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Internship Python R Jobs in Maryland (NOW HIRING)

Knowledge of R, Python, or similar database applications * Familiarity with MS Access or other ... Interns will work hybrid in Baltimore, MD, Cedar Rapids, IA, or Philadelphia, PA. Specific location ...

Pricing Analyst II

Bethesda, MD · On-site

$51K - $115K/yr

Proficiency with data analysis software such as R, SAS, SQL, Python, Power BI, or similar tools ... Previous internship experience in a related field or business. Annual Salary $51,250.00 - $115,825 ...

Showing results 21-29

Internship Python R information

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

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What is an internship Python R?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

What are the key skills and qualifications needed to thrive as an internship Python R, and why are they important?

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.
What are the most commonly searched types of Python R jobs in Maryland? The most popular types of Python R jobs in Maryland are:

Full-time

Re-posted 6 hours ago


Job description

Description
The College of Natural and Mathematical Sciences at the University of Maryland Baltimore County (UMBC) invites applications for a full-time, 12-month, non-tenure-track lecturer position in bioinformatics for UMBC's newly launched bachelor's degree in Translational Life Science Technology (TLST). This position is located at UMBC's branch campus in Rockville, Maryland at The Universities at Shady Grove.
RESPONSIBILITIES: As full-time teaching faculty, the incumbent will be responsible for teaching classes related to bioinformatics in the TLST program such as statistics, translational bioinformatics, and life science software applications. The TLST curriculum is designed to align with the growing field of translational science which is the process of turning a scientific discovery into a life-saving solution while addressing critical workforce needs of the biotechnology industry. This is UMBC's first undergraduate STEM program being offered at The Universities at Shady Grove near the growing biotechnology industry hub in Montgomery County, Maryland.
In addition to teaching, the incumbent will be responsible for a modest level of administrative duties primarily related to the development and management of a bioinformatics concentration within the TLST B.S. degree program. Other administrative duties include assisting with student recruitment and retention activities; advising students including guidance on internship opportunities; and assisting with the recruitment and support of bioinformatics-related adjunct faculty, if necessary.
In addition to teaching, the incumbent will be responsible for a modest level of administrative duties primarily related to the development and management of a bioinformatics concentration within the TLST B.S. degree program. Other administrative duties include assisting with student recruitment and retention activities; advising students including guidance on internship opportunities; and assisting with the recruitment and support of bioinformatics-related adjunct faculty, if necessary.
Qualifications
Candidates must have a master's degree (doctoral degree preferred) in bioinformatics, computational biology, statistics, or a related field with three years of bioinformatics-related academic or professional experience. Proficiency in common programming/scripting languages (ex: R, Python, C++, Perl) is required and preferably a knowledge of open source genome assembly software tools (ex: SISRS and TIGR assembler). Teaching experience in the classroom and/or on-line is required. Experience working with community college and transfer students as well as the use of innovative teaching strategies is desired but not required. Candidates should also have strong organizational, management, and interpersonal skills and enjoy working in transdisciplinary, dynamic environments due to the administrative duties of the position.
Application Instructions
APPLICATION: For best consideration, please submit the following via the Interfolio website at https:apply.interfolio.com/99879 by May 15, 2022.
1) detailed curriculum vitae,
2) a statement teaching/mentoring goals,
3) a statement of commitment to diversity, equality, and inclusion in STEM and
4) names and contact details of three to five references.
Position will remain open until filled. Questions regarding the position can be directed to Elizabeth Friar (efriar1@umbc.edu). However, all applications MUST be submitted through Interfolio.