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Remote R Shiny Developer Jobs in Texas (NOW HIRING)

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

Fully Remote Experience : 5+ years JD: The STARS Data Operations Program Orchestration - Manager Data Analytics will work with STARs HEIDIS measure Owners as a Senior Workflow Developer in M&R ...

Salesforce Developer

Plano, TX · On-site +1

$53.25 - $70.75/hr

R.O. principles- A daptable, P rofessional, R elationship-Focused, and O utcome-Based-reflect who ... Additional Information This role is 100 percent on-site, the City does not offer hybrid or remote ...

Python Data Wrangler Internship

Texas, IL · On-site +1

$49.75 - $68.50/hr

... of educational experience with statistical programming languages (such as Python or R ... Can be in office, remote, or hybrid* Employment Type: INTERN

SAP AI Lead Developer

Plano, TX · On-site +1

$56.75 - $74.25/hr

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Remote R Shiny Developer information

What are the key skills and qualifications needed to thrive as a Remote R Shiny Developer, and why are they important?

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

What is the difference between Remote R Shiny Developer vs Data Analyst?

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of R Shiny Developer jobs in Texas? The most popular types of R Shiny Developer jobs in Texas are:
What job categories do people searching Remote R Shiny Developer jobs in Texas look for? The top searched job categories for Remote R Shiny Developer jobs in Texas are:
What cities in Texas are hiring for Remote R Shiny Developer jobs? Cities in Texas with the most Remote R Shiny Developer job openings:
Postdoctoral Fellow - Biostatistics

Postdoctoral Fellow - Biostatistics

MD Anderson

Houston, TX • On-site, Remote

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 days 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

33rd of 864 rated healthcare providers


Job description

The Department of Biostatistics at the University of Texas MD Anderson Cancer Center has an open postdoctoral position. The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan. The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in research meetings with medical collaborators to implement applications related to methodological research projects.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Learn statistical theory and its application in cancer clinical trials; obtain expertise in Bayesian adaptive designs, hierarchical models, and biomarker-based clinical trial design and analysis for precision medicine; develop strong programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React.
ELIGIBILITY REQUIREMENTS
We seek a highly motivated individual with a Ph.D. in statistics, biostatistics, or a related quantitative field. Candidates must have strong methodological training in statistics or biostatistics, and strong computer programming skills. Expertise or skills in the following areas are highly desirable: Bayesian statistics, and adaptive clinical trial design.
Please send CV and information on three referees directly to yyuan@mdanderson.org.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
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

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