About careerzynith
careerzynith is a global leader in health‑focused retail and innovative pharmaceutical services. With a heritage that dates back over a century, careerzynith has evolved from a traditional pharmacy chain into a data‑driven health ecosystem that empowers patients, providers, and researchers alike. Our mission is to harness real‑world evidence (RWE) to accelerate medical breakthroughs, improve treatment outcomes, and deliver tangible value to the communities we serve. As a remote‑first organization, careerzynith offers flexible work arrangements that enable top talent to thrive from anywhere in the United States while contributing to cutting‑edge clinical research.
Why This Role Matters
In today’s fast‑moving healthcare landscape, the ability to translate raw, heterogeneous data into actionable insights is a competitive advantage. As a Remote Part‑Time Real‑World Evidence Data Scientist at careerzynith, you will be at the heart of our Clinical Research team, turning massive datasets into evidence that shapes drug development, informs regulatory decisions, and guides clinical practice. Your work will directly impact how therapies are evaluated for safety, effectiveness, and cost‑effectiveness across diverse patient populations.
Key Responsibilities
- Data Extraction & Normalization: Mine raw data collections from internal sources (electronic health records, claims databases, registries) and external platforms to create clean, analysis‑ready patient cohorts.
- Advanced Analytics: Conduct sophisticated statistical analyses—including survival modeling, propensity‑score matching, and longitudinal trend evaluation—to answer high‑impact business questions.
- Collaboration with Clinical Teams: Partner with clinicians, epidemiologists, and therapeutic area experts to translate clinical concepts into data‑driven study designs.
- Data Lake Management: Clean, transform, and store data in a structured data lake, ensuring reproducibility and accessibility for downstream research.
- Real‑World Evidence Generation: Perform data mining and factual analysis to uncover new insights on patient populations, treatment pathways, and health‑economic outcomes.
- Methodology Development: Uphold and advance best‑in‑class RWE methodologies, applying advanced research tools to solve complex scientific questions for pharmaceutical partners.
- Study Design & Execution: Contribute to the planning and execution of outcomes research studies, ensuring rigorous protocol development and compliance.
- Quality Assurance: Deliver high‑quality, timely, and interpretable results, maintaining strict standards for data integrity and analytical reproducibility.
- Reporting & Visualization: Build interactive dashboards, detailed reports, and executive‑level presentations for internal stakeholders and external collaborators.
- Vendor Management: Evaluate new data sources and vendors, conduct data quality assessments, and recommend strategic partnerships to enrich careerzynith’s evidence ecosystem.
Essential Qualifications
- Minimum 2 years of hands‑on experience with at least one of the following programming languages: R, Python, or SQL.
- Demonstrated ability to design and execute robust, reproducible statistical analyses focused on disease epidemiology and observational research using healthcare data.
- Strong foundation in statistical testing methods, including regression models, clustering, decision trees, machine learning, time‑series analysis, and survival analysis.
- Experience handling large, multi‑source datasets and ensuring data privacy compliance (HIPAA, GDPR where applicable).
- Proficiency with at least one Business Intelligence (BI) tool such as Tableau, Power BI, Alteryx, Spotfire, or similar platforms for data visualization and reporting.
- Ability to work independently in a remote environment while maintaining clear communication with cross‑functional teams.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Biostatistics, Epidemiology, Health Informatics, Computer Science, or a related field.
- Deep knowledge of EMR/EHR systems, disease registries, and claims data structures.
- Familiarity with clinical terminology and controlled vocabularies (ICD‑9/10, SNOMED CT, Read Codes).
- Experience with Good Clinical Practice (GCP) and regulatory compliance frameworks such as ISO, MDD/MDR, or CFR for real‑world evidence studies.
- Hands‑on experience with advanced analytical techniques: Bayesian modeling, causal inference, natural language processing (NLP) of clinical notes, and predictive analytics.
- Exposure to AI/ML pipelines and a demonstrated commitment to continuous learning of emerging data science technologies.
- Track record of publishing or presenting findings in peer‑reviewed journals or industry conferences.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex datasets, identify patterns, and translate findings into clear, actionable recommendations.
- Communication Excellence: Strong written and verbal skills to convey technical concepts to non‑technical audiences, including senior leadership and external partners.
- Collaboration: Proven teamwork skills, comfortable partnering with clinicians, data engineers, product managers, and external research collaborators.
- Attention to Detail: Rigorous approach to data cleaning, validation, and documentation to ensure reproducibility.
- Ethical Stewardship: Commitment to patient privacy, data security, and ethical use of health information.
- Project Management: Ability to prioritize tasks, meet deadlines, and manage multiple concurrent projects in a part‑time capacity.
Career Development & Learning Opportunities
careerzynith invests heavily in the growth of its talent. As a part‑time member of our Clinical Research team, you will have access to:
- Mentorship from senior scientists and industry experts who have led landmark RWE studies.
- Sponsored certifications (e.g., SAS, AWS, GCP) and tuition reimbursement for advanced degrees.
- Regular internal webinars on emerging topics such as real‑world data integration, AI in healthcare, and regulatory science.
- Opportunities to present your work at national conferences and contribute to peer‑reviewed publications.
- A clear career ladder that can transition from part‑time to full‑time roles, senior analyst, or lead scientist positions based on performance and business needs.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage curiosity, and empower employees to make a difference every day. Remote workers enjoy:
- Flexible scheduling that respects work‑life balance, with an 8‑hour weekly commitment that can be split across days that suit you.
- A collaborative virtual workspace equipped with state‑of‑the‑art communication tools, shared notebooks, and secure data environments.
- Regular virtual “coffee chats,” team‑building activities, and wellness challenges to foster community.
- Access to a comprehensive employee assistance program (EAP) that offers confidential counseling, financial advice, and mental‑health resources.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $27 per hour for this part‑time position, reflecting the specialized expertise required. In addition to base compensation, you may be eligible for:
- Performance‑based bonuses tied to project milestones and research impact.
- Health, dental, and vision insurance options with employer contributions.
- Prescription drug discounts at careerzynith retail locations.
- Retirement savings plans (401(k)) with matching contributions.
- Paid time off (PTO) for holidays, personal days, and sick leave.
- Employee discounts on a wide range of health‑and‑wellness products.
- Professional development funds for conferences, workshops, and certifications.
- Access to a virtual wellness platform offering fitness classes, health screenings, and nutrition coaching.
How to Apply
If you are passionate about turning real‑world data into meaningful evidence and thrive in a flexible, remote environment, we want to hear from you. Join careerzynith’s mission‑driven team and help shape the future of healthcare research.