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Junior R Shiny Developer Jobs in New York (NOW HIRING)

Jr. Applications Developer

New York, NY

$73K - $95K/yr

Jr. Applications Developer (NYC) What you'll do: It's your mission to write that code that makes ... and R) Endless desire to make the world a better place to work You think first about how user ...

Jr. Applications Developer

New York, NY ยท On-site

$73K - $95K/yr

Jr. Applications Developer (NYC) What you'll do: It's your mission to write that code that makes ... R) * Endless desire to make the world a better place to work * You think first about how user ...

Data Engineer

Bedminster, NJ ยท On-site

$116K - $140K/yr

... R. * Experience with web application frameworks including Shiny, Dash, Streamlit. * Experience with CI/CD utilizing git/Azure DevOps. * Knowledge of alternative storage formats including Parquet ...

Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming languages as needed. * Public contributions or demos on ...

Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with structured and unstructured data sources * Excellent verbal and written communications; ability to ...

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Junior R Shiny Developer information

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 are Junior R Shiny Developers?

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 New York? The most popular types of R Shiny Developer jobs in New York are:
What cities in New York are hiring for Junior R Shiny Developer jobs? Cities in New York with the most Junior R Shiny Developer job openings:
Infographic showing various Junior R Shiny Developer job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 6% Part Time, 1% Temporary, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Associate Director, Epidemiology Analytics

Associate Director, Epidemiology Analytics

Daiichi Sankyo, Inc.

Basking Ridge, NJ โ€ข On-site

Full-time

Posted 7 days ago


Job description

Associate Director, Epidemiology Analytics
Job Requisition ID: 1447
Posting Start Date: 7/24/26
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Job Summary
This position of Associate Director has responsibilities as a safety data scientist in Epidemiology Analytics group of Clinical Safety and Pharmacovigilance (CSPV) at Daiichi Sankyo. This position uses and analyzes both clinical trial data and real-world data (RWD) to support our products under the supervision of the head of Epidemiology Analytics. This position leads the development and implementation of statistical analysis plan to support signal detection and evaluation, risk-benefit assessment, and other drug safety evaluation activities. This position collaborates with internal and external stakeholders including statisticians, epidemiologists, clinical safety and pharmacovigilance, regulatory, clinical, and other project stakeholders. In this position, you will play a critical role in supporting Epidemiologist and Safety Science team during an evaluation of adverse events and assessment of potential risks associated with our pharmaceutical products. We are looking for a detail-oriented, experienced, resilient, and proactive individual with outstanding analytical and communication skills in the industry or service provider settings. If you are driven by a desire to make a positive impact on the enrichment of quality of life around the world, we encourage you to apply for this exciting opportunity.
Responsibilities
Provide data management of diverse data (e.g., real-world setting and clinical trial) to set up epidemiologic data sets for various approaches, quantitative epidemiologic data analysis, interpretation of results, visualization of results, and generate manuscripts to disseminate findings. Conduct statistical analyses for epidemiological research and safety queries, including but not limited to:
o Descriptive summary and multivariable regression
o Exploratory analysis for safety endpoints in clinical trial data
o Setup and analysis of case-control and cohort study designs
o Signal detection analysis in spontaneous reports (e.g., FAERS, EVDAS)
o Signal detection/evaluation analysis in RWD
o Data mining (including free-text mining of unstructured data fields) using diverse data sources and methods
o Development of automation platform (e.g., R Shiny App)
o Literature review and meta-analysis Collaborate with cross-functional teams to evaluate and manage adverse events and risks associated with pharmaceutical products. Participate in cross-functional meetings and provide input and guidance as needed. Participate in the preparation and submission of regulatory documents related to drug safety. Maintain and manage project plans to provide deliverables on time. Collaborate with global epidemiology teams to ensure consistency and quality in safety reporting and processes. Maintain compliance with all applicable regulations and guidelines related to pharmacovigilance and drug safety. Stay informed about emerging safety issues and contribute to the development of risk management strategies. Mentor and provide guidance to junior team members
Qualifications
Education Qualifications
Master's Degree n Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field plus a minimum of 7 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred).
Or
Doctorate Degree (PhD) in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field plus a minimum of 4 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred).
Experience Qualifications
3 or more years (based upon degree) of professional experience within the pharmaceutical industry in safety or associated service provider experience
Demonstrated professional statistician skills and expertise
Proven experience leading large and/or complex statistical programming projects preferred
Experience providing technical and/or programming guidance and mentoring to junior programmers, fellows and team members.
Ability and interest to work across cultures and geographies
Ability to adapt to change and seamlessly assimilate to new projects and stakeholders
Experience developing statistical analysis plan and Meta Data Repositories
Familiarity with data management concepts of non-interventional studies
Strategic thinking
Demonstrate proficiency with programming in R, SAS, SQL, and/or Python for data mining and epidemiologic analysis
Travel Requirements
Ability to travel up to 20% of the time. Both domestic and occasional travel may be required
Additional Information
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Salary Range:
USD$157,920.00 - USD$236,880.00
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