Why careerzynith? At careerzynith , we are redefining the future of healthcare by blending cutting‑edge data science with a deep commitment to patient‑centered outcomes. As a global leader in retail pharmacy and health services, careerzynith operates thousands of community locations and a robust digital platform that reaches millions of customers every day. Our mission is simple yet ambitious to improve lives through better health. By joining our team, you become part of a purpose‑driven organization that values innovation, collaboration, and continuous learning. Whether you are analyzing real‑world evidence (RWE) from electronic health records or shaping the next generation of clinical trial insights, your work will have a tangible impact on the health of communities worldwide. Position Overview The Remote Real‑World Evidence Data Scientist role sits at the intersection of advanced analytics, clinical research, and strategic decision‑making. Reporting to the Director of Clinical Data Science, you will lead the design, execution, and communication of data‑driven studies that inform drug development, therapeutic effectiveness, and health‑economic evaluations. This is a fully remote position, offering flexibility while providing access to careerzynith’s extensive data assets, state‑of‑the‑art analytics platforms, and a collaborative network of clinicians, biopharma partners, and data engineers. Key Responsibilities Extract, clean, and transform raw patient‑level data from internal warehouses and external sources into standardized, analysis‑ready cohorts. Design and implement robust statistical analyses to answer high‑impact business questions, including unmet‑need assessments, safety and efficacy evaluations, and cost‑effectiveness modeling. Partner with cross‑functional stakeholders—clinical operations, epidemiology, biopharma collaborators, and health‑economics teams—to translate complex data into actionable insights. Develop and maintain a unified data lake that supports both exploratory research and production‑grade analytics, ensuring data integrity, security, and compliance with regulatory standards. Apply advanced machine‑learning techniques (e.g., classification, clustering, time‑series analysis) to uncover hidden patterns in real‑world data (RWD) that drive therapeutic innovation. Lead the creation of interactive dashboards, visual reports, and executive‑level presentations using BI tools such as Tableau, Power BI, or Spotfire. Conduct due‑diligence assessments of new data vendors, evaluating data quality, provenance, and suitability for RWE studies. Support the continuous improvement of careerzynith’s analytics platform by recommending new tools, methodologies, and automation opportunities. Ensure all deliverables meet the highest standards of scientific rigor, reproducibility, and clear communication for both internal and external audiences. Stay abreast of emerging trends in health data science, regulatory guidance, and industry best practices to keep careerzynith at the forefront of RWE innovation. 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 in a quantitative or computational role, with proven expertise in R, Python, or SQL for data manipulation and analysis. Statistical Expertise Demonstrated ability to design and execute reproducible statistical analyses for observational studies, including generalized linear models, classification, decision trees, unsupervised learning, time‑series, and survival analysis. Data Management Hands‑on experience processing large‑scale datasets from heterogeneous sources, and familiarity with protected health information (PHI) handling and HIPAA compliance. BI Proficiency Working knowledge of at least one business‑intelligence platform (Tableau, Power BI, Alteryx, Spotfire, or similar) for dashboard development and data storytelling. Communication Skills Ability to translate technical findings into clear, concise narratives for non‑technical stakeholders, including senior leadership and external partners. Preferred Qualifications Ph.D. or advanced Master’s degree in Biostatistics, Bioinformatics, Biomedical Engineering, or a related discipline. Experience with electronic medical records (EMR), health‑IT systems, disease registries, and claims databases. Familiarity with clinical data standards and ontologies such as ICD‑9/10, SNOMED CT, LOINC, and Read Codes. Knowledge of Good Clinical Practice (GCP) and regulatory frameworks (e.g., ISO, MDD/MDR, CFR) relevant to real‑world evidence generation. Hands‑on experience with real‑time data pipelines, streaming analytics, and AI‑enabled data capture technologies. Background in experimental design, Bayesian modeling, sequential analysis, and computational genomics. Demonstrated ability to self‑direct learning, stay current with evolving data‑science techniques, and mentor junior analysts. Core Skills & Competencies Analytical Rigor Strong problem‑solving mindset with a focus on methodological soundness and reproducibility. Programming Fluency Proficiency in R and Python (pandas, NumPy, scikit‑learn) and SQL for data extraction and transformation. Data Visualization Ability to craft compelling visual narratives that drive decision‑making. Collaboration Comfortable working in multidisciplinary teams, bridging the gap between data science and clinical expertise. Regulatory Awareness Understanding of privacy, security, and compliance considerations in handling health data. Business Acumen Insight into how RWE informs drug development pipelines, market access strategies, and health‑economic outcomes. 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 and industry experts who have led landmark RWE studies. Sponsored certifications (e.g., Certified Health Data Analyst, SAS Advanced Analytics) and tuition reimbursement for advanced degrees. Regular internal “Data Science Days” where teams share innovative methodologies, case studies, and emerging tools. Opportunities to present findings at leading conferences such as ISPOR, DIA, and AMIA, enhancing your professional visibility. A clear promotion pathway from Analyst → Senior Scientist → Principal Scientist → Analytics Lead, with defined performance metrics. Work Environment & Culture at careerzynith Our remote workforce thrives on a culture of trust, autonomy, and inclusivity. careerzynith promotes Flexibility Choose your own work hours within a global framework, enabling work‑life harmony. Collaboration Virtual “coffee chats,” cross‑functional hackathons, and regular town‑hall meetings keep teams connected. Diversity & Inclusion A commitment to building a workforce that reflects the communities we serve, with employee resource groups and inclusive policies. Well‑Being Access to mental‑health resources, virtual fitness classes, and wellness stipends. Innovation A sandbox environment where you can experiment with new analytics tools, cloud platforms, and AI techniques without bureaucratic delay. Compensation, Perks & Benefits careerzynith offers a competitive hourly rate ranging from $26 to $35, commensurate with 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, dental, vision, and prescription drug plans with generous employer contributions. Retirement savings options, including a 401(k) plan with matching contributions. Employee Stock Purchase Plan (ESPP) allowing you to become a shareholder in careerzynith. Paid Time Off (PTO), holidays, and paid parental leave to support family milestones. Transportation benefit plans and a discount program for careerzynith retail locations. Continuous learning stipend for conferences, courses, and professional memberships. How to Apply If you are passionate about turning real‑world health data into actionable insights and thrive in a remote, collaborative environment, we want to hear from you. To submit your application, please click the link below, upload your resume and a concise cover letter outlining your relevant experience, and complete the short questionnaire. Apply Now – Join careerzynith’s RWE Team! Take the Next Step At careerzynith, your analytical expertise will directly influence the development of safer, more effective therapies and shape the future of health‑care delivery. Join a forward‑thinking organization where data science is not just a function—it’s a catalyst for change. Apply today and become part of a team that turns data into better health outcomes for millions of people. Apply for this job