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Data Science Research Assistant Remote Jobs in Raleigh, NC

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable

CEDENT

Director of Preclinical Research

Durham, NC · On-site +1

The Client is seeking an experienced and high-agency individual to support the development of new treatments for Client, a rare bone cancer with no approved drug therapies. To date, we've developed a

IQVIA

Lead Clinical Data Manager (Remote)

Durham, NC · Remote

$68K - $217K/yr

IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume

IQVIA

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68K - $217K/yr

IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume

IQVIA

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68K - $217K/yr

IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume

IQVIA, Inc.

Lead Clinical Data Manager (Remote)

Durham, NC · On-site +1

$68K - $217K/yr

IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume

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All JobsData Science Research Assistant Remote JobsData Science Research Assistant Remote Jobs in Raleigh, NC

Data Science Research Assistant Remote information

See Raleigh, NC salary details

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How much do data science research assistant remote jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data science research assistant remote in Raleigh, NC is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $24.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Research Assistant (Remote), and why are they important?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote Data Science Research Assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

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

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are Data Science Research Assistants (Remote)?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.
What are popular job titles related to Data Science Research Assistant Remote jobs in Raleigh, NC? For Data Science Research Assistant Remote jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant Remote jobs in Raleigh, NC look for? The top searched job categories for Data Science Research Assistant Remote jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Research Assistant Remote jobs? Cities near Raleigh, NC with the most Data Science Research Assistant Remote job openings:
Data Science Research Assistant Remote jobs near you
Data Scientist

Data Scientist

Elder Research

Raleigh, NC • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist

General Information

Requisition # 694

Locations USA-VA-Arlington OR USA-NC-Raleigh

Posting Date 05/08/2026

Security Clearance Required - NONE

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities include but are not limited to:

  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:

  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:

  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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