Why careerzynith?
careerzynith is a global leader in health‑focused retail and pharmacy services, operating thousands of community locations across the United States and its territories. With a legacy of more than 170 years, careerzynith combines deep‑rooted community presence with cutting‑edge digital technology to deliver an omnichannel experience that puts patients and customers at the center of every decision. As the healthcare landscape evolves, careerzynith is investing heavily in real‑world evidence (RWE) to accelerate drug development, improve therapeutic outcomes, and drive cost‑effective care. Joining careerzynith means becoming part of a purpose‑driven organization that is dedicated to creating healthier lives through innovative data science.
Position Overview
The Remote Real‑World Evidence (RWE) Data Scientist will be a pivotal member of careerzynith’s Scientific Affairs team, responsible for turning complex, multi‑source health data into actionable insights that shape clinical trial strategies and inform biopharma partners. Working from anywhere in the United States, you will apply advanced analytics, statistical modeling, and data engineering techniques to generate high‑impact evidence that supports drug development, safety monitoring, and health‑economics assessments.
Key Responsibilities
- Extract, clean, and harmonize raw data sets from internal data warehouses, electronic health records (EHR), claims databases, and external real‑world data (RWD) sources to create standardized, analysis‑ready patient cohorts.
- Design and execute robust statistical analyses—including generalized linear models, survival analysis, machine learning classification, clustering, and time‑series forecasting—to answer critical business questions around unmet medical needs, treatment effectiveness, and cost‑utility.
- Partner closely with cross‑functional stakeholders—including clinical operations, epidemiology, health economics, and external biopharma collaborators—to translate analytical findings into strategic recommendations.
- Develop and maintain a unified data lake architecture that supports scalable analytics, reproducibility, and secure data sharing across the organization.
- Build interactive dashboards, visual reports, and executive‑level presentations using Tableau, Power BI, or similar BI tools to communicate insights to both technical and non‑technical audiences.
- Lead the design and implementation of real‑world evidence studies, including protocol development, data source selection, and statistical analysis plans.
- Conduct due‑diligence assessments of new RWD vendors, evaluating data quality, provenance, and regulatory compliance to inform partnership decisions.
- Ensure all deliverables meet the highest standards of scientific rigor, reproducibility, and regulatory compliance (e.g., GCP, ISO, CFR).
- Mentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence.
Essential Qualifications
- Education: Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Mathematics, Epidemiology, or related field).
- Experience: Minimum of four years of professional experience in quantitative or computational roles, with a proven track record of delivering statistical analyses in healthcare or life‑science settings.
- Technical Skills: Proficiency in at least two of the following programming languages or environments: R, Python, SQL.
- Statistical Expertise: Hands‑on experience designing and executing reproducible analyses for observational studies, including familiarity with GLMs, classification & discrimination methods, decision trees, unsupervised learning, time‑series analysis, and survival analysis.
- Data Management: Demonstrated ability to work with large, heterogeneous data sets from multiple sources, ensuring data integrity, privacy, and compliance with HIPAA and other regulations.
- BI Tools: Experience with Tableau, Power BI, Alteryx, Spotfire, or comparable business intelligence platforms for data visualization and dashboard creation.
- Communication: Strong written and verbal communication skills, with the ability to translate complex analytical concepts into clear, actionable insights for diverse audiences.
Preferred Qualifications
- Ph.D. or advanced degree in Biostatistics, Epidemiology, Biomedical Engineering, or a related quantitative field.
- Experience working with electronic medical records (EMR), health‑IT systems, disease registries, and claims databases.
- Familiarity with medical coding standards and ontologies such as ICD‑9/10, SNOMED CT, and Read Codes.
- Knowledge of Good Clinical Practice (GCP) and regulatory frameworks governing real‑world evidence generation (e.g., ISO 14155, FDA RWE guidance).
- Hands‑on experience with Bayesian modeling, sequential analysis, and experimental design for clinical research.
- Exposure to cloud‑based data platforms (AWS, Azure, GCP) and big‑data processing tools (Spark, Hadoop, Snowflake).
- Demonstrated ability to lead cross‑functional projects and influence decision‑making at senior leadership levels.
Core Skills & Competencies
- Analytical Rigor: Ability to apply rigorous statistical methodology while maintaining flexibility to adapt to evolving data landscapes.
- Problem‑Solving Mindset: Proactive approach to identifying knowledge gaps and designing innovative analytical solutions.
- Collaboration: Strong teamwork orientation, comfortable partnering with clinicians, epidemiologists, health economists, and external partners.
- Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.
- Continuous Learning: Enthusiasm for staying current with emerging analytics techniques, regulatory changes, and industry best practices.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its data science talent. As a Remote RWE Data Scientist, you will have access to:
- Mentorship from senior scientists who have led high‑impact RWE programs for global biopharma partners.
- Sponsored certifications in advanced analytics platforms (e.g., SAS, AWS Machine Learning, Tableau Server).
- Opportunities to present findings at industry conferences and publish in peer‑reviewed journals.
- Cross‑training programs that expose you to health economics, outcomes research, and regulatory affairs.
- A clear career ladder that can lead to senior scientist, principal investigator, or analytics leadership roles within careerzynith’s expansive research ecosystem.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate ranging from $26 to $35, reflective of experience and expertise. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:
- Company‑paid life insurance and voluntary personal accident coverage.
- Medical, prescription drug, dental, and vision plans with generous employer contributions.
- Retirement savings options, including a 401(k) plan with matching contributions.
- Employee Stock Purchase Plan (ESPP) allowing you to invest in careerzynith’s future growth.
- Paid Time Off (PTO), holidays, and paid parental leave to support work‑life balance.
- Transportation benefit plans and employee store discounts for in‑person purchases.
- Access to wellness programs, virtual fitness classes, and mental‑health resources.
Work Environment & Culture at careerzynith
Even though this role is fully remote, careerzynith fosters a collaborative, inclusive, and purpose‑driven culture. Employees are encouraged to:
- Participate in virtual “innovation sprints” where cross‑functional teams solve real‑world challenges.
- Join employee resource groups that celebrate diversity, equity, and inclusion.
- Engage in regular town‑hall meetings with senior leadership to stay aligned with the company’s mission.
- Benefit from flexible work schedules, ergonomic home‑office stipends, and reliable IT support.
- Contribute to community outreach initiatives that improve health access in underserved neighborhoods.
Application Process
If you are passionate about leveraging data to improve patient outcomes and thrive in a fast‑moving, data‑rich environment, careerzynith wants to hear from you. To apply, please submit your resume, a cover letter highlighting your most relevant RWE experience, and any supporting work samples (e.g., dashboards, analysis scripts).
Our recruitment team will review applications on a rolling basis and reach out to qualified candidates for a virtual interview series that includes technical assessments, case‑study discussions, and cultural fit conversations.
Take the Next Step
Join careerzynith’s mission‑driven analytics team and help shape the future of healthcare through real‑world evidence. Your expertise will directly influence drug development pipelines, improve therapeutic decisions, and ultimately create healthier communities. Apply today and become a catalyst for change.
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