Real World Evidence (RWE) Project Analyst - REMOTE

Guardian Research Network; Spartanburg, Fair Play (SC, MO); Remote; USD 70,000 - 100,000; Full time

Job summary

An established industry player is seeking a dedicated professional to lead RWE data projects, ensuring successful delivery and exceptional client satisfaction. This role involves collaborating with various teams to extract and transform real-world data while maintaining the highest standards of data quality and integrity. The ideal candidate will possess strong analytical skills, a solid understanding of clinical data, and the ability to communicate effectively with stakeholders. Join a dynamic team where your contributions will directly impact the success of innovative healthcare solutions and drive meaningful change in the industry.

Qualifications

• 5+ years of experience in clinical data analysis or delivery, preferably in life sciences.
• Strong understanding of clinical terminologies and patient cohort logic.

Responsibilities

• Lead execution of RWE data projects with Pharma sponsors from initiation to delivery.
• Ensure timely, compliant delivery of datasets and supporting documentation.

Skills

Clinical Data Analysis

Communication Skills

Problem-Solving Skills

Attention to Detail

Organizational Skills

Interpersonal Skills

Adaptability

Education

Bachelor of Science in Health-related Field

Tools

SQL

Python

MS Office Applications

Job description

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

1. Lead the execution of RWE data projects with Pharma sponsors, acting as the primary delivery lead from project initiation to final dataset delivery.
2. Serve as the subject matter expert on the clinical content, ensuring appropriate cohort criteria, data domains, and longitudinal context are maintained.
3. Partner with GRN's data science, data engineering, and NLP teams to guide extraction and transformation of real-world data.
4. Review, validate, and interpret outputs to ensure clinical relevance, data integrity, and alignment with project requirements.
5. Translate customer specifications and research questions into structured project plans and data delivery specifications.
6. Review and interpret research protocols, analysis plans, or data specifications from Pharma partners to ensure project alignment and clinically relevant data extraction.
7. Participate in client-facing meetings and provide clear communication and guidance on the status, challenges, and recommendations for the data project.
8. Ensure timely, compliant delivery of datasets and supporting documentation, including data dictionaries, curation notes, and cohort definitions.
9. Collaborate with other analysts and managers to identify best practices, reusable logic, and opportunities to enhance delivery workflows.
10. Maintain familiarity with oncology, cardiology, or other therapeutic area-specific data elements where applicable.

Training

1. HIPAA
2. CyberSecurity Training
3. Anti-Harassment
4. Workplace Ethics
5. CITI modules appropriate for role

Minimum Qualifications

1. Bachelor of Science in health-related field, or equivalent experience.
2. 5+ years of experience in clinical data analysis or delivery, preferably supporting life sciences or RWE studies.
3. Experience with EMR-derived data (e.g., Epic, Cerner), claims data, and RWD curation techniques.
4. Strong understanding of clinical terminologies (ICD-10, SNOMED, LOINC, RxNorm) and patient cohort logic.
5. Proven ability to interpret complex clinical concepts and translate them into structured analytics.
6. Familiarity with reading and interpreting research protocols, statistical analysis plans, and real-world evidence study designs.
7. Experience working directly with external stakeholders or clients, preferably in a CRO or pharmaceutical setting.
8. Proficiency in SQL, Python, or similar tools for data querying and analysis is a plus.
9. Exceptional attention to detail and commitment to data quality and scientific rigor.
10. Strong organizational, communication, and problem-solving skills.
11. Experience with oncology data or working knowledge of therapeutic area-specific outcomes and treatments.
12. Familiarity with CDISC, OMOP, or other standardized data models.

Required Competencies/Knowledge, Skills, and Abilities

1. Excellent interpersonal skills in order to effectively and appropriately engage internal and external contacts at all seniority levels.
2. Ability to thrive as part of a fast-moving team to achieve deliverables.
3. Strong written and verbal communication skills.
4. Ability to quickly learn new software applications.
5. Strong organizational skills, including ability to manage multiple deliverables.
6. Excellent office productivity skills, especially with MS office applications.
7. Adaptability and flexibility.
8. 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