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Machine Learning Quantum Computing Jobs in Omaha, NE

Varsity Tutors

Linear Algebra Tutor

Omaha, NE · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

GE HealthCare

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... scalable computing solutions across cloud and edge environments. Our Science & Technology ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

... machine learning methods for finding structure in large healthcare data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

... machine learning methods for finding structure in large healthcare data sets. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing ...

Varsity Tutors

Python Tutor

Omaha, NE · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Snapchat

Senior Data Scientist, Level 5

Bellevue, NE · On-site

... dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital ... Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically ...

Varsity Tutors

Statistics Graduate Level Tutor

Omaha, NE · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... Adapts instruction using R or Python statistical computing, research paper examples, and proof ...

Snap, Inc.

Data Scientist, Level 4

Bellevue, NE

... dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital ... Experience using machine learning and statistical analysis for building data-driven product ...

Snapchat

Data Scientist, Level 4

Bellevue, NE

... dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital ... Experience using machine learning and statistical analysis for building data-driven product ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Omaha, NE

Machine Learning Quantum Computing information

See Omaha, NE salary details

$24.4K

$40.7K

$84.2K

How much do machine learning quantum computing jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning quantum computing in Omaha, NE is $40,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in Omaha, NE? For Machine Learning Quantum Computing jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Omaha, NE look for? The top searched job categories for Machine Learning Quantum Computing jobs in Omaha, NE are:
Machine Learning Quantum Computing jobs near you

Academic Rank/Depends on Qualifications

University of Nebraska Medical Center

Omaha, NE

Full-time

Re-posted 6 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

53rd of 1,058 rated hospitals

Job description

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: 2026 - 133 Department COP Pharmaceutical Science 50000722 Business Unit(College/Institute) College of Pharmacy FTE:
100
Reg-Temp Full-Time Regular Work Schedule M-F 8am-4:30pm Requisition Category Faculty Requisition Title Academic Rank/Depends on Qualifications Job Title/Academic Rank Faculty position - Academic Rank DOQ Additional Requisition Title Appointment Type DOQ - DEPENDS ON QUALS Salary Range Salary Commensurate with Experience Job/EEO Category Faculty Job Requisition Begin Date 03/27/2026
Position Qualification
Position Summary
Tenure-leading Faculty Position in the Department of Pharmaceutical Sciences at the University of Nebraska Medical Center
The Department of Pharmaceutical Sciences at the University of Nebraska Medical Center (UNMC) seeks outstanding applicants for a tenure-leading, twelve-month faculty position at the rank of Assistant Professor or Associate Professor. We seek an innovative and collaborative scientist whose research integrates computational approaches to advance any area of the drug discovery process such as medicinal chemistry and chemical biology.

We are seeking candidates who will develop and apply computational approaches to understand, design, and optimize bioactive molecules and chemical probes. Applicants should have demonstrated productivity within their area of expertise and the potential to build a nationally recognized, externally funded research program and contribute to interdisciplinary teaching and training programs in medicinal chemistry and drug discovery.
Candidates must have strong expertise in at least one of the following areas:
  • Use of Artificial intelligence for De-Novo molecular design
  • Machine learning/Neuronal networks to develop novel drug discovery tools
  • Molecular modeling and simulation
  • Theoretical biophysical medicinal chemistry
  • Deep learning-based approaches to advanced molecular design
  • Network Pharmacology
  • Quantum computing
  • Hybrid In Silico/In Vitro Pipelines
  • Work at the interface of medicinal chemistry and computational approaches
Responsibilities
  • Establish and maintain an externally funded, high-impact research program
  • Develop innovative computational and/or hybrid computational-experimental drug discovery methods
  • Teach undergraduate, graduate and professional courses in medicinal chemistry and related areas and develop undergraduate, graduate, and/or professional courses in their area of research expertise.
  • Mentor graduate students, postdoctoral fellows, and professional trainees
  • Contribute to interdisciplinary research and training initiatives
  • Participate in departmental and institutional service

Application requirements
A cover letter describing interest for the position
Current curriculum vitae including a complete list of publications
Concise four-page description of research plans
One-page teaching philosophy
The applicant must provide the names and contact information of at least three references
The documents containing the research plans, teaching philosophy, and references should be uploaded as an "other document".
Applications must be submitted online at: jobs@unmc.edu. Review of applications will begin immediately and will continue until the position is filled. For full consideration, applications should be received by July 15, 2026. Applications will be received and considered until the position is filled. Expected start date is Spring 2027.
Relevant inquiries may be directed to the Chair of the Search Committee, Martin Conda Sheridan, at martin.condasheridan@unmc.edu.
Required Qualifications
  • PhD in Medicinal Chemistry, Computational Chemistry, Chemical Biology, Pharmaceutical Sciences, Chemistry, or a closely related field
  • Postdoctoral training or equivalent
  • Evidence of securing external funding
Strong publication record in peer-reviewed journals

Supplemental Qualifications
  • Experience applying AI/ML methods to molecular or drug discovery problems
  • Expertise in molecular modeling, cheminformatics, or simulation
  • Experience with generative or predictive molecular design methods
  • Integration of computational and experimental medicinal chemistry
  • Collaborative and interdisciplinary research experience
  • Teaching experience in medicinal chemistry or computational chemistry related to drug discovery

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