Experienced Full Stack Data Scientist – Clinical Research and Evidence Generation

At arenaflex, we're on a mission to revolutionize the way we approach clinical research and evidence generation. As a seasoned Data Scientist, you'll play a pivotal role in driving our efforts to create genuine proof (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. Join our team of passionate professionals who are dedicated to making a meaningful impact in the healthcare industry.

About arenaflex

arenaflex is a leading healthcare organization that's committed to delivering innovative solutions that improve patient outcomes and transform the way we approach healthcare. With a strong focus on clinical research and evidence generation, we're constantly pushing the boundaries of what's possible. Our team of experts is passionate about harnessing the power of data science to drive meaningful insights and inform decision-making.

Job Summary

As a Data Scientist on our team, you'll be responsible for leading refined data analysis to address critical business questions. You'll work closely with our Clinical Trials colleagues to extract valuable insights from real-world evidence (RWE) and clinical data sources. Your expertise will be essential in shaping our investigation procedures and driving business growth.

Key Responsibilities

* Mine raw data collections to deliver normalized, analysis-ready patient cohorts from in-house data resources or authorized platforms, analyze and interpret results, and help shape investigation procedures.

• Collaborate with other members of the arenaflex Clinical Trials team to extract significant insights from genuine world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
• Perform data mining and statistical analysis to examine RWE/RWD and uncover new insights regarding patient populations and treatment outcomes.
• Support the development of genuine data, analysis, and stage skills, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations.
• Work together on the design and execution of results research studies.
• Ensure high-quality, thorough, and interpretable expectations from RWE review and examinations.
• Assemble dashboards, analysis, and reports for internal and external use.
• Conduct an expected level of effort on new true data suppliers merchants and drive RWD quality evaluations to inform project decisions.

Essential Capabilities

* 2 years of experience with R, Python, or SQL.

• Experience in designing and executing effective and reproducible statistical analyses regarding the study of disease transmission and observational research with healthcare data.
• Knowledge of standard statistical testing methods including generalized linear models, regression and classification, decision trees, machine learning, time series analysis, and survival analysis.
• Experience handling large data from various data sources.
• Experience managing protected patient health data.
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools.

Preferred Capabilities

* Mastery in EMR/Health IT, disease libraries, and claims data sets.

• Aptitude in clinical data principles, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
• Experience in Good Clinical Practice (GCP) and regulatory compliance rules for genuine proof examinations or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience managing alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology stages and solutions.
• Experience with trial design, Bayesian modeling, sequential data, computational statistics.
• Understanding of analytics and AI strategies, ability to continue self-learning of technical and non-technical skills.

What We Offer

* Competitive hourly rate of $27/hour.

• Flexible part-time schedule with 8 hours of work per week.
• Opportunity to work remotely from the comfort of your own home.
• Collaborative and dynamic work environment with a passionate team of professionals.
• Comprehensive training and development programs to enhance your skills and knowledge.
• Recognition and rewards for outstanding performance and contributions to the team.
• Access to cutting-edge technology and tools to support your work.
• Opportunities for career growth and advancement within the organization.

How to Apply

If you're a motivated and experienced Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Now! Apply for this job