
1001 - 5000 employees
🏥 Healthcare
💊 Pharmaceuticals
☁️ SaaS
💰 Private Equity Round - WCG on 2019-11
Healthcare • Pharmaceuticals • SaaS
WCG is a global clinical research services and technology company that supports sponsors, CROs, research sites, and institutions across the lifecycle of clinical trials. Founded as a leader in independent ethical review, WCG provides IRB and IBC review, data monitoring committees, site enablement and study start-up services, participant recruitment and retention, and data & insights (including benchmarking, statistical consulting, and AI-powered trial foresight). The company also offers a suite of technology platforms (e. g. , ClinSphere®, eReview Manager, Total Enrollment, Total Feasibility) and large protocol and performance datasets to help design, plan, and run trials more efficiently and compliantly. WCG positions itself as a partner to biopharma and medical research organizations to accelerate trial activation, improve enrollment, and ensure regulatory and ethical compliance.
🔥 1 hour ago
Where this job comes from
Posted on WCG's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago

1001 - 5000 employees
🏥 Healthcare
💊 Pharmaceuticals
☁️ SaaS
💰 Private Equity Round - WCG on 2019-11
Healthcare • Pharmaceuticals • SaaS
WCG is a global clinical research services and technology company that supports sponsors, CROs, research sites, and institutions across the lifecycle of clinical trials. Founded as a leader in independent ethical review, WCG provides IRB and IBC review, data monitoring committees, site enablement and study start-up services, participant recruitment and retention, and data & insights (including benchmarking, statistical consulting, and AI-powered trial foresight). The company also offers a suite of technology platforms (e. g. , ClinSphere®, eReview Manager, Total Enrollment, Total Feasibility) and large protocol and performance datasets to help design, plan, and run trials more efficiently and compliantly. WCG positions itself as a partner to biopharma and medical research organizations to accelerate trial activation, improve enrollment, and ensure regulatory and ethical compliance.
• Perform data manipulation, data cleaning, and analytics on data assets • Interact with the business to provide domain expertise and create insights • Discover information in open-source, licensed, and proprietary data to support smarter decisions • Apply data mining techniques, statistical analysis, and prediction systems to existing and future services/products • Select features and build and optimize machine-learning classifiers • Enhance data collection procedures for analytic systems • Independently process, cleanse, and verify data integrity • Conduct ad-hoc analysis and present results clearly • Support development, analysis, interpretation, and presentation of operational data for strategy and planning • Mine data sources and oversee data collection for clinical-trial strategies • Model and forecast feasibility data and other relevant information for evidence-based client deliverables • Prepare clinical-trial operational predictions and forecasts with guidance from clinical operational experts • Support colleagues with programming and visualization needs • Synthesize information from multiple sources to solve data-analysis and delivery problems • Collaborate with cross-functional partners on assigned projects • Perform other duties assigned by the supervisor
• Bachelor’s degree required, preferably in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline from a recognized University or College • 2+ years of progressive relevant work experience in data analytics, market research, and/or data mining in developing feasibility and clinical trial development strategies • At least six months experience analyzing large data sets and applying statistical techniques such as regression, discriminant analysis, cluster analysis, and Bayesian Theory is desired • Practical experience mining, manipulating, and presenting complex scientific data related to clinical research and market analyses • Experience with data visualization tools such as Power BI and Tableau • Experience with machine learning techniques and algorithms • Experience with common data science toolkits such as Python, R, and SQL • Experience with AI integrations • Good applied statistics skills, including distributions, statistical testing, and regression • Good scripting and programming skills • Data-oriented personality • 0%–5% travel required
• Medical, dental, vision, life and disability insurance • 401(k) with company match • Flexible spending accounts • Employee assistance programs • Work/life balance tools • Referral bonuses • Tuition reimbursement • On-the-job training • Certification assistance • Continuing education support • Paid holidays, vacation, and sick time • Career development opportunities across One WCG
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