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Junior R Shiny Developer Jobs in Los Angeles, CA

... Junior Statistician with a strong foundation in statistics and data science to join the Population ... g., R, SAS, STATA). • Ability to conceptualize and construct tables and graphs. • Working ...

Provide leadership and mentorship to junior engineers. * Offer technical assistance and training to ... R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, asylee, or ...

Quality Engineer

Chatsworth, CA · On-site

$85K - $110K/yr

Provide leadership and mentorship to junior engineers. * Offer technical assistance and training to ... F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, asylee ...

Quality Engineer

Chatsworth, CA · On-site

$85K - $110K/yr

Provide leadership and mentorship to junior engineers. * Offer technical assistance and training to ... F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, asylee ...

Quality Engineer

Chatsworth, CA · On-site

$85K - $100K/yr

Provide leadership and mentorship to junior engineers. * Offer technical assistance and training to ... F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, asylee ...

Provide leadership and mentorship to junior engineers. * Offer technical assistance and training to ... R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, asylee, or ...

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Showing results 1-20

Junior R Shiny Developer information

See Los Angeles, CA salary details

$25.9K

$95.9K

$148.2K

How much do junior r shiny developer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior r shiny developer in Los Angeles, CA is $95,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $93,700.00 per year, depending on experience, location, and employer.

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

AspectJunior R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, basic programmingData manipulation, statistical analysis, visualization
Work EnvironmentDeveloping interactive web apps, codingData interpretation, reporting, dashboards
Industry UsageTech, healthcare, finance for app developmentBusiness, marketing, finance for insights

While both roles involve working with data, a Junior R Shiny Developer primarily focuses on creating interactive web applications using R and Shiny, requiring coding skills. In contrast, a Data Analyst interprets data, generates reports, and provides insights, often using tools like Excel, SQL, or visualization software. The roles overlap in data handling but differ in technical depth and end goals.

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

To excel as a Junior R Shiny Developer, you need a solid understanding of R programming, data analysis, and basic web development concepts, typically supported by a degree in computer science, statistics, or a related field. Familiarity with the Shiny package, Git version control, and data visualization tools like ggplot2 is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies ensure the delivery of robust, user-friendly data applications that meet client or organizational needs.

What is a Junior R Shiny developer?

Junior R Shiny Developers are entry-level professionals who build interactive web applications using the R programming language and the Shiny framework. They typically work under the guidance of senior developers to design, develop, and maintain data-driven dashboards and tools. Their tasks often include writing R code, creating user interfaces, visualizing data, and ensuring applications run smoothly. This role is ideal for individuals with a background in statistics, data analysis, or programming who are looking to gain experience in web development and data science applications.

What are some common challenges faced by Junior R Shiny developers during project development?

Junior R Shiny Developers often encounter challenges related to translating user requirements into interactive web applications, managing reactivity efficiently, and ensuring application performance with larger datasets. Navigating unfamiliar codebases, debugging reactive expressions, and learning best practices for UI/UX design in Shiny are also typical hurdles. Collaborating closely with data scientists and end users is essential to refine features and ensure the app meets practical needs, so strong communication and a willingness to learn from feedback are key to success in this role.
What are the most commonly searched types of R Shiny Developer jobs in Los Angeles, CA? The most popular types of R Shiny Developer jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Junior R Shiny Developer jobs? Cities near Los Angeles, CA with the most Junior R Shiny Developer job openings:

Director, Statistical Programming - Remote Position

Puma Biotechnology, Inc.

Los Angeles, CA • On-site, Remote

$220K - $250K/yr

Full-time

Posted 28 days ago


Job description

Puma Biotechnology Inc. does not accept unsolicited resumes or candidates from outside staffing agencies or recruiters.
The primary objective of this position is to provide strategic and technical leadership for the Statistical Programming function, ensuring the timely delivery of high-quality programming deliverables in support of clinical development and regulatory submissions. This role establishes departmental standards, oversees the production of datasets, tables, listings, and figures (TLFs), ensures compliance with regulatory and industry standards, and partners cross-functionally to support development programs. This is a technical leadership position that will also include the management and development of statistical programmers.
Major Duties / Responsibilities
  • Represent programming at study and project team meetings and collaborate with other functions within clinical development for all activities related to analyses of clinical trial data
  • Create datasets, files, tables, listings, and figures (TLFs), as needed for internal milestones, regulatory requests, commercial inquiries, ad-hoc requests, and marketing applications
  • Apply and promote consistent programming standards through standard processes and SOPs
  • Maintain appropriate documentation surrounding clinical data and/or programs
  • Evaluate processes to implement for improvement in standards development and other tools that benefit the department
  • Manage the implementation of dataset and TLF processes and methods
  • Programming support for activities for functions outside of clinical development
  • Partner with the biometrics head to manage the budget and resource planning for statistical programming area
  • Coordinate workloads within programming to meet company goals

Supervisory Duties
  • Will oversee & manage other programmers
  • Conduct annual reviews, performance evaluations, and goal setting for direct reports

Required Education and Professional Experience
  • BS in Mathematics, Computer Science, Statistics, or related field
  • At least 8 years of progressive statistical programming experience
  • Prior management experience leading a team of statistical programmers
  • Expert knowledge of all aspects of CDISC, including SDTM, ADaM, metadata, biomedical concepts, and controlled terminology
  • Regulatory and industry requirements
  • Proficiency of EDC
  • Expert in SAS (Base, STAT, GTL, Macro)
  • Windows or UNIX operating system on a remote server

Preferred Education and Experience
  • MS in Mathematics, Statistics, or Biostatistics
  • FDA, EU, PMDA and NMPA submissions
  • 10-12 years of progressive statistical programming experience
  • 5+ years of management experience leading a team of statistical programmers
  • Python, R, Shiny, Plotly, ChartJS

Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that ae required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Position Type/Expected Hours of Work
This is a full-time position. Days and hours of work are Monday through Friday, approximately 8:30 AM to 5 PM, depending on the schedule for the day. This position occasionally requires working outside of these hours and may extend to evenings and weekends as business needs require.
Work Environment
This position operates in a professional, virtual environment, working from a remote location, usually the employee's home.
Travel
The role requires infrequent travel. Minimal travel may be required for meetings and/or conferences, up to 5%.
Physical Demands
This is a remote position with employees working from a home office. The physical demands described are representative of those that must be met by an employee to successfully perform the primary functions of this position. The physical demands of the home office are normally associated with extended amounts of time sitting and using office equipment (including a computer, keyboard, and mouse), standing, walking, sitting, speaking, and hearing. The employee must occasionally lift or move up to 25 pounds.
Compensation Range
The salary range for this role is $220,000 - $250,000 per year. Higher compensation may be available for someone with advanced skills and/or experience.
At Puma Biotechnology, we offer an attractive compensation package to our team members. Any offer would include a competitive base salary (estimate shared above), an annual bonus target, and a robust benefits package. Actual individual pay is determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
#LI-Remote
Puma Biotechnology Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, status as a protected veteran, or any other characteristic protected by law.