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Phd Data Scientist Jobs in Rio Rancho, NM (NOW HIRING)

IonQ

Senior Quantum Scientist

Albuquerque, NM · On-site +1

Location: This role is based at our Boulder, CO office or Albuquerque, NM with the option to work a few days a week remotely. Travel: Up to 5% Job ID: 1777 The Role: We are pioneering advancements in

IonQ

Senior Quantum Scientist

Albuquerque, NM · On-site

$126K - $181K/yr

About IonQ: IonQ, Inc. [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's

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Phd Data Scientist information

See Rio Rancho, NM salary details

$43.3K

$155.2K

$229K

How much do phd data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for phd data scientist in Rio Rancho, NM is $155,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $159,900.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What are the key skills and qualifications needed to thrive as a PhD data scientist?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are popular job titles related to Phd Data Scientist jobs in Rio Rancho, NM?

For Phd Data Scientist jobs in Rio Rancho, NM, the most frequently searched job titles are:

What job categories do people searching Phd Data Scientist jobs in Rio Rancho, NM look for?

The top searched job categories for Phd Data Scientist jobs in Rio Rancho, NM are:

What cities near Rio Rancho, NM are hiring for Phd Data Scientist jobs?

Cities near Rio Rancho, NM with the most Phd Data Scientist job openings:

Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $155,217 per year, or $74.6 per hour.

Senior Quantum Scientist

Albuquerque, NM • On-site, Remote

IonQ
IT Services • 51 - 200 employees
Learn more about IonQexternal

Full-time

Re-posted 2 hours ago

Job description

Location: This role is based at our Boulder, CO office or Albuquerque, NM with the option to work a few days a week remotely.
Travel: Up to 5%
Job ID: 1777

The Role: 

We are pioneering advancements in quantum computing by utilizing trapped ion technology and our proprietary laser-free quantum control methods. Our research and development efforts build on our fully integrated quantum processors that can be fabricated within standard silicon foundries. This unique approach allows us to leverage the highest-performing qubit technology while ensuring scalability and manufacturability using existing semiconductor fabrication technology. We approach quantum computing with a focus on minimizing errors, striving to achieve ultra-low gate errors at scale. Our immediate objective is to develop functional quantum computers within the NISQ regime, aiming to construct fault-tolerant machines that require minimal QEC overhead. Our recent breakthroughs include achieving 99.97% fidelity in two-qubit gates and 99.9992% fidelity in single-qubit operations without error correction, setting new industry standards for performance.

Responsibilities:

As a Quantum Scientist, you will be at the forefront of our research efforts, working hands-on with our current hardware while helping to shape future generations of quantum processors. Your work will span designing, debugging, and executing experiments, developing novel control schemes, and pushing the boundaries of system performance.

You will:

  • Prototype and characterize coherent control and cooling schemes for trapped-ion qubits using laser and microwave fields.
  • Calibrate and benchmark quantum systems, focusing on achieving ultra-low gate errors and optimizing performance across device modules.
  • Validate emerging trap technologies, including integrated electronics and photonics for large-scale architectures.
  • Analyze experimental data, debug complex hardware/software interactions, and ensure reliability of qubit operations.
  • Present results internally and externally, representing Oxford Ionics at conferences and in collaborations.

Requirements:

You will need a PhD in physics or a related discipline, with a strong foundation in atomic or qubit-related physics. While prior postdoctoral or industry experience is valuable, this role is also open to candidates moving directly from a PhD. A solid background in quantum control, with hands-on experience in calibration, benchmarking, or coherent control of qubits, will be key to success. Practical skills in control software, hardware integration, or experimental data analysis are also important.

You will need:

  • Proven expertise in experimental AMO physics or quantum computing.  Experience with trapped ions is preferred.
  • Strong collaborative skills, with the ability to work independently and as part of a fast-moving team
  • Prior experience in one or more of the following: spectroscopy or simulation of multi-level systems, characterization of control hardware, gate fidelity benchmarking or running algorithms on hardware
  • Strong proficiency in programming and data analysis.
  • A track record of scientific communication through publications, talks and conferences.


The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

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