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Statistics Data Science Jobs in Raleigh, NC (NOW HIRING)

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology. * 6 months or more experience (academic ...

Labcorp

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology. * 6 months or more experience (academic ...

Sedgwick

Principal Data Scientist

Raleigh, NC · On-site

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline. * 8-12+ years of experience in data science, statistical modeling, or ...

Truist

Data Scientist II

Raleigh, NC · On-site

... statistical and predictive analytics, machine learning modeling, etc.) to provide actionable ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus. * 10+ years of progressive experience in data science, machine learning, or AI ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus. * 10+ years of progressive experience in data science, machine learning, or AI ...

Siemens

Principal Data Scientist

Raleigh, NC · On-site

$122K - $210K/yr

Advanced degree (PhD or MS) in computer science, statistics, machine learning, operations research, applied mathematics, engineering, or a related quantitative field. * 10+ years of experience in ...

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred. * Programming: 5+ years experience with Python (pandas, PySpark ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred. * Programming: 5+ years experience with Python (pandas, PySpark ...

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

Work you'll do/Responsibilities Perform analytics using data science techniques; work with the ... Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social ...

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All JobsStatistics Data Science JobsStatistics Data Science Jobs in Raleigh, NC

Statistics Data Science information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do statistics data science jobs pay per year?

As of Jul 6, 2026, the average yearly pay for statistics data science 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.

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

What are the key skills and qualifications needed to thrive as a Statistics Data Scientist, and why are they important?

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
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Statistics Data Science jobs near you
Clinical Data Scientist (Data Analyst Level 3 Digital Measures)

Clinical Data Scientist (Data Analyst Level 3 Digital Measures)

Alphanumeric

Durham, NC • On-site

$80 - $97/hr

Contractor

Posted 7 days ago

Job description

Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Research Triangle Park, NC (Hybrid)

Alphanumeric is hiring a Clinical Data Scientist - Data Analyst Level 3 (Digital Measures) to support our client, a global pharmaceutical leader we've proudly partnered with for over 20 years. This is an exciting opportunity to work at the intersection of clinical research, data science, and digital health, helping transform wearable and sensor-generated data into meaningful clinical insights that support innovative therapies and improve patient outcomes.


Pay Range: $80.00 - $97.00/hour (W2)
Location: Research Triangle Park, NC area (Hybrid)
Employment Type: W2 Contract
Please Note: No third-party agencies. Sponsorship is not available for this position.

About the Role

As a Clinical Data Scientist supporting the Digital Measures team, you'll analyze complex clinical and sensor-derived datasets to help validate digital endpoints used in clinical trials. You'll develop reproducible analytical workflows, generate actionable insights, and collaborate with multidisciplinary teams to advance innovative measurement strategies that support drug development.

This role is ideal for someone who enjoys combining clinical data, programming, statistical analysis, and data visualization to solve complex healthcare challenges.

What You'll Do
  • Prepare, clean, and analyze digital biomarker and sensor-derived datasets for clinical research
  • Develop reproducible analytical workflows, including data cleaning, transformation, quality control, and documentation
  • Perform exploratory and statistical analyses to evaluate digital measures, including reliability, sensitivity to change, and other validation metrics
  • Integrate wearable and sensor data with clinical and patient-reported outcome (PRO) datasets
  • Create meaningful data visualizations, dashboards, and analytical summaries for scientific and business stakeholders
  • Document analytical methodologies to support regulatory expectations and internal governance
  • Partner with Digital Measures, Clinical Study, Data Engineering, and Patient-Centered Outcomes teams to support digital endpoint development
  • Ensure data integrity, reproducibility, and high-quality analytical deliverables throughout the project lifecycle

Required Qualifications
  • Master's, or PhD in Data Science, Statistics, Biostatistics, Computer Science, Biomedical Engineering, or a related quantitative field
  • Strong experience in data science, analytics, biostatistics, or clinical data analysis
  • Experience working with longitudinal, clinical, or healthcare datasets
  • Strong programming skills in Python and/or R
  • Experience creating data visualizations and communicating analytical findings to technical and non-technical audiences
  • Strong understanding of data quality, reproducible research practices, and documentation standards
  • Excellent analytical, problem-solving, and collaboration skills
Preferred Qualifications
  • Experience with Databricks
  • Experience working with digital health technologies, wearable devices, or sensor-derived data
  • Clinical trial or pharmaceutical industry experience
  • Understanding of digital endpoint development and measurement validation concepts such as reliability, validity, and responsiveness
  • Familiarity with regulatory expectations related to endpoint development and clinical evidence generation
What Success Looks Like

In this role, you'll contribute by:

  • Delivering high-quality, analysis-ready datasets on schedule
  • Building robust, reproducible analytical pipelines
  • Producing clear, actionable insights that support scientific decision-making
  • Advancing evidence generation for innovative digital endpoints used in clinical research
Why Join Alphanumeric?

For more than 20 years, Alphanumeric has partnered with one of the world's leading pharmaceutical organizations to provide exceptional talent supporting groundbreaking research and development. You'll work alongside experts who are shaping the future of medicine while gaining experience with cutting-edge digital health technologies and advanced clinical analytics.

If you're passionate about applying data science to improve patient outcomes and accelerate clinical innovation, we'd love to hear from you. Apply today!

Education:Employment Type: CONTRACTOR

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