To Apply for this Job Click Here
Remote, 12-month contract with potential to extend
RWD Analyst - RWE Quantitative Methodologist
As a member of the core RWE Generation Innovation Unit, individuals will have access to real-world databases and contribute to methodologic projects using real-world data (RWD).
The incumbent will help design and conduct statistical analyses of RWD, validation of RWD-based phenotype algorithms, and produce data visualizations and TFLs for internal review and external presentations and publications.
The individual will conduct timely, relevant and rigorous analysis of RWD to address critical methodologic questions, as well as collaborate with epidemiologists and other scientists to develop, refine, and scale analytics procedures, systems, workflows, and best practices.
Key Responsibilities
- Co-develop study protocols and analysis plans to answer methodologic questions of priority to RWE scientists
- In collaboration with epidemiology and safety colleagues, evaluate phenotype algorithms for key variables in RWE studies and plan validation studies as needed
- In support of methodologic projects, construct cohorts using in-house RWD sources (claims and / or EHR)
- Conduct analyses for descriptive and comparative research using RWD for methodologic research questions
- Co-develop, test, and clearly document analytic pipelines for use by RWD programmers
- Coauthor abstracts and manuscripts for external dissemination of methodologic study results Knowledge, Skills and Experience
Required
PhD in Epidemiology, Biostatistics, Health Economics, or related discipline with a minimum of two (2) years of relevant post-doctoral experience.
MS plus six (6) years of experience in lieu of PhD may be acceptable.
- Demonstrated proficiency in statistical analysis using R, SAS, and SQL
- Understanding of epidemiology and the application of retrospective or prospective studies to generate publishable and regulatory-grade RWE
- Knowledge of common US RWD sources used in pharmacoepidemiology
- Strong track record of analysis of real-world data (RWD), including claims and EHR data Desired
- Experience with international data sources
- Understanding of the quantitative validation of phenotype algorithms that use diagnosis and procedure codes and other variables found in RWD
- Experience in pharmacoepidemiology research study design, execution and communication
- Experience submitting results of treatment effect estimation studies (from RCT or RWE) to regulatory agencies
- Experience writing protocols and statistical analysis plans in the pharmaceutical industry for descriptive and complex studies in RWD
To Apply for this Job Click Here
RWD Analyst - RWE Quantitative Methodologist
A company is looking for a RWD Analyst - RWE Quantitative Methodologist. ...
RWD Analyst
RWD Analyst - RWE Quantitative Methodologist . The incumbent will help design and conduct statistical analyses of RWD, validation of RWD-based phenotype algorithms, and produce data visualizations and TFLs for internal review and external presentations and publications. As a member of the core RWE G...
Sr Data Engineer US Remote
Data Engineer, US RemoteKey Responsibilities:Collaborate with data scientists and machine learning engineers to integrate and optimize applications of large language modelsImplement best practices for data processing, management, and troubleshooting related issuesExplore novel technologies to enhanc...
Senior Software Development Engineer - Data
The Data Platform team works on building data infrastructures and data products to support business engineering teams at TikTok. As a Software Development Engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Est...
Lead Data Engineer
We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Op...
Data Engineer - Pharma Domain
Job Title: Data Engineer - Pharma Domain. Experience with Semantic Layer technologies• Experience with data modeling, performance tuning, and experience on relational and graph databases. Experience working with Apache Spark, Apache Airflow• Hands-on development experience with Databricks•. Experien...
Staff Data Scientist, Marketing Applied Sciences
The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and ...
Data Scientist
Job Summary:We are seeking an accomplished and forward-thinking Data Scientist to join our dynamic team in a hybrid capacity in Norco, CA! In this role, you will play a crucial part in advancing our data analysis capabilities by merging and optimizing various data sources to enhance and automate rep...
Sr. Data Scientist
Data Strategy: Contribute to the development and implementation of data strategies that ensure the scalability, security, and integrity of our data processes and architectures. POSITION SUMMARYWe are seeking a Senior Data Scientist to join our Research & Development team. As a Senior Data Scientist,...
Senior Product Data Scientist
The Role:As a Product Data Scientist in the Product Analytics & Data Sciences team, you will play a key role in developing and communicating data-informed insights that will help with strategic and tactical decision-making in a hyper-growth environment. Product Analytics Engineer / Data Scientist or...