Experienced Full Stack Data Scientist – Clinical Research and Evidence Generation

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and medical research. As a leading innovator in the industry, we're seeking an exceptional Full Stack Data Scientist to join our Clinical Research and Evidence Generation team. If you're passionate about leveraging cutting-edge data science and technology to drive meaningful insights and discoveries, we want to hear from you.

About arenaflex

arenaflex is a pioneering healthcare company that's dedicated to harnessing the power of data and technology to improve patient outcomes and advance medical research. With a strong commitment to innovation and collaboration, we're shaping the future of healthcare and creating new opportunities for our employees to grow and thrive.

Job Summary

As a Full Stack Data Scientist on our Clinical Research and Evidence Generation team, you'll play a critical role in generating high-quality, evidence-based insights that inform our research and development efforts. You'll work closely with our cross-functional team to design and execute robust data analysis and machine learning models, leveraging your expertise in data mining, statistical analysis, and visualization to drive business decisions and drive innovation.

Key Responsibilities

* Mine crude information datasets to extract normalized, analysis-ready patient data from in-house information resources or authorized platforms, analyze and interpret results, and help shape investigation methodology

• Collaborate with other members of the arenaflex Clinical Research team to generate meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests
• Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization
• Perform data mining and statistical analysis to analyze RWE/RWD and uncover new insights regarding patient populations and treatment outcomes
• Support the development of real-world evidence, analysis, and platform capabilities, applying advanced analysis and tools to resolve logical questions from biopharmaceutical organizations
• Work collaboratively on the design and execution of results research studies
• Ensure high-quality, thorough, and interpretable findings from RWE review and investigations
• Develop dashboards, analysis, and reports for internal and external use
• Conduct a reasonable level of effort on new certified data suppliers vendors and drive RWD quality evaluations to inform project decisions

Essential Capabilities

* Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data

• Knowledge of standard statistical testing methods, including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis
• Experience handling large datasets from various information sources
• Experience handling protected patient health data
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI visualization tools

Preferred Capabilities

* PhD, Graduate degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related field

• Skill in EMR/Health IT, disease registries, and claims data sets
• Ability in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience in Good Clinical Practice (GCP) as well as regulatory compliance rules for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working on alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions
• Experience with experimental design, Bayesian modeling, sequential data, computational statistics
• Understanding of machine learning and AI techniques, ability to continue self-learning of technical and non-technical skills

What We Offer

* Competitive salary and benefits package

• Opportunity to work on cutting-edge projects and collaborate with a talented team of professionals
• Comprehensive training and professional development program
• Flexible work arrangements and remote work options
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance and contributions

How to Apply

If you're a motivated and talented data scientist with a passion for healthcare and medical research, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job