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Remote Data Science Jobs in Durham, NC (NOW HIRING)

IQVIA

Clinical Trial Rater

Durham, NC · Remote

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... Our mission is to combine data science and human expertise to transform healthcare worldwide. We ...

IQVIA

Clinical Trial Rater

Raleigh, NC · Remote

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... Our mission is to combine data science and human expertise to transform healthcare worldwide. We ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or a ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or a ...

Danaher

Principal Clinical Scientist

Raleigh, NC · On-site +1

Advanced degree in Science, Healthcare, or Regulatory/Clinical Affairs. * Professional ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Showing results 41-60

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Durham, NC

Remote Data Science information

See Durham, NC salary details

$22.4K

$99.6K

$190K

How much do remote data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data science in Durham, NC is $99,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,437.00 and $138,119.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

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Infographic showing various Remote Data Science job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $99,579 per year, or $47.9 per hour.

Associate Director of Autonomous Science

NCSU

Raleigh, NC • On-site, Remote

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Lead design and operation of end-to-end autonomous experimentation workflows across SPEED's robotic laboratories.

  • Translate scientific goals into closed-loop systems spanning experimental design, robotic execution, measurement, analysis, interpretation, and AI-guided experiment selection.

  • Serve as scientific leader and primary point of contact for researchers using SPEED's autonomous experimentation capabilities.

North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

464th of 631 rated colleges and universities

Job description

Posting Information
Posting Number PG194818EP Internal Recruitment No Working Title Associate Director of Autonomous Science Anticipated Hiring Range Commensurate with education and experience ($110,000 - $125,000) Work Schedule Monday - Friday, 8am - 5pm (additional work outside of standard hours may be required due to business needs) Job Location Raleigh, NC Department University Interdisciplinary Programs About the Department
The Self-driving Platforms for Expedited Experimental co-Design (SPEED) Programmable Cloud Laboratory is a $20 million National Science Foundation-funded national research infrastructure led by NC State University. Located in Woodson Hall, SPEED will provide academic, government, and industry researchers with remote access to integrated self-driving laboratories for accelerated discovery and development of advanced functional materials and molecules.
SPEED brings together expertise in laboratory automation, artificial intelligence, experimental science, data engineering, cybersecurity, and workforce development. The facility will operate a suite of autonomous experimental platforms through a shared digital infrastructure, enabling users to design, execute, monitor, and analyze experiments remotely. SPEED is supported by collaborators at NC State, UNC-Chapel Hill, MIT, industry partners, and an initial national network of academic users.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
The Associate Director of Autonomous Science will contribute to advancement of the scientific and engineering vision for SPEED's autonomous laboratories, helping transform how experiments are designed, executed, analyzed, and optimized. This is a highly collaborative leadership role at the intersection of science, robotics, artificial intelligence, and advanced laboratory automation.

The Associate Director will coordinate the translation of complex scientific questions into closed-loop autonomous experiments that combine AI-driven planning, robotic experimentation, multimodal characterization, data analysis, and scientific reasoning. Working with SPEED scientists, engineers, researchers, and external users, the position will shape new capabilities, guide high-impact research programs, and ensure that autonomous experiments deliver rigorous, reproducible, and scientifically meaningful results.

Primary Responsibilities:

