Remote Real‑World Evidence Data Scientist – Advanced Analytics & Clinical Insights – $26‑35/hr – careerzynith

About careerzynith – Pioneering Health Innovation at Scale

careerzynith is a global leader in integrated health, pharmacy, and retail services, operating thousands of community locations across the United States and its territories. With a heritage spanning more than a century, careerzynith is dedicated to improving lives through better health outcomes, leveraging cutting‑edge technology, and delivering an omnichannel experience that blends physical stores with powerful digital platforms. Our mission is to make health care more accessible, affordable, and personalized for every individual, and we do that by empowering a diverse workforce of innovators, data scientists, clinicians, and technologists.

Why This Role Matters

In the rapidly evolving world of real‑world evidence (RWE), the ability to transform raw health data into actionable insights is a competitive advantage. As a Remote Real‑World Evidence Data Scientist at careerzynith, you will sit at the intersection of data engineering, epidemiology, and strategic decision‑making. Your work will directly influence how biopharmaceutical partners design clinical trials, assess treatment effectiveness, and bring life‑changing therapies to patients faster and more safely.

Key Responsibilities

• Extract, clean, and standardize raw data sets to create reproducible, analysis‑ready patient cohorts from internal data warehouses and external partner feeds.
• Partner with cross‑functional stakeholders—including Clinical Operations, Medical Affairs, and Business Development—to translate complex data into clear, actionable recommendations for RWE studies.
• Design and execute robust statistical analyses that address high‑impact business questions such as unmet medical needs, cost‑effectiveness, safety profiling, and treatment pattern evaluation.
• Develop and maintain a unified data lake that supports downstream analytics, machine‑learning pipelines, and self‑service reporting for internal teams.
• Perform advanced data mining and statistical modeling (e.g., generalized linear models, survival analysis, unsupervised learning) to uncover hidden trends in patient populations and therapeutic outcomes.
• Support the continuous improvement of careerzynith’s real‑world data (RWD) platforms by integrating new data sources, enhancing data quality controls, and adopting emerging analytics technologies.
• Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and regulatory compliance.
• Produce high‑quality, interpretable deliverables—including dashboards, visualizations, and technical reports—for both internal leadership and external partners.
• Conduct due‑diligence assessments of new RWD vendors, evaluating data provenance, completeness, and suitability for specific research objectives.
• Mentor junior analysts and contribute to a culture of data‑driven decision making across the organization.

Essential Qualifications

• Education: Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Mathematics, Engineering, or related field).
• Experience: Minimum of 4 years in a quantitative or computational role, with proven expertise in R, Python, and/or SQL.
• Statistical Expertise: Demonstrated ability to design and execute reproducible statistical analyses for epidemiologic and observational health studies, including familiarity with GLMs, classification, decision trees, clustering, time‑series, and survival analysis.
• Data Management: Hands‑on experience processing large‑scale data from heterogeneous sources, including claims, EMR, and registry datasets.
• Healthcare Knowledge: Experience handling protected health information (PHI) in compliance with HIPAA and other privacy regulations.
• BI Tools: Proficiency with at least one business intelligence platform such as Tableau, Power BI, Alteryx, Spotfire, or similar.

Preferred Qualifications

• Ph.D. or advanced degree in Biostatistics, Epidemiology, Computer Science, Biomedical Engineering, or a related field.
• Deep familiarity with EMR/Health‑IT systems, disease registries, and claims databases.
• Knowledge of clinical data standards and ontologies (ICD‑9/10, SNOMED CT, Read Codes, LOINC).
• Experience with Good Clinical Practice (GCP) and regulatory frameworks (ISO, MDD/MDR, CFR) for real‑world evidence generation.
• Background in experimental design, Bayesian modeling, sequential analysis, or computational genomics.
• Ability to translate complex technical concepts into clear, non‑technical narratives for diverse audiences.

Core Skills & Competencies

• Analytical Rigor: Strong problem‑solving mindset, attention to detail, and commitment to methodological soundness.
• Programming Fluency: Advanced coding skills in R and Python, with the ability to write clean, modular scripts for data pipelines.
• Data Visualization: Ability to craft compelling visual stories that drive insight adoption across business units.
• Collaboration: Proven track record of working effectively with multidisciplinary teams, including clinicians, product managers, and external partners.
• Communication: Excellent written and verbal communication skills; comfortable presenting findings to senior leadership and external stakeholders.
• Self‑Management: Demonstrated success in remote work environments, with strong time‑management and self‑motivation.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As a Remote Real‑World Evidence Data Scientist, you will have access to:

• Mentorship from senior data scientists and industry thought leaders.
• Sponsored certifications in advanced analytics, machine learning, and health‑data standards.
• Opportunities to lead high‑visibility RWE projects that shape the strategic direction of careerzynith’s clinical research collaborations.
• Cross‑functional rotations that broaden exposure to product development, regulatory affairs, and commercial strategy.
• Participation in internal hackathons, data‑science meet‑ups, and industry conferences.

Work Environment & Culture at careerzynith

Our culture is built on three pillars: Innovation, Inclusion, and Impact. We foster an environment where curiosity is encouraged, diverse perspectives are celebrated, and every employee feels empowered to make a difference. Remote team members benefit from flexible work hours, a collaborative virtual workspace, and regular in‑person meet‑ups at regional hubs.

Key cultural highlights include:

• Employee Resource Groups (ERGs) focused on health equity, data ethics, and sustainability.
• Transparent leadership communication through quarterly town halls and open‑door policies.
• Recognition programs that celebrate data‑driven achievements and community contributions.
• Commitment to work‑life balance, with generous paid time off and wellness initiatives.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate ranging from $26 to $35, commensurate with experience and expertise. In addition to base compensation, we provide a comprehensive benefits package that includes:

• Company‑paid life insurance and voluntary personal accident coverage.
• Medical, dental, vision, and prescription drug plans with low employee contributions.
• Retirement savings options, including a 401(k) plan with employer match.
• Employee Stock Purchase Plan (ESPP) allowing you to invest in careerzynith’s future.
• Paid parental leave, paid holidays, and flexible PTO to support family and personal needs.
• Transportation benefit plans and a discount program for careerzynith retail locations.
• Access to continuous learning platforms, wellness resources, and mental‑health support.

How to Apply

If you are passionate about turning real‑world health data into meaningful insights that drive better patient outcomes, we want to hear from you. Join careerzynith’s dynamic analytics team and help shape the future of evidence‑based medicine.

Apply Now – Start Your Journey with careerzynith!