Remote Part Time Data Scientist – Real World Evidence & Healthcare Analytics

About arenaflex

arenaflex stands at the intersection of healthcare innovation and advanced data science, partnering with biopharmaceutical leaders, clinical research organizations, and public health stakeholders to transform how medical evidence is generated, validated, and applied. Operating in the rapidly expanding field of real-world evidence (RWE) and real-world data (RWD), arenaflex leverages cutting-edge analytics, machine learning, and domain expertise to deliver insights that shape treatment strategies, inform policy decisions, and ultimately improve patient outcomes across the United States and beyond.

Our remote-first team is composed of passionate scientists, engineers, and healthcare professionals who thrive on solving complex problems with data. We believe that meaningful healthcare transformation begins with rigorous analysis, transparent methodology, and a relentless commitment to scientific integrity. If you are looking to join an organization where your analytical skills directly influence the future of medicine—and where flexibility, intellectual curiosity, and purpose-driven work are core values—arenaflex is the place for you.

Position Summary

arenaflex is hiring a Part Time Data Scientist specializing in Real World Evidence to join our Scientific Affairs team. This is a fully remote opportunity based in New York, USA, offering a competitive hourly rate of $27/hour. The role is structured around an 8-hour work schedule, providing the ideal balance for professionals seeking meaningful, high-impact work without the constraints of a traditional full-time commitment.

As a key member of our Scientific Issues team, you will lead sophisticated analyses that address critical business and clinical questions. Your work will directly influence internal decision-making and external partnerships, helping biopharmaceutical clients unlock insights from real-world, clinical, and other healthcare data sources. This position reports to the Chief of Clinical Data Science and offers a unique opportunity to apply advanced analytics within the clinical trials and RWE domains.

Key Responsibilities

• Data Mining and Preparation: Mine raw datasets to deliver standardized, analysis-ready patient cohorts from internal data assets and licensed platforms. Analyze and interpret results to shape analytical strategy and ensure data quality.
• Cross-Functional Collaboration: Partner with members of the arenaflex Clinical Trial team to deliver meaningful insights from real-world, clinical, and supplementary data sources. Support biopharmaceutical RWE and clinical trial requests, including analysis of unmet needs, safe and effective treatment patterns in specific disease states, treatment pathways, healthcare financial burden, and cost-effectiveness modeling.
• Data Engineering and Lake Management: Clean, transform, and store data into a unified data lake for future analysis and broader team consumption, ensuring data integrity and accessibility.
• Statistical Analysis and Insight Generation: Perform data mining and statistical analyses on RWE and RWD to discover new insights regarding patient populations and treatment outcomes.
• Platform and Capability Development: Support the development of real-world data, analytics, and platform capabilities by applying advanced analytics and tools to address scientific questions from biopharmaceutical organizations.
• Outcomes Research Design: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and relevance.
• Quality Assurance and Reporting: Ensure high-quality, comprehensive, and readily interpretable outputs from RWE studies and analyses. Build dashboards, analytics, and reports for both internal and external stakeholders.
• Vendor and Data Source Evaluation: Conduct due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform enterprise decisions.

Essential Qualifications

• Bachelor's degree in Data Science, Statistics, Biostatistics, Epidemiology, Computer Science, Health Informatics, or a related quantitative discipline.
• Minimum of 2 years of hands-on experience using R, Python, or SQL for data analysis and modeling.
• Experience designing and executing robust, reproducible statistical analyses within the context of epidemiology and observational research using healthcare data.
• Solid knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Demonstrated experience processing large datasets from multiple data sources.
• Experience handling protected patient health information (PHI) in compliance with applicable regulations.
• Familiarity with at least one of the following business intelligence tools: Tableau, Power BI, Alteryx, Spotfire, or comparable platforms.

Preferred Qualifications

• Expertise in EMR/Health IT systems, disease registries, and insurance claims databases.
• Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9, ICD-10, ReadCode).
• Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience working with alternative data sources and innovative methods of clinical data collection, particularly those enabled by technology platforms and partnerships.
• Experience with experimental design, Bayesian modeling, sequential data, and computational statistics.
• Strong understanding of statistical and machine learning techniques, with a demonstrated ability to pursue continuous self-learning of both technical and non-technical skills.

Skills and Competencies for Success

Success in this role requires more than technical proficiency. The ideal candidate combines analytical rigor with exceptional communication skills, translating complex statistical findings into clear, actionable insights for both technical and non-technical audiences. You should be comfortable working independently in a remote environment while also contributing meaningfully to a collaborative, cross-functional team. Strong organizational skills, attention to detail, and a commitment to data quality and reproducibility are essential. A genuine passion for healthcare, patient outcomes, and the responsible application of data science will set you apart.

Career Growth and Learning Opportunities

At arenaflex, professional development is woven into our culture. Even as a part-time team member, you will have access to mentorship from senior data scientists and clinical experts, opportunities to lead discrete project workstreams, and exposure to high-impact studies that influence the broader healthcare landscape. We invest in our people through sponsored certifications, conference attendance, internal knowledge-sharing sessions, and a structured learning framework designed to help you expand both your technical toolkit and your domain expertise. Many of our part-time professionals have grown into full-time leadership roles as our organization continues to scale.

Work Environment and Company Culture

arenaflex embraces a flexible, remote-first work model that empowers team members to do their best work from anywhere. Our culture is built on trust, transparency, and a shared mission to advance healthcare through evidence-based insights. We celebrate diversity of thought and background, recognizing that the best solutions emerge when multidisciplinary teams collaborate openly. Regular virtual team-building events, wellness initiatives, and community outreach programs help foster connection and purpose across our distributed workforce. You will join a company that values balance, autonomy, and the human side of data science.

Compensation, Perks, and Benefits

We offer a competitive hourly rate of $27/hour, commensurate with experience and qualifications. Part-time team members at arenaflex enjoy:

• Fully remote work with flexible scheduling
• Access to professional development resources and learning stipends
• Generous paid time off aligned with part-time status
• Comprehensive health, dental, and vision insurance options
• 401(k) retirement savings plan with company match eligibility
• Mental health and wellness support programs
• Collaborative team environment with regular check-ins and support

How to Apply

If you are a data scientist with a passion for healthcare, a strong foundation in statistical analysis, and a desire to make a tangible impact through real-world evidence, arenaflex wants to hear from you. This is more than a job—it is an opportunity to contribute to work that matters, alongside a team that values your expertise and invests in your growth. Bring your curiosity, your analytical mindset, and your commitment to scientific excellence. Join arenaflex and help us shape the future of healthcare, one dataset at a time. Apply today and take the next step in your data science career.