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Part Time Data Scientist Remote Jobs in Raleigh, NC

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 ...

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 ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

On-site Schedule: 24 hours per week (Part-Time) About IQVIA IQVIA is a global leader in advanced ... By combining deep scientific expertise with advanced technology, we help transform clinical ...

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Showing results 1-20

Part Time Data Scientist Remote information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do part time data scientist remote jobs pay per year?

As of Aug 26, 2026, the average yearly pay for part time data scientist remote in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a part time data scientist remote?

A Part Time Data Scientist (Remote) is a professional who analyzes and interprets complex data to help organizations make informed decisions, but works fewer hours than a full-time employee and does so from a location outside the traditional office. Their responsibilities often include building data models, generating reports, and collaborating with teams virtually. This role is ideal for individuals seeking flexibility in their schedule or balancing other commitments, while still applying their analytical skills in a professional setting.

What are the key skills and qualifications needed to thrive as a part time data scientist remote?

To thrive as a Part Time Data Scientist (Remote), you need a strong background in statistics, data analysis, and programming (commonly in Python or R), often supported by a degree in a quantitative field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms is typically required, along with experience using SQL and version control systems like Git. Excellent problem-solving skills, self-motivation, and clear communication are vital soft skills for collaborating across distributed teams and managing projects independently. These competencies ensure accurate insights, efficient remote workflows, and impactful contributions to data-driven decision making.

How does working as a part time remote data scientist typically impact collaboration and communication with the rest of the team?

As a part-time remote data scientist, effective collaboration often relies on clear communication and proactive engagement with both technical and non-technical team members. You'll likely use project management tools, version control systems, and regular virtual meetings to stay aligned with full-time colleagues and stakeholders. Flexibility in scheduling and clear documentation of your work are key, as team members may be in different time zones or working hours. Building strong relationships through regular updates and responsiveness can help ensure your contributions are well-integrated, despite the part-time and remote nature of the role.

What is the difference between Part Time Data Scientist Remote vs Part Time Data Analyst Remote?

AspectPart Time Data Scientist RemotePart Time Data Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some programming experienceBachelor's in Data Analysis, Statistics, or related field; basic analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, project-based
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding role differences, qualifications, and remote work optionsUnderstanding role scope, skills needed, and remote opportunities

Part Time Data Scientist Remote roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical credentials. Part Time Data Analyst Remote positions typically involve data cleaning, reporting, and basic analysis. Both roles are remote and flexible but differ in complexity and skill requirements.

What are the most commonly searched types of Data Scientist Remote jobs in Raleigh, NC?

The most popular types of Data Scientist Remote jobs in Raleigh, NC are:

Infographic showing various Part Time Data Scientist Remote job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Associate Director of Autonomous Science

NCSU

Raleigh, NC • On-site, Remote

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

463rd of 623 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