Why careerzynith?
At careerzynith, we are redefining the future of health‑care delivery by blending cutting‑edge technology with deep scientific expertise. With a legacy of more than 170 years serving communities across the United States, careerzynith operates a network of nearly 9,000 retail locations, digital platforms, and a robust clinical research ecosystem. Our mission is simple yet powerful: to improve lives through better health. As a leader in the retail pharmacy and health‑care space, careerzynith invests heavily in real‑world evidence (RWE) to help biopharma partners accelerate drug development, optimize treatment pathways, and reduce health‑care costs. Joining careerzynith means becoming part of a purpose‑driven organization that values innovation, collaboration, and the well‑being of both patients and employees.
Position Overview
We are seeking a highly motivated Remote Real‑World Evidence Data Scientist to join our Clinical Data Science team. In this role, you will design, develop, and execute sophisticated analytics pipelines that transform raw clinical and claims data into actionable insights for drug development and health‑economics research. You will work closely with cross‑functional partners—including clinical trial managers, epidemiologists, biostatisticians, and external biopharma collaborators—to deliver evidence that drives strategic decision‑making.
Key Responsibilities
- Extract, clean, and standardize raw data from internal data warehouses and external sources to create reproducible, analysis‑ready patient cohorts.
- Perform advanced statistical analyses and machine‑learning modeling to answer high‑impact business questions related to unmet medical needs, treatment effectiveness, safety, and cost‑effectiveness.
- Partner with stakeholders across the careerzynith Clinical Trial organization to translate real‑world data (RWD) into meaningful real‑world evidence (RWE) that supports biopharma research programs.
- Develop and maintain a unified data lake that supports downstream analytics, ensuring data integrity, security, and compliance with regulatory standards.
- Design and implement robust analytical frameworks, including generalized linear models, classification and clustering algorithms, decision trees, time‑series analysis, and survival analysis.
- Build interactive dashboards, visualizations, and reports using BI tools (e.g., Tableau, Power BI, Spotfire) to communicate findings to both technical and non‑technical audiences.
- Conduct due‑diligence assessments of new RWD providers, evaluating data quality, completeness, and relevance to inform investment decisions.
- Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and adherence to Good Clinical Practice (GCP) and regulatory guidelines.
- Mentor junior data analysts and contribute to the continuous improvement of careerzynith’s analytics platform and data governance processes.
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 of hands‑on experience in quantitative or computational roles, with a proven track record of delivering analytics in a healthcare or life‑science environment.
- Technical Skills: Proficiency in at least two of the following programming languages or tools: R, Python, SQL.
- Statistical Expertise: Demonstrated ability to design and execute reproducible statistical analyses for epidemiologic and observational studies, including GLMs, classification, decision trees, unsupervised learning, time‑series, and survival analysis.
- Data Management: Experience handling large‑scale datasets from heterogeneous sources, including claims, EMR, disease registries, and other real‑world data assets.
- BI & Visualization: Hands‑on experience with at least one business intelligence platform such as Tableau, Power BI, Alteryx, or Spotfire.
- Communication: Strong written and verbal communication skills, with the ability to translate complex analytical results into clear, actionable insights for diverse audiences.
Preferred Qualifications
- Ph.D. or advanced degree in Biostatistics, Bioinformatics, Computer Science, Biomedical Engineering, or a related discipline.
- Deep familiarity with electronic medical records (EMR), health‑IT systems, and health‑insurance claims databases.
- Knowledge of clinical data standards and ontologies (e.g., ICD‑9/10, SNOMED CT, Read Codes) and experience applying them in data integration projects.
- Experience with regulatory compliance frameworks such as GCP, ISO 13485, MDR, or FDA CFR for real‑world evidence studies.
- Background in experimental design, Bayesian modeling, sequential analysis, or computational genomics.
- Demonstrated ability to work autonomously in a remote environment while maintaining high levels of collaboration and accountability.
Core Skills & Competencies
- Analytical Rigor: Ability to think critically, ask the right questions, and apply rigorous statistical methods to derive trustworthy conclusions.
- Problem‑Solving: Creative approach to tackling ambiguous data challenges and delivering pragmatic solutions.
- Collaboration: Proven experience working in multidisciplinary teams, respecting diverse perspectives, and fostering a culture of shared success.
- Adaptability: Comfort with fast‑changing priorities, emerging technologies, and evolving regulatory landscapes.
- Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Remote RWE Data Scientist, you will have access to:
- Continuous learning stipends for certifications, conferences, and advanced coursework in data science, health economics, and regulatory science.
- Mentorship programs pairing you with senior scientists and industry thought leaders.
- Opportunities to lead high‑visibility projects that influence drug development pipelines and health‑policy decisions.
- Cross‑functional rotations that broaden your expertise across clinical operations, regulatory affairs, and commercial strategy.
- A clear promotion pathway from Analyst to Senior Scientist, Principal Scientist, and eventually Director‑level leadership roles.
Work Environment & Culture at careerzynith
Our remote workforce is supported by a collaborative digital ecosystem that includes virtual labs, secure data environments, and regular team‑wide “science cafés” where ideas are exchanged freely. careerzynith champions a culture of inclusion, where diverse backgrounds are celebrated and every voice matters. We encourage work‑life balance, offering flexible schedules, generous paid time off, and resources to support mental and physical well‑being.
Compensation, Perks & Benefits
- Competitive Hourly Rate: $26‑35 /hr, commensurate with experience and expertise.
- Health & Wellness: Company‑paid medical, dental, vision, and prescription coverage.
- Life & Accident Insurance: Company‑paid life insurance and optional personal accident coverage.
- Retirement Savings: 401(k) plan with employer match and an employee stock purchase plan.
- Paid Time Off: Generous PTO, holidays, and paid parental leave.
- Transportation Benefits: Stipends for commuting or remote‑work home‑office setup.
- Employee Discounts: Access to careerzynith store discounts and wellness programs.
- Continuous Learning: Tuition reimbursement, certification support, and internal training resources.
How to Apply
If you are passionate about turning complex health data into meaningful evidence and want to make a tangible impact on patient outcomes, we want to hear from you. Click the link below to submit your application and become part of careerzynith’s innovative RWE team.
Apply Now – Join careerzynith!
Closing Statement
careerzynith is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Your expertise, curiosity, and dedication will help us advance the science of real‑world evidence and shape the future of health care. Take the next step in your career—apply today and help us build a healthier tomorrow.
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