Autonomous Science and Engineering Leadership
  • Lead design and operation of end-to-end autonomous experimentation workflows across SPEED's robotic laboratories.
  • Translate scientific goals into closed-loop systems spanning experimental design, robotic execution, measurement, analysis, interpretation, and AI-guided experiment selection.
  • Define requirements for integrating synthesis, processing, characterization, optimization, and autonomous decision-making.
  • Advance Bayesian optimization, active learning, machine learning, scientific models, genetic algorithms, and AI agents in physical laboratory systems.
  • Establish standards for controls, validation, uncertainty quantification, reproducibility, metadata, and experimental provenance.
  • Evaluate AI-generated recommendations for scientific validity, feasibility, safety, and alignment with research objectives.
  • Drive improvements in SPEED's reliability, throughput, autonomy, and scientific capabilities.
Scientific Program and User Engagement
  • Serve as scientific leader and primary point of contact for researchers using SPEED's autonomous experimentation capabilities.
  • Translate user questions into defined experimental objectives, strategies, and success criteria.
  • Assess project feasibility and develop experimental plans, autonomous campaigns, analysis strategies, and validation approaches.
  • Partner with researchers and engineers to execute projects, interpret results, and resolve scientific and technical challenges.
  • Lead reviews of experimental results, AI recommendations, uncertainty, emerging hypotheses, and next steps.
  • Develop sustained research partnerships with academic, government, national laboratory, and industry organizations.
Expansion of SPEED Scientific Capabilities
  • Lead development and integration of new autonomous laboratory capabilities, methods, and application areas.
  • Identify opportunities to expand SPEED across chemistry, materials science, catalysis, molecular discovery, formulation, process development, and related fields.
  • Define requirements for robotic platforms, analytical systems, sensors, AI tools, and integrated workflows.
  • Guide new capabilities from concept and prototyping through commissioning, validation, and deployment.
  • Establish benchmarks to evaluate performance, reproducibility, and transferability.
  • Evaluate emerging technologies in laboratory robotics, scientific AI, multimodal characterization, digital twins, agentic systems, and autonomous decision-making.
  • Develop strategies to transfer methods, models, and experimental knowledge across SPEED platforms and partner laboratories.
  • Contribute to strategic planning, equipment investments, partnerships, proposals, publications, and initiatives advancing SPEED's scientific mission.
Research Team Leadership and Technical Coordination
  • Provide scientific direction and mentorship to researchers, platform scientists, and engineering personnel.
  • Coordinate multidisciplinary teams spanning science, robotics, automation, software, data, AI, and facility operations.
  • Set project priorities, milestones, deliverables, and performance expectations.
  • Review experimental plans, autonomous workflows, technical documentation, data products, and scientific conclusions.
  • Lead technical discussions to resolve integration challenges and align scientific and engineering efforts.
  • Establish consistent scientific, software, data, and documentation practices across SPEED platforms.
  • Develop training, workshops, and technical demonstrations for researchers, users, and partners.
  • Represent SPEED at scientific meetings, sponsor reviews, user workshops, advisory activities, and external collaborations.
Other Responsibilities
  • Other tasks and responsibilities may be assigned based on the needs of the organization and evolving priorities.

Qualifications
Minimum Education and Experience
  • PhD in chemical engineering, chemistry, materials science, mechanical engineering, electrical engineering, computer science, robotics, or a closely related scientific or engineering discipline.
  • Five or more years of relevant experience in autonomous experimentation, laboratory automation, robotics, artificial intelligence for science, high-throughput experimentation, or integrated scientific platform development.
Other Required Qualifications
  • Demonstrated experience designing and executing experimental research in chemistry, materials science, molecular science, catalysis, process development, or a related field.
  • Demonstrated experience integrating multiple stages of an experimental workflow, such as synthesis, processing, sample handling, characterization, data analysis, optimization, and experimental decision-making.
  • Experience applying machine learning, Bayesian optimization, active learning, design of experiments, or related computational methods to experimental science.
  • Demonstrated ability to lead multidisciplinary scientific and engineering projects involving researchers, engineers, software developers, and technical staff.
  • Experience mentoring graduate students, postdoctoral researchers, research scientists, or technical personnel.
  • Strong record of scientific problem-solving, experimental design, data interpretation, and technical communication.
  • Ability to translate user-defined scientific questions into executable experimental plans and measurable objectives.
  • Ability to communicate effectively with academic researchers, industry scientists, government partners, students, engineers, and nontechnical stakeholders.
  • Ability to work primarily on site in laboratory and research-facility environments.
Preferred Qualifications
  • Experience developing or operating self-driving laboratories, autonomous research platforms, high-throughput laboratories, or remotely accessible scientific infrastructure.
  • Experience integrating laboratory robotics with artificial intelligence, optimization algorithms, analytical instrumentation, and automated data pipelines.
  • Experience with robotic synthesis, liquid handling, flow chemistry, automated materials processing, high-throughput characterization, or multimodal analytical methods.
  • Experience applying AI agents, large language models, scientific knowledge systems, or automated reasoning tools to experimental research.
  • Familiarity with scientific software development, instrument APIs, workflow orchestration, databases, metadata standards, and experimental provenance.
  • Experience commissioning new scientific equipment or moving experimental platforms from prototype development to routine user operation.
  • Demonstrated record of peer-reviewed publications, scientific presentations, patents, software products, or other research outputs related to autonomous science.
  • Experience developing research proposals, technical roadmaps, facility capability plans, or externally funded multidisciplinary programs.
  • Knowledge of laboratory safety, robotic workcells, remotely operated experiments, hazardous materials, pressure systems, and unattended laboratory operations.
Required License(s) or Certification(s)
  • N/A
Valid NC Driver's License required No Commercial Driver's License required No
Recruitment Dates and Special Instructions
Job Open Date 08/18/2026 Anticipated Close Date Open Until Filled Special Instructions to Applicants
Please include as attachments a resume/CV, cover letter, and contact information for at least 3 professional references.
Position Details
Position Number 00112269 Position Type EPS/SAAO Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.0 Appointment 12 Month Recurring Mandatory Designation - Adverse Weather Non Mandatory - Adverse Weather Mandatory Designation - Emergency Events Non Mandatory - Emergency Event Department ID 230101 - Interdisciplinary Programs - SVP EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment ...

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887

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