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Remote Rwe Jobs in Royal Oak, MI (NOW HIRING)

Remote Rwe information

What is a remote RWE job?

Remote RWE (Real World Evidence) jobs involve analyzing and interpreting healthcare data collected outside of traditional clinical trials, such as electronic health records, insurance claims, and patient registries, while working remotely. Professionals in this field help pharmaceutical companies, healthcare providers, and regulatory agencies make informed decisions about the safety and effectiveness of medical treatments in real-world settings. Remote RWE roles typically require expertise in data analysis, epidemiology, and biostatistics, and often involve collaborating with cross-functional teams using virtual communication tools.

What skills and qualifications are needed to thrive as a remote Real-World Evidence (RWE) analyst?

To thrive as a Remote Real-World Evidence (RWE) Analyst, you need strong analytical skills, expertise in epidemiology or biostatistics, and typically an advanced degree in a health-related field. Familiarity with statistical software (such as SAS, R, or Python), experience in data visualization tools, and knowledge of healthcare databases are commonly required. Excellent communication, attention to detail, and self-motivation are crucial soft skills for effectively collaborating with remote teams and stakeholders. These skills ensure high-quality, credible real-world data analysis that informs healthcare decisions and supports evidence-based practice.

What are common challenges faced by remote Real-World Evidence (RWE) professionals, and how can they be addressed?

Remote RWE professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring secure and compliant data sharing, and maintaining clear communication in virtual settings. To address these issues, it's helpful to establish regular check-ins, utilize collaborative project management tools, and stay up to date with data privacy regulations. Building strong digital communication skills and participating in virtual team-building activities can also enhance collaboration and productivity in a remote work environment.

What job categories do people searching Remote Rwe jobs in Royal Oak, MI look for?

The top searched job categories for Remote Rwe jobs in Royal Oak, MI are:

Infographic showing various Remote Rwe job openings in Royal Oak, MI as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.

Product Lead, Delivery & Operations

Warren, MI • On-site, Remote


Regeneron Pharmaceuticals
Biotechnology Research and Development • 5 - 10K employees

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

19th of 86 rated pharmaceutical

Good employer

Recommended by parents

Respectful managers


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


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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