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Data Science Entry Level Remote Jobs in Nebraska

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are popular job titles related to Data Science Entry Level Remote jobs in Nebraska? For Data Science Entry Level Remote jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Nebraska look for? The top searched job categories for Data Science Entry Level Remote jobs in Nebraska are:
Infographic showing various Data Science Entry Level Remote job openings in Nebraska as of May 2026, with employment types broken down into 65% Full Time, 25% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.
Research Imaging Analyst

Research Imaging Analyst

University of Nebraska Medical Center

Omaha, NE • On-site, Remote

$49K - $73K/yr

Full-time

Posted 24 days ago


University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 995 rated hospitals


Job description

Requisition Details
GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location
Omaha, NE
Requisition Number:
Staff_14225
Department
Neurological Sciences 50001975
Business Unit
College of Medicine
Reg-Temp
Full-Time Regular
Work Schedule
As directed by supervisor
Remote/Telecommuting
No remote/telecommuting opportunity
Position Summary
The position will work at Dr. WANG's Lab in the Department of Neurological Sciences, with the principal investigator and research team to coordinate, develop, and conduct clinical research projects aimed at improving patient health, disease treatment, and quality of life in individuals who are aging or have neurological, psychiatric, physiologic, or other medical disorders. They will assist with clinical research projects from start to finish to support successful communication, coordination, regulatory and protocol compliance, and work across a diverse, multidisciplinary team to meet project goals. The position will be independent, responsible, accountable, self-motivated, a strong and adept communicator, and able to complete detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in medical imaging processing.
Position Details
Additional Information
Posting Category
Research - Non Academic
Working Title
Research Imaging Analyst
Job Title
Research/Ag Specialist
Salary Grade
RA21S
Appointment Type
B1 - REG MGR PROF SALARY
Salary Range
$49,000 - $73,500/annual
Job Requisition Begin Date
12/16/2025
Application Review Date
12/23/2025
Review Date Information:
Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.
Required and Preferred Qualifications
Required Education:
Bachelor's degree or equivalent
If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)
Scientific or related field
(Will consider six years related education and experience combined of which two years must include related post high school education)
Required Experience
2 years
If any experience is required, please specify what kind of experience:
Experience related to healthcare, laboratory and/or clinical research
(Will consider six years related education and experience combined of which two years must include related post high school education)
Required License
No
If yes, what is the required licensure/certification?
Required Computer Applications:
Microsoft Word
Required Other Computer Applications:
Microsoft Office
Required Additional Knowledge, Skills and Abilities:
  1. Highly proficient in medical imaging toolboxes/software including FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d, SurfStat, NODDI, GIFT, CONN, GRETNA, SPSS, etc.
  2. Data management and /or data analysis in medical area.

Preferred Education:
If any degree/training is preferred, please specify the type:
Preferred Experience:
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent verbal and written communication skills.

Preferred License:
No
If yes, what is the preferred licensure/certification?:
Preferred Computer Applications:
Preferred Other Computer Applications:
Preferred Additional Knowledge, Skills and Abilities:
  1. Experience in deep learning, machine learning and medical imaging processing
  2. Programming experience: Python, MATLAB, SPSS, Shell.
  3. Experience in working with Linux workstation.

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https://unmc.peopleadmin.com/postings/94488

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