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Entry Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Science 37

Site Operations Specialist

Morrisville, NC

This role is also responsible for data entry and ensuring accurate tracking and filing of essential ... Represents Science 37 in a professional manner; establishes and maintains good relationships with ...

Science 37

Site Operations Specialist

Morrisville, NC · On-site

This role is also responsible for data entry and ensuring accurate tracking and filing of essential ... Represents Science 37 in a professional manner; establishes and maintains good relationships with ...

IQVIA

Clinical Research Coordinator

Raleigh, NC · Remote

$35 - $42/hr

  • Medical

  • Life

... science, or related field, or an equivalent combination of education and relevant experience. * Experience utilizing CRIO (Clinical Research IO) to review and receive source data prior to EDC entry.

Datavant

CPC Processor Customer Support

Raleigh, NC · On-site

... sciences companies. From fulfilling a single patient's request for their medical records to ... Data Entry, Medical Records, Health Care, Insurance Claims Processing and Proof Reading/Editing of ...

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Showing results 21-40

All JobsEntry Data Scientist JobsEntry Data Scientist Jobs in Raleigh, NC

Entry Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do entry data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

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

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

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

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

Can I get an entry data scientist job with no experience?

Entry data scientist roles typically require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, internships, or strong analytical skills can sometimes qualify for entry-level positions. Building a portfolio of projects and obtaining certifications can improve chances of securing such roles without formal work experience.

How to start a career in data science with no experience?

Entry data scientists can begin by building foundational skills in programming languages like Python or R, and learning data analysis and visualization tools such as SQL and Tableau. Gaining hands-on experience through online courses, tutorials, and personal projects helps demonstrate competence to employers. Earning certifications like those from Coursera or edX can also enhance credibility and improve job prospects.

What are popular job titles related to Entry Data Scientist jobs in Raleigh, NC?

For Entry Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Data Scientist jobs in Raleigh, NC look for?

The top searched job categories for Entry Data Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Data Scientist jobs?

Cities near Raleigh, NC with the most Entry Data Scientist job openings:

Entry Data Scientist jobs near you
Infographic showing various Entry Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Principal Statistical Methodologist, Raleigh, NC

UCB

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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: Kelly Dickinson
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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