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Freelance R Shiny Developer Jobs in Michigan (NOW HIRING)

Freelance R Shiny Developer information

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

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What are the key skills and qualifications needed to thrive as a freelance R Shiny developer?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What is a freelance R Shiny developer?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.
What are popular job titles related to Freelance R Shiny Developer jobs in Michigan? For Freelance R Shiny Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance R Shiny Developer jobs in Michigan look for? The top searched job categories for Freelance R Shiny Developer jobs in Michigan are:
What cities in Michigan are hiring for Freelance R Shiny Developer jobs? Cities in Michigan with the most Freelance R Shiny Developer job openings:

Product Lead, Delivery & Operations

Regeneron Pharmaceuticals

Warren, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Build our future together:

The Regeneron Global Development IT (GD IT) BDM/CGM & ES Lead serves as theProductLeadfor the Data Lakehouse and Analytics platforms, partnering with Biostatistics Data Management (BDM), Clinical Genetics Medicine and Experimental Sciences (CGM/ES), compliance, and IT stakeholders to deliver compliant, scalable solutions. This role ownsrequirementsanalysis, roadmap alignment, backlog prioritization, and product delivery/execution across these platforms.Success in this role requires strong technical and domain expertise in data transfer and aggregation mechanisms from EDC,non-EDC (e.g., labs, biomarkers, and genetic data)and RWE sourcesas well as proficiency in R and Python for data management and statistical programming, and experience with AWS,Snowflakeand Databricks.Experience is Human Sample Data management fromClinicalTrial perspective is a huge plus.The role also demands strong Agile product delivery skills, cross-system integration experience, and adherence to globalGxPand regulatory standards.

When & where:

Based at our Warren, NJ or Armonk, NY locations.

4 days on-site per week required. This role is not open to fully remote or hybrid work arrangements.

Discover your role:

Responsibilities include

  • LeadGxPimplementation ofData Lakehouse (AWS,Snowflakeand Databricks), Positsolutions and support exploratorynon-GxPuse cases

  • Provide thought leadership and architectural inputs to shape a scalable future proof modern ecosystem

  • Manage Human Sample Management as a unified product across sites, labs, EDC systems, and internal LIMS, centralizing data to track specimen location, status, and chain of custody while automating reconciliations

  • Use AI and agents toenable digital transformation, from strategy to delivery, while remaining complaint and secure

  • Manage product roadmapsandtechnicalenablement

  • Lead end-to-end requirements analysis, design, and configuration

  • Manage scrum andkanbandashboardswithteamand ensuretimelystatus updatesto stakeholders

  • Gather requirements, manage enhancements, coordinate system changes and user testing, and support release and change management.

  • Operate within aproductbasedAgile delivery model, owning roadmap execution, backlog prioritization, sprint planning, UAT, release management, and continuous improvement using Jira and ServiceNow.

  • Drive stakeholder communication, change management, anddeliverytransparency, including status reporting, risk management, release communications, and cost/budget tracking.

  • Work with team to createmonthly/quarterly stakeholder communications, newsletters

  • Document standards, processes, and best practices; provide training to technical andnontechnicalteams.

  • Participate in governance forums (steering committees, working groups, change reviews) to ensure alignment andcrossfunctionalcollaboration

  • Develop strong business relationships to clarify needs,anticipaterequirements, and ensure solutions meet user expectations.

  • Establish end to end data governance procedures with stakeholders

This role requires:

  • BS/ Degree with10+ years relevantexperience.

  • MSor MBA with 6+ years preferred.Specifically inLife Sciences IT, Product Management, or Business/Systems Analysis with a strong focus onClinicalData Management and Analytics

  • Experience with data lakes/lakehouses(Snowflake, Databricks, AWS) supporting Clinical, RWE, and Safety data

  • Experience building data pipelines for transfer, cleaning, and aggregation from EDC (RAVE),eCOA, and non-EDC sources (lab, biomarker, genetic/omics data), including API and Regeneron Transfer Service (RTS) integrations

  • Experience with Human Sample Management

  • Hands-onproficiencyin SAS, R, and Python, including R Shiny development/deployment, APIs, SAS Viya/Posit, and AI automation for clinical R&D

  • Knowledge of CDISC standards (SDTM,ADaM) and Pinnacle 21

  • Understanding of Data Management and Safety functions - signal detection, data quality, query management, lab data reconciliation

  • Knowledge of CRO data transfer specs and data curation across studies/programs/therapeutic areas

  • Knowledge of computer system validation, 21 CFR Part 11,GxP, CSV documentation (IQ/OQ/PQ), traceability, change control

  • Understanding of blinded/unblinded datasets, interim analysis, and DB Lock sensitivities

  • Experience with ML and visual analytics (feature engineering, training, evaluation) via R, Python, SAS, Posit

  • Expertisewith Generative and Agentic AI (RAG, Agents, MCP, Claude, GPT)

  • Experience with AWS, DevOps, CI/CD workflows

  • Experience deploying analytical workloads/Shiny apps to cloud, including production troubleshooting

  • Experience with CRAN, Git/Bitbucket, version control best practices

  • Proficiencyin Agile Product Lead delivery - backlogs, user stories, sprint planning, UAT, roadmap alignment

  • Strong analytical and communication skills - translating technical/regulatory requirements for stakeholders

  • Knowledge of pharma R&D/clinical development processes, SDLC/SSDLC frameworks

Preferred Qualifications

  • Strong data management and clinical analytics background with data governance experience

  • Provenexperience in designing clinical data repositories, data lakes, data lake houses andoptimizingit for multiple teamssuch as Data Management, RWD, Statistical Programming

  • Experience providing technical leadershipon EDC and Non-EDC data integration into data lakes and data lake houses with other internal systemsacross business functions

  • Experience working in a highly matrixed organization and multi-disciplinary team

  • Experience managingstakeholderexpectations and ability to prioritize conflicts

  • Experiencewith JIRA for backlog and delivery management; exposure to ServiceNow-JIRA integrations

  • Certification or equivalentexperiencein product management

  • Good understanding ofAgentic AI andGenerative AI tools and capabilities

  • Background documenting best practices for configuration, data quality, release management, and governance

  • Veeva, Salesforce, or Product Management certifications

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$134,400.00 - $219,200.00

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