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Entry Level Neuroscience Data Scientist Jobs in Rochester, NY

University of Rochester

Neonatologist

Rochester, NY · On-site

$190 - $285/hr

The division's clinical research group includes research coordinators, research nurses, and data ... Science (NCATS)-funded Clinical and Translational Sciences Institute (CTSI). The CTSI provides ...

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Entry Level Neuroscience Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do entry level neuroscience data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level neuroscience data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What is an entry level neuroscience data scientist?

An entry level neuroscience data scientist is a professional who applies data science techniques to analyze and interpret complex data related to neuroscience, such as brain imaging or neural activity data. They typically work with large datasets, use programming languages like Python or R, and employ statistical and machine learning methods to extract insights that advance our understanding of the brain. Entry-level positions usually require a bachelor's or master's degree in neuroscience, data science, computer science, or a related field. These roles often involve collaborating with neuroscientists, clinicians, and engineers to support research or clinical projects.

What are the key skills and qualifications needed to thrive as an entry level neuroscience data scientist, and why are they important?

To thrive as an Entry Level Neuroscience Data Scientist, you need a solid background in neuroscience, statistics, and programming, usually supported by a relevant degree such as neuroscience, computer science, or data science. Familiarity with technical tools like Python, R, MATLAB, machine learning libraries, and neuroimaging software (e.g., FSL or SPM) is typically required. Strong analytical thinking, problem-solving, and effective communication skills will help you interpret complex data and collaborate with cross-functional research teams. These skills and qualities are crucial for extracting meaningful insights from neurological datasets and advancing scientific research.

What are some typical challenges faced by entry level neuroscience data scientists when working with large brain imaging datasets?

Entry level neuroscience data scientists often encounter challenges related to handling and preprocessing large, complex brain imaging datasets, such as MRI or EEG data. These datasets can be noisy, high-dimensional, and require specialized tools for cleaning and analysis. Collaboration with neuroscientists and domain experts is essential to accurately interpret results and ensure that data-driven findings are meaningful in a biological context. Learning to balance computational efficiency, reproducibility, and scientific rigor is a crucial part of the role.

What is the difference between Entry Level Neuroscience Data Scientist vs Entry Level Data Analyst?

AspectEntry Level Neuroscience Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in neuroscience, data science, or related field; knowledge of programming (Python, R); basic statistical skillsBachelor's in statistics, mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsBusiness, marketing, finance, healthcare sectors
Employer & Industry UsageNeuroscience research, biotech firms, pharmaceutical companiesCorporate, consulting, healthcare, retail industries

Entry Level Neuroscience Data Scientists and Entry Level Data Analysts both analyze data, but the former specializes in neuroscience-related datasets and tools, often working in research or biotech settings. Data Analysts typically handle broader business data across various industries. The roles share foundational skills but differ in domain focus and application environment.

What are the most commonly searched types of Neuroscience Data Scientist jobs in Rochester, NY?

The most popular types of Neuroscience Data Scientist jobs in Rochester, NY are:

What are popular job titles related to Entry Level Neuroscience Data Scientist jobs in Rochester, NY?

For Entry Level Neuroscience Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Neuroscience Data Scientist jobs in Rochester, NY look for?

The top searched job categories for Entry Level Neuroscience Data Scientist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Entry Level Neuroscience Data Scientist jobs?

Cities near Rochester, NY with the most Entry Level Neuroscience Data Scientist job openings:

Entry Level Neuroscience Data Scientist jobs near you

Tenure-Track Research Faculty Position (open rank)

University of Rochester

Rochester, NY • On-site

Full-time

Re-posted 22 days ago

University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities

Job description

Description
The Department of Ophthalmology/Flaum Eye Institute (FEI) at the University of Rochester invites applications for an open-rank, tenure-track faculty position. We welcome candidates with a broad interest in studying ocular structure and function in health and disease.
Primary appointment of the new faculty member will reside in the Department of Ophthalmology and Flaum Eye Institute, but there are ready opportunities for secondary appointments in the Center for Visual Science (a university-wide community of >55 faculty engaged in vision research), and other University of Rochester departments (e.g., the Institute of Optics, Neuroscience, Biomedical Engineering, Microbiology and Immunology, Biomedical Genetics, etc.).
The faculty hire will have access to considerable shared resources, both within the department of Ophthalmology (shared confocal microscope, histology laboratory, ophthalmic imaging core, biostatistics) and within the Medical Center. The successful candidate will work with an active program of undergraduate and graduate students through multiple, highly-ranked, degree-granting academic programs across the University of Rochester.
Qualifications
All candidates should hold a PhD, MD, MD PhD or equivalent. An important expectation for this job position is demonstrated research productivity and the ability to attract extramural funding. Depending on qualifications, an appointment will be made at the assistant, associate or full professor level. Preferred candidates will have expertise in advanced physiological optics (e.g., adaptive optics imaging, optical coherence tomography, scanning laser ophthalmoscopy, two-photon imaging, fluorescence lifetime or other ocular imaging modalities) and/or expertise in advanced cellular and molecular biology, such as single-cell and spatial transcriptomics, proteomics, lipidomics and connectomics, as well as stem cell and organoid approaches for studying retinal physiology. Research areas may involve humans, animal models and/or in vitro systems, as well as computational approaches including machine learning and artificial intelligence.
The position will be open until filled, but the application review process will start on July 15th, 2026.
Application Instructions
Applications should be submitted on Interfolio (apply.interfolio.com/162715).
For questions, email Dr. Ruchira Singh (Ruchira_Singh@urmc.rochester.edu) or Dr. Krystel Huxlin (khuxlin@ur.rochester.edu).
The referenced pay range represents the University's good faith and reasonable estimate of the base range of compensation for this faculty position. Individual salaries will be determined within the job's salary range and established based on (but not limited to) market data, experience and expertise of the individual, and with consideration to related position salaries. Alignment of clinical incentive-based compensation may also be applicable and will be discussed during the hiring process.

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