About careerzynith – Pioneering Health Innovation

careerzynith is a leading global health‑focused organization that blends retail pharmacy expertise with cutting‑edge clinical research. With a heritage that spans more than a century, careerzynith has evolved from a community pharmacy chain into a data‑driven powerhouse that partners with pharmaceutical manufacturers, health‑care providers, and technology innovators to unlock the value of real‑world evidence (RWE). Our mission is to improve patient outcomes by turning everyday health data into actionable insights that shape the future of medicine.

Why This Role Matters

In today’s fast‑moving health‑care landscape, the ability to generate credible, real‑world evidence is a competitive advantage. As a Part‑Time Real‑World Evidence Data Scientist at careerzynith, you will be at the heart of this transformation. You will collaborate with multidisciplinary teams to extract, clean, analyze, and interpret massive clinical data sets, delivering insights that inform drug development, health‑policy decisions, and patient‑centric care strategies. This is a remote, flexible position offering a competitive hourly rate of $27, perfect for professionals seeking meaningful impact without sacrificing work‑life balance.

Key Responsibilities

• Data Mining & Extraction: Identify and retrieve raw data from internal careerzynith repositories and external licensed platforms, converting it into normalized, analysis‑ready patient cohorts.
• Data Cleaning & Curation: Apply rigorous data‑quality procedures to cleanse, transform, and store information in a structured data lake, ensuring compliance with privacy regulations.
• Advanced Analytics: Conduct statistical and machine‑learning analyses (using R, Python, or SQL) to uncover patterns related to disease progression, treatment effectiveness, and health‑care utilization.
• Collaboration with Clinical Teams: Partner with careerzynith Clinical Research scientists to translate real‑world findings into actionable recommendations for pharmaceutical partners.
• Report & Dashboard Development: Build interactive visualizations and executive‑level dashboards using Power BI, Tableau, Alteryx, or Spotfire to communicate results clearly to internal and external stakeholders.
• Methodology Innovation: Contribute to the evolution of careerzynith’s RWE methodology by integrating emerging analytical techniques and platform capabilities.
• Regulatory & Quality Assurance: Ensure all analyses adhere to Good Clinical Practice (GCP), ISO, and other regulatory standards, maintaining high‑quality documentation for audit readiness.
• Vendor & Data Source Management: Evaluate new real‑world data vendors, conduct data‑quality assessments, and recommend strategic data acquisition decisions.
• Knowledge Sharing: Mentor junior analysts, lead internal workshops, and disseminate best practices across the careerzynith analytics community.

Essential Qualifications

• Minimum 2 years of hands‑on experience with at least one of the following: R, Python, or SQL.
• Demonstrated ability to design and execute reproducible statistical analyses focused on disease epidemiology and observational health‑care research.
• Proficiency in core statistical methods, including regression modeling, clustering, decision trees, machine learning, time‑series analysis, and survival analysis.
• Experience handling large, heterogeneous data sets from multiple sources (e.g., claims, EMR, registries).
• Familiarity with protected health information (PHI) handling and compliance with HIPAA and GDPR standards.
• Working knowledge of at least one Business Intelligence tool such as Power BI, Alteryx, Spotfire, or Tableau.
• Strong communication skills, with the ability to translate complex analytical results into clear, actionable insights for both technical and non‑technical audiences.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Biostatistics, Epidemiology, Health‑Informatics, Computer Science, or a related field.
• Expertise in electronic medical records (EMR) systems, health‑IT standards, and claims data structures.
• Knowledge of clinical terminologies and ontologies such as ICD‑9/10, SNOMED CT, and Read Codes.
• Experience with Good Clinical Practice (GCP) and regulatory compliance frameworks (ISO, MDD/MDR, CFR).
• Background in clinical trial design, Bayesian modeling, or advanced predictive analytics.
• Familiarity with AI/ML pipelines and a demonstrated ability to self‑direct learning in emerging analytical techniques.

Core Skills & Competencies

• Analytical Rigor: Ability to think critically, formulate hypotheses, and apply appropriate statistical methods.
• Technical Proficiency: Strong coding skills in R/Python, SQL query optimization, and data‑visualization best practices.
• Domain Knowledge: Understanding of health‑care delivery, pharmacology, and the regulatory environment surrounding real‑world evidence.
• Collaboration: Proven track record of working effectively within cross‑functional teams, including clinicians, data engineers, and business stakeholders.
• Communication: Clear, concise writing and presentation abilities; experience preparing technical reports, scientific manuscripts, and executive summaries.
• Adaptability: Comfort with a fast‑paced, remote work setting and the flexibility to manage shifting priorities.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its talent. As a part‑time RWE Data Scientist, you will have access to:

• Mentorship from senior scientists and data leaders who have published in top medical journals.
• Sponsored certifications in data science, health‑informatics, and regulatory affairs.
• Opportunities to present findings at industry conferences and contribute to peer‑reviewed publications.
• Pathways to transition into full‑time roles, project leadership, or specialized analytics tracks within careerzynith.
• Cross‑training programs that expose you to emerging technologies such as cloud‑based data platforms, natural language processing, and federated learning.

Work Environment & Culture at careerzynith

Our remote workforce thrives on a culture of curiosity, collaboration, and impact. Key aspects of the careerzynith environment include:

• Flexibility: Choose your own schedule within the 8‑hour weekly commitment, allowing you to balance personal responsibilities with professional growth.
• Inclusive Community: A diverse, global team that values different perspectives and encourages open dialogue.
• Innovation‑Driven: Access to state‑of‑the‑art analytics platforms, cloud infrastructure, and a sandbox environment for experimentation.
• Well‑Being Focus: Programs that support mental health, physical fitness, and work‑life harmony, including virtual wellness challenges and employee assistance resources.
• Recognition & Rewards: Regular acknowledgment of contributions through performance bonuses, peer‑recognition awards, and career milestone celebrations.

Compensation, Perks & Benefits

While the hourly rate for this part‑time role is set at $27, careerzynith offers a comprehensive benefits suite that may include:

• Health, dental, and vision insurance options with competitive employer contributions.
• Prescription drug discounts at careerzynith retail locations.
• Paid time off (PTO) for holidays, vacation, and sick days, prorated for part‑time employees.
• Retirement savings plans (e.g., 401(k)) with potential matching contributions.
• Employee discount programs on careerzynith merchandise and wellness services.
• Access to continuous learning platforms, webinars, and internal training workshops.
• Employee Assistance Program (EAP) offering confidential counseling and support services.

How to Apply

If you are passionate about turning real‑world health data into meaningful evidence and thrive in a flexible, remote environment, we want to hear from you. Join careerzynith’s mission‑driven analytics team and help shape the future of health‑care research.

Take the next step in your career today – apply now and become a catalyst for change at careerzynith!