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    Senior Analyst, Real World Evidence (Rwe)

    Fortrea
    2+ years
    Not Disclosed
    Remote, USA
    10 Nov. 6, 2024
    Job Description
    Job Type: Full Time Remote 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: Senior Analyst, Real World Evidence (RWE)
    Company: Fortrea
    Location: Remote (U.S. based)
    Employment Type: Full-Time, Permanent
    #LI-REMOTE

    About Fortrea:

    Fortrea is a leading global contract research organization (CRO) that provides innovative clinical development, patient access, and technology solutions across more than 20 therapeutic areas. With operations in over 90 countries, we are dedicated to transforming drug and device development for pharmaceutical, biotechnology, and medical device clients. Our passion for scientific rigor and decades of clinical development experience helps us deliver life-changing therapies to patients around the world.

    Job Overview:

    The Senior Analyst, Real World Evidence (RWE) is a remote position that provides programming and analysis support for Real World Evidence (RWE) projects for Fortrea’s clients. The role involves utilizing various sources of real-world data to perform detailed analysis and contribute to impactful insights for clinical and research outcomes.

    This is a permanent, remote opportunity that can be worked from anywhere in the U.S.

    Essential Job Duties:

    As a Senior Analyst in RWE, you will contribute to the analysis and programming of real-world data and collaborate with cross-functional teams to deliver impactful findings.

    • Real-World Data Programming: Provide programming support for analyzing real-world data from multiple sources, including medical and pharmacy claims data, electronic medical records (EMR), hospital data, and observational study data.
    • Programming Specifications: Contribute to the development of programming specifications based on analysis requirements and source data.
    • Dataset Development & Validation: Create and validate analysis datasets from diverse data formats and sources, ensuring accuracy and readiness for analysis.
    • Data Visualization: Develop and validate graphs, tables, and other visualizations, ensuring clarity and utility for exploratory investigations and reporting.
    • Documentation & Reporting: Maintain comprehensive documentation for assigned deliverables and provide timely status updates to the project lead and team members.
    • Process Improvement: Identify opportunities to enhance productivity, quality, and efficiency within the programming processes.
    • Collaborative Communication: Present and share knowledge at department meetings and contribute to continuous learning within the team.

    Qualifications (Minimum Required):

    • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, Econometrics, or a related field. Equivalent experience may be considered in lieu of educational requirements.
    • Experience:
      • 3-5 years of Real World Evidence (RWE) analysis experience within the CRO or pharmaceutical industry.
      • Hands-on experience with EHR/Claims databases (e.g., Optum, MarketScan, Flatiron) is required.
      • Proficiency in SAS and SQL programming.

    Preferred Qualifications:

    • Experience with programming languages such as R and Python.
    • Familiarity with handling big data, non-standard/new data, and complex datasets.
    • Expertise in creating effective data visualizations for presentation and analysis.
    • A strong analytical mindset and logical thinking ability.
    • Experience working with real-world data from health insurance claims, retrospective analyses, observational studies, and pragmatic clinical trials.
    • Strong understanding of advanced statistical and econometric methods.
    • Ability to clearly communicate RWE study results to both technical and non-technical stakeholders.
    • Ability to work effectively in dynamic, matrixed environments with diverse teams.

    US Pay Range:

    $80,000 - $100,000 USD (Salary may vary based on experience, qualifications, and market conditions)

    Benefits:

    Fortrea offers comprehensive benefits for all regular, full-time employees working 20 or more hours per week, including:

    • Medical, Dental, Vision, Life Insurance
    • Short-Term and Long-Term Disability
    • 401(K) and Employee Stock Purchase Plan (ESPP)
    • Paid Time Off (PTO) or Flexible Time Off (FTO)
    • Company Bonus (where applicable)
    • For more detailed benefits information, please click here.

    Why Fortrea?

    At Fortrea, we believe in empowering our employees to make a meaningful impact in the world of clinical trials. We offer a collaborative and dynamic work environment where personal growth is nurtured, and innovation is celebrated. Join our team of motivated problem-solvers and be part of our mission to revolutionize drug and device development, bringing life-changing therapies to those who need them most.

    Fortrea is an Equal Opportunity Employer:
    Fortrea is committed to diversity and inclusion in the workforce. We do not tolerate harassment or discrimination and make employment decisions based on qualifications, experience, and business needs. All qualified individuals are encouraged to apply, regardless of race, religion, gender, sexual orientation, disability, or any other legally protected status.

    For more information about how we collect and store your personal data, please see our Privacy Statement.

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    Tokyo :

    Otemachi |

    Kazakhstan :

    Almaty |

    Remote Korea :

    Remote Korea |

    Republic of Korea :

    Seoul |

    Kuala Lumpur :

    Kuala Lumpur |

    Mexico :

    Ciudad de México |

    New Zealand :

    New Zealand |

    North Island :

    Auckland |

    Lima Region :

    Lima |

    Cebu Province :

    Cebu City |

    Philippines :

    Manila |

    Mazovia :

    Warsaw |

    Remote :

    McFarland | Zaragoza | Remote, USA | Green Way | Remote - South America (Latin Americal) | Manipal | Remote | Remote - Middle East | Remote - Africa | Victoria | Springville | Lousiana | Faridabad | Tulsa | Slovakia | Riga | Nairobi | Medan | Melbourne | Blue Bell | Texas | Thailand | Hungary | Switzerland | Minnesota | Bountiful | Castlebar | Belgium | Lenexa | Bishop | Remote - Europe | Xzagreb | French | Leinster | Hammond | Ireland |

    Bucharest :

    Bucharest |

    Makkah :

    Najran | Jeddah | Rabigh | Riyadh | King Abdullah Economic City | Khulais |

    Nišava District :

    Niš |

    Singapore :

    Singapore |

    South Africa :

    Midrand | South Africa |

    Brazil :

    Sao paulo | Brazil |

    South America :

    Peru | Argentina |

    Catalonia :

    Barcelona |

    Madrid :

    Madrid |

    Sweden :

    Sweden |

    Taipei :

    Taipei |

    Williamson :

    Brentwood |

    Republic of Thailand :

    Bangkok |

    Kyiv Oblast :

    Kyiv |

    Dubai :

    Dubai |

    Hà Nội :

    Hanoi | Hà Nội |

    Ho Chi Minh :

    Ho Chi Minh City |