Real World Evidence (RWE) Analyst

LanceSoft Inc

Santa Monica, CA(remote)

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JOB DETAILS

SALARY

$70–$86.33 Per Hour

JOB TYPE

Full-time

SKILLS

Analysis Skills, Best Practices, Biology, Biometrics, Biostatistics, Communication Skills, Contract Research Organization (CRO), Cross-Functional, Data Analysis, Data Collection, Electronic Publishing, Epidemiology, Health Economics, Marketing, Medical Record System, Oncology, Performance Metrics, Pharmacovigilance, Presentation/Verbal Skills, Protocol Analysis, R Programming Language, Regulations, Reporting Dashboards, Reporting Skills, Research Protocols, Rural Contracts, Statistical Analysis System (SAS), Statistical Programming Languages, Statistics, Team Player, Time Management, Writing Skills

LOCATION

Santa Monica, CA

POSTED

5 days ago

Job Title: Real World Evidence (RWE) Analyst Location: 100% Remote Contract Duration: 06 Months Pay Range: $70.00 - $86.33 USD hourly on W2 Job Description: The RWE Analyst will contribute to the Real-World Evidence/Health Economic Outcomes Research (RWE/HEOR) Team as part of an effort to contribute to the strategies of the broader Evidence Generation Team, which will include the conduct of timely, relevant, and rigorous analysis of real-world data (RWD) to address critical research questions and contribute to cross-functional initiatives. The RWE Analyst will be responsible for developing, reviewing, and providing feedback on study documents, such as protocols and statistical analysis plans, and executing planned data analyses using administrative claims, electronic health record (EHR), and observational registry databases. The RWE Analyst will work closely with project teams to manage timelines and workflows, and to communicate results and updates to internal cross-functional stakeholders, including people from Biometrics, Clinical Operations, and Safety. The RWE Analyst will have access to real-world databases licensed across Gilead and and act as stewards of Gilead's and best research practices, standards, and methodologies underlying the use of RWE. Key Responsibilities: Support development of and provide critical appraisal of study protocols for research projects using RWD (e.g., medical claims, EHR, and observational registry databases) Lead or support development of statistical analysis plans in collaboration with internal stakeholders (e.g., Biometrics and programming team members) Conduct data reviews for primary/secondary data collected to ensure quality and reliability Communicate study results with a broader internal cross-functional audience Adapt performance metrics and dashboards for RWE projects Support preparation of reports and/or publication materials (e.g., abstracts, manuscripts) Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices Basic Qualifications Masters degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 4+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry OR Bachelors degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution and 6+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry Preferred Qualifications: Masters degree or Doctoral level training in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution 4+ years of oncology research experience highly preferred In-depth knowledge of claims-based RWD (e.g., HealthVerity, Optum) and prior experience of using claims-based RWD in oncology research Experience working with EHRs (e.g., IQVIA, Flatiron) and registry databases Prior experience of using RWD for RWE in regulatory applications, post-marketing studies, and pharmacovigilance Experience with external control arm (ECA) methodologies In-depth understanding of the principles of epidemiologic research methods and statistical concepts in support of the analyses and demonstrated proficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R) Experience in biopharmaceutical industry Excellent verbal, written and presentation skills, including the ability to effectively communicate statistical methodology and analysis results Ability to work independently and collaboratively in a constantly changing, diverse, and matrix environment

About the Company

LanceSoft Inc

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

COMPANY SIZE

2,000 to 2,499 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

2000

WEBSITE

http://www.lancesoft.com/