Instagram
youtube
Facebook

Real World Evidence Analyst Ii

1-3 years
Not Disclosed
10 Feb. 19, 2025
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Real World Evidence Analyst II

Location: Bangalore
Category: Data Management & Data Science
Job ID: 2439444


Company Overview:

Fortrea is a leading global contract research organization (CRO) that provides pharmaceutical, biotechnology, and medical device clients with clinical development, patient access, and technology solutions across over 20 therapeutic areas. Operating in approximately 100 countries, Fortrea is focused on transforming the drug and device development process, ultimately helping to bring life-changing treatments to patients around the world.


Job Overview:

As a Real World Evidence (RWE) Analyst II, you will provide programming support for the analysis of real-world data, which includes medical and pharmacy claims data, hospital data, electronic medical records (EMR), and observational study data. You will contribute to the development of programming specifications and assist in data cleaning, validation, and the creation of analysis-ready datasets, tables, and figures. This role plays a critical part in delivering accurate and timely results for client investigations.


Key Responsibilities:

  • Programming Support for RWE Analysis:

    • Assist in the analysis of real-world data from various sources (e.g., claims data, EMRs, observational study data).

    • Develop programming specifications and validate datasets based on analysis requirements and source data.

  • Dataset Creation & Validation:

    • Create and validate analysis datasets from diverse file formats (internal and external).

    • Develop and validate tables, listings, and figures for exploratory investigations.

  • Documentation & Reporting:

    • Maintain documentation for all assigned deliverables and ensure that progress is communicated to project leads and team members in a timely manner.

  • Enhancing Productivity & Quality:

    • Participate in departmental meetings, sharing insights and identifying opportunities for productivity, quality, and efficiency improvements in programming processes.

  • Collaboration & Learning:

    • Contribute to team knowledge sharing and learning opportunities, assisting in process enhancements where applicable.


Qualifications:

  • Education:

    • Typically, 1–3 years of experience in Real World Evidence analysis or a similar role, in the CRO or pharmaceutical industry, or an equivalent combination of education and experience.

  • Experience:

    • Experience working with data from Electronic Health Records (EHR) and Claims databases (e.g., Optum, Marketscan, Flatiron) is essential.

    • Proficiency in SAS and SQL programming is required.

  • Preferred Skills:

    • Experience with diverse real-world data sources and knowledge of data cleaning, dataset creation, and programming for analysis.

    • Familiarity with exploratory analyses and developing quality control processes.


Fortrea’s Culture:

Fortrea values creativity and problem-solving, providing a dynamic work environment that encourages personal growth. They embrace a collaborative culture, built around the Fortrea FOUR values: Forward Together, Own It, Uphold Integrity, and Respect People.


Equal Opportunity Employer:

Fortrea promotes diversity and inclusion in the workforce and does not tolerate discrimination or harassment. Employment decisions are based on the business needs and the qualifications of the individual.


This role offers an exciting opportunity for someone with a background in data analysis and real-world evidence to make an impact in clinical trials. Let me know if you'd like more details or to apply!