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Statistics Research Intern Jobs (NOW HIRING)

Research Intern

Bellevue, NE · On-site

$45 - $57/hr

Apply statistical modeling techniques and, where appropriate, machine learning approaches to ... As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects.

Position Description The Clinical Research Intern will support multiple federally funded research ... Performing basic statistical analyses and supporting data visualization for manuscripts and grant ...

Position Description The Clinical Research Intern will support multiple federally funded research ... Performing basic statistical analyses and supporting data visualization for manuscripts and grant ...

Becoming a Research Intern at CIBD means you will gain enriching and diverse experience that will ... Collect and analyze data using statistical tools and software. Prepare comprehensive reports and ...

Becoming a Research Intern at CIBD means you will gain enriching and diverse experience that will ... Collect and analyze data using statistical tools and software. * Prepare comprehensive reports and ...

Research Intern

Seattle, WA · On-site

$21.30 - $30.13/hr

The Research Intern will support ongoing studies in the laboratory of Neelendu Dey focused on the ... Interpret analytical results and assist with statistical analyses, data summaries, figures ...

CLINICAL RESEARCH INTERN

Durham, NC · On-site

$18 - $26.49/hr

As the Clinical Research Intern, you'll be a vital part of a collaborative, interdisciplinary ... Contribute to data analysis with guidance from the PI and statisticians. Scientific & Analytical ...

As the Clinical Research Intern, you'll be a vital part of a collaborative, interdisciplinary ... Contribute to data analysis with guidance from the PI and statisticians. Scientific & Analytical ...

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Statistics Research Intern information

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How much do statistics research intern jobs pay per month?

As of May 31, 2026, the average monthly pay for statistics research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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

To thrive as a Statistics Research Intern, you generally need a solid grounding in statistical theory, data analysis, and a relevant field of study such as mathematics, statistics, or data science. Familiarity with statistical software such as R, Python, SAS, or SPSS is typically required, and coursework or certifications in these tools is advantageous. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and convey findings clearly. These competencies are crucial for producing accurate, insightful research that supports evidence-based decision-making.

What are the typical responsibilities of a Statistics Research Intern and how do they contribute to ongoing projects?

As a Statistics Research Intern, you will typically assist with data collection, cleaning, and analysis under the guidance of senior researchers or statisticians. Your daily tasks may include running statistical models, generating data visualizations, and preparing reports that summarize your findings. Interns often collaborate closely with other team members, such as data scientists and subject matter experts, to interpret results and refine research methodologies. This hands-on experience helps you develop both technical and communication skills, and your contributions play a key role in advancing the team's research objectives.

What does a Statistics Research Intern do?

A Statistics Research Intern assists in analyzing and interpreting data, designing experiments, and applying statistical methods to solve real-world problems. They work under the supervision of experienced statisticians or researchers and may contribute to data cleaning, visualization, and the preparation of reports or presentations. Interns often use statistical software such as R, Python, or SAS to carry out their tasks and may also review relevant literature to support ongoing research projects.
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Research Intern - Translational Molecular Pathology

Research Intern - Translational Molecular Pathology

MD Anderson

Houston, TX • On-site

Other

Posted 17 hours ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

31st of 864 rated healthcare providers


Job description

A research intern position is available in the department of Translational Molecular Pathology. We seek a research intern to develop, implement, and deploy innovative computational pipelines for multimodal pathology data repositories. The research intern will develop cutting edge artificial intelligence (AI) tools in multimodal pathology that spans digital pathology, spatial transcriptomics/proteomics, and language processing.

The research intern will be closely mentored by Dr. Song. The research intern will also collaborate and consult with pathologists and clinicians to address key clinical challenges that will have an impact on our patients.

The University of Texas MD Anderson Cancer Center provides the ideal environment for developing, testing, and deploying AI technologies for improved early cancer diagnosis and accurate treatment selection. The Computational Pathology program is a key focus area of the IDSO and supports the IDSO's mission to drive high-impact discovery research by optimizing multidimensional data integration, analysis, and application. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES Develop impact-driven AI technologies for pathology -Develop and maintain computational methods with AI in multimodal pathology. - Work with a highly interdisciplinary team to generate biologically meaningful results and work towards clinical translation of AI for oncology. - Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines.

- Present results in collaboration meetings, internal and external conferences. ELIGIBILITY REQUIREMENTS Applicant must hold a bachelor's or master's degree Degree must have been obtained recently (within one year) Applicant must have previous research experience Applicants who hold a Ph.D. or equivalent doctoral degree (e.g., M.D., D.V.M., M.B.B.S.) are not eligible Ideal candidates will have a minimum of a bachelor's degree in electrical engineering, Computer Science, Physics, Applied Mathematics, Biomedical Engineering, Statistics, Computational Biology, or related field, with extensive experience in scientific software development/analysis (specifically in Python, image processing and Deep Learning) ADDITIONAL APPLICATION INFORMATION Translational Molecular Pathology Department web site: https://www.mdanderson.org/research/departments-labs-institutes/departments-divisions/translational-molecular-pathology.html Visit Dr

Song's website (https://andrewhsong.com) for more information. POSITION INFORMATION Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening

The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Apply


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