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Sas R Python Internship Jobs (NOW HIRING)

Excel, Tableau, R, Python, Tableau, PowerBI) * Independently write programs in appropriate language (e.g. R, SQL, SPSS, SAS), to develop data (sets) needed to support deliverables. * Produce written ...

Conduct rigorous data validation and quality assessments using statistical techniques and tools like R, Python, or SAS to support compliance and audit readiness. * Develop, document, and enforce ...

Biostatistician II

Newton, MA · On-site

$106.40K - $139.30K/yr

Must have 6 months of experience in each of the following: (1) Programming in SAS, R, Python, and MATLAB; (2) Leading projects in biomedical research, including leading the development and execution ...

Experience in SQL, SAS, Tableau, R, python and similar tools preferred Minimum Education: * The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree ...

Java, Python, R, or related languages * 1-3+ years' experience manipulating large datasets and using databases (e.g. SAS, R, SQL, S-Plus, etc.) * 1-3+ years' experience with a general-purpose ...

Model Risk Review Specialist

Westwood, MA · On-site +1

$125.11K - $161K/yr

... R, Python, SAS, or related statistical tools. May mentor and supervise junior colleagues as needed. Position may be eligible for flexible work arrangement that combines in-office and work from home.

Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience in a related field Experience with Kaiser ...

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How much do sas r python internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for sas r python internship in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What cities are hiring for Sas R Python Internship jobs? Cities with the most Sas R Python Internship job openings:
What are the most commonly searched types of Sas R Python jobs? The most popular types of Sas R Python jobs are:
What states have the most Sas R Python Internship jobs? States with the most job openings for Sas R Python Internship jobs include:
Bioinformatician with Security Clearance

Bioinformatician with Security Clearance

Goldbelt Inc

Atlanta, GA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Overview Please note that this position is contingent upon the successful award of a contract currently under bid. Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As healthcare IT experts, Apex is committed to building systems that enable healthcare organizations to communicate and exchange data seamlessly across different systems and devices.

Summary: Goldbelt Apex is seeking a qualified Bioinformatician to provide data management and bioinformatics support services. This role involves managing epidemiological and laboratory data by utilizing various software packages in collaboration with the Centers for Disease Control and Prevention's National Center for Immunization and Respiratory Diseases, particularly within the Division of Viral Diseases and the Viral Vaccine Preventable Diseases Branch (VVPDB). Responsibilities Essential Job Functions: Support the design, development, and implementation of surveillance tools to collect epidemiologic data for Viral Vaccine-Preventable Disease Programs through the following tasks: * Maintain epidemiological and laboratory data by using SAS as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo) * Support the design, development, and implementation of surveillance tools to collect epidemiologic data * Convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets * Design, program, test, modify, enhance, maintain, and support new surveillance applications to collect epidemiological data * Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments * Transform data sources into appropriate file formats for bioinformatics/epidemiological studies * Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiological analyses * Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data * Submit monthly progress report, detailing achievements and progress on sub-tasks a-i.

Please also indicate any project obstacles that need to be overcome Qualifications Necessary Skills and Knowledge: * Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role. Minimum Qualifications: * Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types) * Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.

* Experience with interpretation, reporting, and documentation of computational analyses over biological datasets * US Citizen (birth or naturalization) Preferred Qualifications: * Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny) * Public health or CDC program support experience **NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret) Pay and Benefits At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.