What are the responsibilities and job description for the REMOTE- Real World Evidence (RWE) Project Analyst position at Guardian Research Network?
Job Purpose
This position will be responsible for the successful and timely delivery of RWE projects, coordinating with multiple departments within the company. The position will participate in internal and client facing interactions to ensure quality communications and the highest level of customer satisfaction.
Duties and Responsibilities
Lead the execution of RWE data projects with Pharma sponsors, acting as the primary delivery lead from project initiation to final dataset delivery.
Serve as the subject matter expert on the clinical content, ensuring appropriate cohort criteria, data domains, and longitudinal context are maintained.
Partner with GRN's data science, data engineering, and NLP teams to guide extraction and transformation of real-world data.
Review, validate, and interpret outputs to ensure clinical relevance, data integrity, and alignment with project requirements.
Translate customer specifications and research questions into structured project plans and data delivery specifications.
Review and interpret research protocols, analysis plans, or data specifications from Pharma partners to ensure project alignment and clinically relevant data extraction.
Participate in client-facing meetings and provide clear communication and guidance on the status, challenges, and recommendations for the data project.
Ensure timely, compliant delivery of datasets and supporting documentation, including data dictionaries, curation notes, and cohort definitions.
Collaborate with other analysts and managers to identify best practices, reusable logic, and opportunities to enhance delivery workflows.
Maintain familiarity with oncology, cardiology, or other therapeutic area-specific data elements where applicable.
Training
HIPAA
CyberSecurity Training
Anti-Harassment
Workplace Ethics
CITI modules appropriate for role
Minimum Qualifications
Bachelor of Science in health-related field, or equivalent experience.
5 years of experience in clinical data analysis or delivery, preferably supporting life sciences or RWE studies.
Experience with EMR-derived data (e.g., Epic, Cerner), claims data, and RWD curation techniques.
Strong understanding of clinical terminologies (ICD-10, SNOMED, LOINC, RxNorm) and patient cohort logic.
Proven ability to interpret complex clinical concepts and translate them into structured analytics.
workflows Familiarity with reading and interpreting research protocols, statistical analysis plans, and real-world evidence study designs.
Experience working directly with external stakeholders or clients, preferably in a CRO or pharmaceutical setting.
Proficiency in SQL, Python, or similar tools for data querying and analysis is a plus.
Exceptional attention to detail and commitment to data quality and scientific rigor.
Strong organizational, communication, and problem-solving skills.
Experience with oncology data or working knowledge of therapeutic area-specific outcomes and treatments.
Familiarity with CDISC, OMOP, or other standardized data models.
Required Competencies/Knowledge, Skills, and Abilities
Excellent interpersonal skills in order to effectively and appropriately engage internal and external contacts at all seniority levels
Ability to thrive as part of a fast-moving team to achieve deliverables
Strong written and verbal communication skills
Ability to quickly learn new software applications
Strong organizational skills, including ability to manage multiple deliverables
Excellent office productivity skills, especially with MS office applications
Adaptability and flexibility
Ability to complete tasks independently, accurately, and within compressed timelines
Working conditions
Day shift with standard working hours (8AM - 5 PM), with occasional flexibility required as deadlines may warrant
Corporate office and/or home office environment with regular computer and phone usage
Direct reports
None
This position will be responsible for the successful and timely delivery of RWE projects, coordinating with multiple departments within the company. The position will participate in internal and client facing interactions to ensure quality communications and the highest level of customer satisfaction.
Duties and Responsibilities
Lead the execution of RWE data projects with Pharma sponsors, acting as the primary delivery lead from project initiation to final dataset delivery.
Serve as the subject matter expert on the clinical content, ensuring appropriate cohort criteria, data domains, and longitudinal context are maintained.
Partner with GRN's data science, data engineering, and NLP teams to guide extraction and transformation of real-world data.
Review, validate, and interpret outputs to ensure clinical relevance, data integrity, and alignment with project requirements.
Translate customer specifications and research questions into structured project plans and data delivery specifications.
Review and interpret research protocols, analysis plans, or data specifications from Pharma partners to ensure project alignment and clinically relevant data extraction.
Participate in client-facing meetings and provide clear communication and guidance on the status, challenges, and recommendations for the data project.
Ensure timely, compliant delivery of datasets and supporting documentation, including data dictionaries, curation notes, and cohort definitions.
Collaborate with other analysts and managers to identify best practices, reusable logic, and opportunities to enhance delivery workflows.
Maintain familiarity with oncology, cardiology, or other therapeutic area-specific data elements where applicable.
Training
HIPAA
CyberSecurity Training
Anti-Harassment
Workplace Ethics
CITI modules appropriate for role
Minimum Qualifications
Bachelor of Science in health-related field, or equivalent experience.
5 years of experience in clinical data analysis or delivery, preferably supporting life sciences or RWE studies.
Experience with EMR-derived data (e.g., Epic, Cerner), claims data, and RWD curation techniques.
Strong understanding of clinical terminologies (ICD-10, SNOMED, LOINC, RxNorm) and patient cohort logic.
Proven ability to interpret complex clinical concepts and translate them into structured analytics.
workflows Familiarity with reading and interpreting research protocols, statistical analysis plans, and real-world evidence study designs.
Experience working directly with external stakeholders or clients, preferably in a CRO or pharmaceutical setting.
Proficiency in SQL, Python, or similar tools for data querying and analysis is a plus.
Exceptional attention to detail and commitment to data quality and scientific rigor.
Strong organizational, communication, and problem-solving skills.
Experience with oncology data or working knowledge of therapeutic area-specific outcomes and treatments.
Familiarity with CDISC, OMOP, or other standardized data models.
Required Competencies/Knowledge, Skills, and Abilities
Excellent interpersonal skills in order to effectively and appropriately engage internal and external contacts at all seniority levels
Ability to thrive as part of a fast-moving team to achieve deliverables
Strong written and verbal communication skills
Ability to quickly learn new software applications
Strong organizational skills, including ability to manage multiple deliverables
Excellent office productivity skills, especially with MS office applications
Adaptability and flexibility
Ability to complete tasks independently, accurately, and within compressed timelines
Working conditions
Day shift with standard working hours (8AM - 5 PM), with occasional flexibility required as deadlines may warrant
Corporate office and/or home office environment with regular computer and phone usage
Direct reports
None
