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Quantum Computing Engineer Remote Jobs in New Haven, CT

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

New Haven, CT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Quantum Computing Engineer Remote information

See New Haven, CT salary details

$54.8K

$113.1K

$159.9K

How much do quantum computing engineer remote jobs pay per year?

As of Aug 20, 2026, the average yearly pay for quantum computing engineer remote in New Haven, CT is $113,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $124,700.00 per year, depending on experience, location, and employer.

What does a quantum computing engineer do when working remotely?

A Quantum Computing Engineer working remotely designs, develops, and tests algorithms and software that leverage quantum computers, often collaborating with teams using virtual tools. They may focus on quantum programming, error correction, or integrating quantum solutions with classical systems. Remote engineers access quantum hardware through cloud-based platforms, participate in research, and stay current with advancements in quantum technology. Effective communication and self-management skills are essential for success in this remote role.

What are the key skills and qualifications needed to thrive as a quantum computing engineer remote?

A Quantum Computing Engineer requires strong knowledge in quantum mechanics, computer science, and mathematics, often supported by a degree in physics, engineering, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are typically necessary, and certifications in quantum computing can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These competencies enable engineers to develop innovative quantum algorithms, collaborate efficiently, and drive advancements in this rapidly evolving field.

What are the typical collaboration dynamics for a remote quantum computing engineer, and how do teams coordinate on complex projects?

As a remote Quantum Computing Engineer, you’ll typically work as part of a multidisciplinary team that may include physicists, software developers, and hardware engineers. Collaboration often relies on version control systems, virtual meetings, and shared documentation platforms to coordinate complex research and development tasks. Regular syncs, code reviews, and agile methodologies are commonly used to ensure everyone stays aligned despite geographic distances. Effective communication and a proactive approach to problem-solving are key, as much of the work involves iterative testing and collective troubleshooting. This structure allows for both deep individual focus and consistent team progress on groundbreaking projects.

What is the difference between Quantum Computing Engineer Remote vs Quantum Software Developer?

AspectQuantum Computing Engineer RemoteQuantum Software Developer
Required CredentialsBachelor's or Master's in Physics, Computer Science, or related field; knowledge of quantum algorithmsBachelor's or Master's in Computer Science or related; programming skills in quantum languages
Work EnvironmentRemote, often collaborative with research teams or tech companiesRemote or on-site, focused on developing and testing quantum software
Employer & Industry UsageTech companies, research labs, startups in quantum techSoftware firms, tech companies, research institutions

While both roles involve quantum computing, Quantum Computing Engineers Remote focus on designing and developing quantum hardware and algorithms, whereas Quantum Software Developers primarily create software applications and simulations. Both roles often require similar educational backgrounds and can be performed remotely, but their core responsibilities differ in hardware versus software development within the quantum industry.

What are the most commonly searched types of Quantum Computing Engineer jobs in New Haven, CT?

The most popular types of Quantum Computing Engineer jobs in New Haven, CT are:

What job categories do people searching Quantum Computing Engineer Remote jobs in New Haven, CT look for?

The top searched job categories for Quantum Computing Engineer Remote jobs in New Haven, CT are:

Infographic showing various Quantum Computing Engineer Remote job openings in New Haven, CT as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $113,073 per year, or $54.4 per hour.

Senior Manager, Statistical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted yesterday

New


Job description

Contact: Lauren Scutero -
No 3rd party candidates
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.

This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in establishing SOPs and programming standards, and modernizing statistical reporting with open-source tools.


Essential Duties and Responsibilities

Key Project Responsibilities:

  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM, and TLF for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:

  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.


Qualifications and Preferred Skills

Education:

  • Master’s degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:

  • Minimum of 6 years of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.