepare figures, tables, technical reports, presentations, manuscripts, and grant-related materials.
  • Coordinate project meetings, maintain timelines, and assist with communication among collaborating investigators.
  • Support data management activities to ensure compliance with institutional policies and research best practices.
  • Assist with software testing, debugging, and documentation of computational tools developed for the project.
  • Maintain research computing resources, software installations, and version-controlled repositories as appropriate.
  • Participate in dissemination of research findings through presentations, publications, and external funding proposals.
  • Perform other research-related duties as assigned in support of the project objectives.

PREFERRED QUALIFICATIONS
  • Master's degree in Computer Science, Data Science, Information Systems, Bioinformatics, or a closely related field; or an equivalent combination of education and experience.
  • Experience organizing, analyzing, or managing research data.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in an interdisciplinary research environment.
  • Excellent written and verbal communication skills.

$18/hr
about 22 hours per week for about 8 weeks.
BACKGROUND CHECKS/CLEARANCES
This position requires the following clearances in addition to applicable background checks: PA State Police Criminal Background Check, PA Child Abuse History Clearance Form, and Federal (FBI) Fingerprint Criminal Background Check.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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