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Trainee Quantum Computing information

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$25.5K

$43.5K

$63.5K

How much do trainee quantum computing jobs pay per year?

As of Jun 4, 2026, the average yearly pay for trainee quantum computing in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Trainee Quantum Computing, and why are they important?

To thrive as a Trainee Quantum Computing professional, you need a strong background in physics, mathematics, and computer science, often supported by a relevant degree. Familiarity with quantum programming languages (such as Qiskit or Cirq), simulation tools, and basic coding in Python is typically expected. Analytical thinking, problem-solving, and a willingness to learn emerging technologies are important soft skills for excelling in this rapidly evolving field. These skills ensure the ability to understand complex quantum algorithms, adapt to new advancements, and contribute effectively to research and development projects.

What are some typical projects or tasks assigned to a Trainee Quantum Computing during the initial months on the job?

As a Trainee Quantum Computing professional, you will often start by supporting senior team members with research, coding simple quantum algorithms, and learning to use quantum programming frameworks like Qiskit or Cirq. Early tasks may include running simulations on classical hardware, documenting findings, and assisting with experimental setups. You may also participate in team meetings to discuss recent advancements and collaborate with software engineers, physicists, or mathematicians. This foundational period is designed to help you build both technical and theoretical knowledge before taking on more complex responsibilities.

What are trainee quantum computing roles?

Trainee quantum computing roles are entry-level positions designed for individuals looking to gain hands-on experience in the emerging field of quantum computing. These roles typically involve working under the guidance of experienced professionals to learn about quantum algorithms, programming languages like Qiskit or Cirq, and quantum hardware systems. Trainees often assist with research, software development, and problem-solving tasks related to quantum computing projects. The goal is to build foundational knowledge and skills that can lead to more advanced positions in the industry.

What is the difference between Trainee Quantum Computing vs Quantum Software Developer?

AspectTrainee Quantum ComputingQuantum Software Developer
Required CredentialsBasic knowledge of quantum mechanics, programming, and relevant certificationsAdvanced degree in computer science, physics, or related field; programming skills
Work EnvironmentTraining programs, research labs, internshipsDevelopment teams, tech companies, research institutions
Employer & Industry UsageStartups, research institutions, tech companies focusing on quantum techTech firms, research labs, companies developing quantum algorithms

While a Trainee Quantum Computing is an entry-level role focused on gaining foundational knowledge and skills, a Quantum Software Developer is a more advanced position involving designing and implementing quantum algorithms. Trainees typically undergo training, whereas developers work on real-world projects. Both roles are integral to the quantum industry but differ in experience level and responsibilities.

More about Trainee Quantum Computing jobs
What cities are hiring for Trainee Quantum Computing jobs? Cities with the most Trainee Quantum Computing job openings:
What are the most commonly searched types of Quantum Computing jobs? The most popular types of Quantum Computing jobs are:
What states have the most Trainee Quantum Computing jobs? States with the most job openings for Trainee Quantum Computing jobs include:
What job categories do people searching Trainee Quantum Computing jobs look for? The top searched job categories for Trainee Quantum Computing jobs are:
Trainee Quantum Computing jobs near you
Infographic showing various Trainee Quantum Computing job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 23% Part Time, and 15% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $43,530 per year, or $20.9 per hour.
Academic Rank/Depends on Qualifications

Academic Rank/Depends on Qualifications

University of Nebraska Medical Center

Omaha, NE • On-site

Full-time

Posted 26 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

46th of 992 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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