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Volunteer Machine Learning Jobs in Raleigh, NC (NOW HIRING)

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

Strong research background in computer vision or machine learning model development * Experience in ... S. Winter Wellness Break between December 25 and January 1. * Volunteer Time Off, parental leave ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

Strong research background in computer vision or machine learning model development * Experience in ... S. Winter Wellness Break between December 25 and January 1. * Volunteer Time Off, parental leave ...

Marpai Administrators LLC

Stoploss Coordinator

Cary, NC · Remote

$50K - $80K/yr

... learning and machine learning to maximize population health outcomes with the greatest cost ... STD/LTD * Voluntary Benefits: Critical Illness, Accident, Hospital * 401k with Employer Match

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

This role focuses on defining what to build and why-leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/yr

This role focuses on defining what to build and why -leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

RELX

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/yr

This role focuses on defining what to build and why -leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

This role focuses on defining what to build and why-leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

This role focuses on defining what to build and why--leveraging machine learning, NLP, and large ... Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with ...

Marpai Administrators LLC

Account Manager

Cary, NC · Remote

$65K - $85K/yr

... learning and machine learning to maximize population health outcomes with the greatest cost ... STD/LTD * Voluntary Benefits: Critical Illness, Accident, Hospital * 401k with Employer Match

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All JobsVolunteer Machine Learning JobsVolunteer Machine Learning Jobs in Raleigh, NC

Volunteer Machine Learning information

See Raleigh, NC salary details

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How much do volunteer machine learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for volunteer machine learning in Raleigh, NC is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Volunteer Machine Learning position, and why are they important?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a Volunteer Machine Learning job?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Raleigh, NC? The most popular types of Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Volunteer Machine Learning jobs in Raleigh, NC? For Volunteer Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Volunteer Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Volunteer Machine Learning jobs? Cities near Raleigh, NC with the most Volunteer Machine Learning job openings:
Volunteer Machine Learning jobs near you
Infographic showing various Volunteer Machine Learning job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $38,693 per year, or $18.6 per hour.

Principal Statistical Methodologist, Raleigh, NC

UCB

Raleigh, NC • On-site

Full-time

Posted 8 days ago

Job description

Make your mark for patients
We are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in any of our Braine l'Alleud (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.
About the role
You will help shape how evidence is generated, modeled, and communicated across the drug development lifecycle, bringing modern computational and machine-learning methods to bear on real R&D decisions. You will develop and apply advanced data-driven and model-based approaches-drawing on statistics, machine learning, and AI-translate them into robust, reusable tools, and partner across functions to put them to work where they impact drug development decision making. You will also contribute to the group's scientific profile through publications and external collaboration.
Who you will work with
You will be working in a team that provides statistical consultancy across therapy areas and development stages, partnering closely with colleagues in clinical development, regulatory strategy, data science, and medical affairs. The team values curiosity and problem solving, practical innovation, clear communication, and collaboration, bringing novel quantitative and computational approaches into real study decisions and sharing learnings with the wider scientific community.
What you will do
  • Develop and apply advanced computational and statistical methods, including machine learning, AI, and scenario evaluation using modern simulation approaches, to inform design, analysis, and decision-making across development.
  • Build robust, well-engineered, reusable tools and workflows that bring these methods into routine use, with attention to reproducibility and software quality.
  • Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches.
  • Partner with statisticians and cross-functional colleagues to identify where computational and data-driven methods add the most leverage, and translate complex approaches into clear insight for technical and non-technical audiences.
  • Contribute to internal capability building by sharing tools, code, and methods across the team and wider organization.
  • Contribute to the group's external profile through scientific publications, conference presentations, and participation in cross-industry initiatives and working groups.

Interested? Here is what we are looking for
  • Doctoral degree in statistics, biostatistics, mathematics, computer science with a strong quantitative/statistical component, or a closely related discipline with a solid grounding in statistical inference and uncertainty.
  • 3+ years of experience within the pharmaceutical industry. Experience in advanced computational methodology for clinical development (early to late stage) is an advantage. Direct entry may be considered.
  • Strong, multi-language scientific programming skills (R and Python preferred; software-engineering practices such as version control, testing, and reproducible workflows a clear advantage).
  • Demonstrated expertise in machine learning and/or AI methods, with hands-on experience applying them to real problems; experience with large language models, causal inference, synthetic data, or digital-twin/simulation approaches is a strong advantage.
  • Sound knowledge of ICH guidelines and understanding of regulatory requirements from major health authorities.
  • Ability to work effectively with autonomy, manage multiple priorities, and deliver timely, high-quality outputs.
  • Clear written and spoken communication in English, including the ability to explain technical concepts to non-technical audiences.

Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities.
Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Requisition ID: 93650
Recruiter: Kevin Ross
Hiring Manager: Baldur Magnusson
Talent Partner: Natacha Tassier
Job Level: MM II
Please consult HRAnswers for more information on job levels.

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