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Carevive Opt-In Data Programmer - Analyst
Posted 52 mins ago
Carevive OPT-IN , soon-to-be the world's largest repository of cancer patient experience data covering 16 distinct cancer types, is a network of Carevive health system customers collaborating with life sciences to create tumor registries of real-world patient experience data using Carevive's cloud-based technologies.
Work directly with Business Development, Research, Product and IT on the development and implementation of commercial datasets and data reports, requiring analytic programming expertise and hands-on support to Carevive projects across multiple cancer types.
Lead the development of data cleaning efforts and analyses to produce a variety of sample and commercial reports to include analytic tables for post hoc or primary data analysis and implementation including Standard Reporting Systems, and associated tools.
Produce Carevive commercial datasets
Design commercial dataset output requirements and format
Source data reports from IT to be used for ongoing data cleaning and data metrics
Clean data using reports, programming and manual techniques
In collaboration with site account manager, query sites for outliers and missing data
QC final commercial datasets
Deliver final commercial datasets for Carevive customers
Maintain database metrics for growth and quality
Support Business Development/Sales in providing a variety of sample reports to life science customers and prospects
Support Research with programming analytic tables for post hoc or primary data
Provide continuous improvement for all Carevive reports and report processes to meet and exceed industry and regulatory standards
Collaborate with Business Development, Research and IT to design and spec a variety of reports to be used for sales, ongoing data review of our commercial datasets and our commercial report deliverables for our life science sponsors.
Clean datasets using output reports showing data completeness and work with the Research team and our cancer center sites to resolve certain queries.
Maintain metrics of total and completed patients by cancer type.
Process data required for analysis.
Develop coding and table templates for preparing, processing and analyzing data.
Generate and QC summary tables, data listings and graphs for in-house analyses of study data or publications, using standard coding practices.
Create/review programming plan, specifications for datasets and TLFs.
Oversee electronic delivery of commercial datasets to clients on a quarterly basis.
Support data queries - immediate and planned.
Excellent knowledge of SQL.
A minimum of a Bachelor's degree in Computer Science, Mathematics, Statistics, Pharmaceuticals Sciences, Life Sciences and related areas is required. A Masters or PhD is preferred.
A minimum of 3-5 years hands-on relevant career experience in the pharmaceutical, biotech or commercial data delivery settings.
Strong understanding of clinical trial data and extremely hands-on in data manipulations, analysis and reporting of analysis results.
Familiar with data transfers for ongoing studies to identify study conduct or data quality issues.
Excellent oral and written communication skills.
Familiar with CDISC conventions, i.e., SDTM and ADaM models and hands-on experience implementing statistical models.
General experience with real-world data (RWD)
To apply - send resume and salary requirement
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