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