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Internship R Statistical Programmer Jobs in Ohio

Process Engineering * Quality / Continuous Improvement * Environmental, Health & Safety ... statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation ...

Process Engineering * Quality / Continuous Improvement * Environmental, Health & Safety ... statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

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Internship R Statistical Programmer information

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
What are the most commonly searched types of R Statistical Programmer jobs in Ohio? The most popular types of R Statistical Programmer jobs in Ohio are:
What are popular job titles related to Internship R Statistical Programmer jobs in Ohio? For Internship R Statistical Programmer jobs in Ohio, the most frequently searched job titles are:
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Applied AI ML [Multiple Positions Available]

Applied AI ML [Multiple Positions Available]

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 25 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 490 frontline employees who took The Breakroom Quiz

57th of 148 rated banks


Job description

DESCRIPTION:

Duties: Apply statistical and machine learning methodologies, including causal inference methodologies, and perform advanced analytics to solve business problems. Perform quantitative and statistical analysis of datasets to identify trends, patterns, and correlations that can be used to improve business performance. Generate insights through data analysis and understanding of business processes and turn insights into actionable recommendations using algorithms. Build and deploy prototype solutions to demonstrate ideas and prove concepts. Collaborate with others in the organization to develop new ideas and brainstorm potential solutions. Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues. Act as a subject matter expert and advisor in the analytics discipline and mentor junior team members.

QUALIFICATIONS:

Minimum education and experience required: PhD in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study. The employer will alternatively accept a Master's degree in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study plus 3 years of experience in the job offered or as Applied AI ML or related occupation. Experience in the occupation may be gained through professional work experience, graduate work experience, internships, or academic training.

Skills Required: This position requires experience with the following: Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal inference and causal estimation including Structural Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and programming using a programming language such as R; Writing academic-style documentations. Experience in the skills may be gained through professional work experience, graduate work experience, internships, or academic training.

Job Location: 1111 Polaris Pkwy, Columbus, OH 43240.

Full-Time.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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