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R Shiny Remote Jobs in California (NOW HIRING)

R Shiny Remote information

What is an R Shiny remote job?

R Shiny remote jobs involve developing, deploying, and maintaining interactive web applications built with the R Shiny framework, while working from a remote location. These roles typically require strong skills in R programming, data visualization, and web development. Remote R Shiny developers collaborate with teams virtually, contributing to data-driven projects across industries such as healthcare, finance, and research. Common responsibilities include building dashboards, integrating APIs, and optimizing user interfaces for clients or internal stakeholders.

What skills and qualifications are needed to thrive as an R Shiny developer in a remote role?

To thrive as an R Shiny Developer remotely, you need strong expertise in R programming, experience with Shiny application development, and a background in data analysis or statistics. Familiarity with version control systems like Git, cloud platforms (such as AWS or Azure), and deployment tools is typically required, along with relevant certifications in R or data science being advantageous. Excellent communication, self-motivation, and problem-solving skills are crucial for collaborating across distributed teams and managing projects independently. These skills ensure you can build robust, interactive data applications while effectively contributing to remote teams and meeting project goals.

What are common challenges faced by R Shiny developers working remotely, and how can they be addressed?

R Shiny developers working remotely often encounter challenges such as coordinating with distributed teams, ensuring efficient communication, and managing version control for collaborative projects. To overcome these, it's essential to use project management tools like Jira or Trello, maintain regular virtual meetings, and leverage platforms like GitHub for code collaboration. Additionally, clear documentation and proactive communication help ensure that all team members are aligned, even when working across different time zones.

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

AspectR Shiny RemoteData Analyst
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in R and ShinyBachelor's or higher in Data Science, Statistics, or related field; strong analytical skills
Work environmentRemote, often project-based or contract rolesTypically office-based or hybrid; some remote options
Industry usageTech, finance, healthcare, and research sectorsBusiness, finance, healthcare, marketing
Common search intentRemote R Shiny developer jobsData analyst roles with remote options

R Shiny Remote professionals focus on developing interactive web applications using R in a remote setting, often requiring coding and deployment skills. Data Analysts analyze data to generate insights, sometimes using R but with broader responsibilities. While both roles may overlap in data handling, R Shiny Remote roles emphasize application development, whereas Data Analysts focus on data interpretation.

What are the most commonly searched types of R Shiny jobs in California?

The most popular types of R Shiny jobs in California are:

What are popular job titles related to R Shiny Remote jobs in California?

For R Shiny Remote jobs in California, the most frequently searched job titles are:

What cities in California are hiring for R Shiny Remote jobs?

Cities in California with the most R Shiny Remote job openings:

Director, Statistical Programming - Remote Position

Puma Biotechnology, Inc.

Los Angeles, CA • On-site, Remote

$220K - $250K/yr

Full-time

Re-posted 8 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.