
1001 - 5000 employees
Founded 1998
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
ClinChoice is a global full-service contract research organization (CRO) established in 1995, specializing in clinical development, post-marketing, and functional service support for the pharmaceutical, biotechnology, and medical devices industries. They provide comprehensive solutions from early clinical development to post-approval lifecycle management, with expertise in a variety of therapeutic areas such as autoimmune and inflammation, dermatology, endocrinology, infectious diseases, neuroscience, and oncology. ClinChoice aims to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. The company supports its clients with clinical, regulatory, and operational expertise across all phases of product development.
🔥 14 hours ago
🇺🇸 United States – Remote
⏳ Contract/Temporary
🟠 Senior
🖥 Software Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 10%
Where this job comes from
Posted on ClinChoice's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on ClinChoice's site. Checked 1 hour ago.

1001 - 5000 employees
Founded 1998
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
ClinChoice is a global full-service contract research organization (CRO) established in 1995, specializing in clinical development, post-marketing, and functional service support for the pharmaceutical, biotechnology, and medical devices industries. They provide comprehensive solutions from early clinical development to post-approval lifecycle management, with expertise in a variety of therapeutic areas such as autoimmune and inflammation, dermatology, endocrinology, infectious diseases, neuroscience, and oncology. ClinChoice aims to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. The company supports its clients with clinical, regulatory, and operational expertise across all phases of product development.
• Lead the development and execution of statistical analysis plans for large-scale real-world evidence studies • Work with cross-functional teams and senior stakeholders to design data-driven solutions for sponsors • Oversee and mentor junior analysts, reviewing work for accuracy, quality, and consistency • Guide the development and optimization of real-world data analytics workflows • Establish trusted relationships with client counterparts and provide strategic insights based on data findings • Develop new tools and automated workflows to improve real-world data analysis • Drive the use of advanced analytics and machine learning to derive actionable insights from large, complex datasets • Create data visualizations, dashboards, and reporting tools for technical and non-technical stakeholders • Improve data management, analysis methodologies, and reporting standards • Contribute to best practices and standard operating procedures • Collaborate with data scientists, epidemiologists, statisticians, and external stakeholders to integrate data from multiple sources and design innovative solutions
• Minimum 4–5 years of experience in RWD analytics, biostatistics, epidemiology, or a related field • At least 3 years in a leadership or consultancy role • Proven experience managing complex observational research projects in life sciences or healthcare, particularly with large health databases such as claims data and EMR • Expertise in SAS programming • Advanced proficiency in SQL, R, Python, and other relevant programming languages such as MATLAB, Hadoop, and Spark • Experience with advanced data visualization tools such as Tableau, Power BI, or D3.js • Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records • Experience applying advanced statistical methods and machine learning techniques to large healthcare datasets • Familiarity with database management, data wrangling, and data integration techniques • Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field
• Career development opportunities • Supportive culture • Continuous training and professional development • Close management and training • Equal opportunity and diversity-focused workplace
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