Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Clinical Trials

Join arenaflex in Revolutionizing Healthcare through Data-Driven Insights

Are you a data enthusiast with a passion for driving business decisions through cutting-edge analytics? Do you want to be part of a dynamic team that's shaping the future of healthcare? Look no further! arenaflex is seeking an experienced Full Stack Data Scientist to join our Clinical Trials team, where you'll play a pivotal role in producing high-quality Real-World Evidence (RWE) and driving business growth through data-driven insights.

About arenaflex

arenaflex is a leading healthcare company that's dedicated to improving patient outcomes through innovative solutions. With a strong presence in the market, we're committed to staying at the forefront of healthcare technology and research. Our team of experts is passionate about leveraging data science to drive business decisions, and we're looking for talented individuals like you to join our mission.

Job Summary

As a Full Stack Data Scientist at arenaflex, you'll be responsible for producing high-quality RWE through advanced analysis and creative methodologies in the clinical trials space. You'll work closely with our Clinical Trials team to develop innovative solutions that drive business growth and improve patient outcomes. This is an exciting opportunity to join a dynamic team and make a meaningful impact in the healthcare industry.

Key Responsibilities

* Data Mining and Analysis: Mine crude information datasets to extract normalized, analysis-ready patient companions from in-house information resources or authorized stages, analyze and interpret results, and help shape investigation methodology.

• Collaboration and Communication: Collaborate with different members of the arenaflex Clinical Trials team to convey meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• Data Cleaning and Storage: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization.
• Data Mining and Statistical Analysis: Perform data mining and statistical analysis to examine RWE/RWD and uncover new insights regarding patient populations and treatment results.
• Results Research Studies: Work together on the design and execution of results research studies to drive business growth and improve patient outcomes.
• Dashboard Development: Develop dashboards, analysis, and reports for internal and external use to support business decisions.
• Certified Data Quality: Conduct a reasonable level of effort on new certified data suppliers, sellers, and drive RWD quality evaluations to inform project decisions.

Essential Capabilities

* Experience in Data Analysis: Experience in planning and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.

• Familiarity with Statistical Testing Methods: Knowledge of common statistical testing methods, including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Handling Large Datasets: Experience handling large datasets from various information sources.
• Handling Protected Patient Data: Experience handling safeguarded patient wellbeing data.
• Familiarity with BI Tools: Familiarity with at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools.

Preferred Capabilities

* Advanced Degree: PhD, Graduate degree in statistics/biostatistics, software engineering, mathematics, systems engineering, biomedical engineering, or related field.

• EMR/Health IT Experience: Skill in EMR/Health IT, disease registries, and claims data sets.
• Clinical Data Standards: Ability in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
• GCP and Regulatory Experience: Experience in Good Clinical Practice (GCP) as well as administrative compliance rules for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Alternative Data Sources: Experience working on alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology stages and solutions.
• Exploratory Plan and Bayesian Modeling: Experience with exploratory plan, Bayesian modeling, sequential data, computational insights.
• Insights and AI Techniques: Understanding of insights and AI techniques, ability to continue self-learning of technical and non-technical skills.

What We Offer

* Competitive Salary: $26/hour

• Remote Work Opportunities: Work from the comfort of your own home or office
• Opportunities for Growth: Career growth opportunities and learning benefits to help you advance in your career
• Collaborative Work Environment: Collaborative work environment with a dynamic team of experts
• Comprehensive Benefits: Comprehensive benefits package, including health, dental, and vision insurance, 401(k) matching, and paid time off

How to Apply

If you're a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion. Apply for this job