Part‑Time Real‑World Evidence Data Scientist – Remote – $27/hr – Clinical Data Analytics & Research at careerzynith

About careerzynith – Pioneering Health Innovation

careerzynith is a leading name in the healthcare and pharmacy retail sector, delivering cutting‑edge solutions that bridge the gap between everyday wellness and advanced clinical research. With a heritage that spans more than a century, careerzynith has evolved from a traditional pharmacy chain into a data‑driven health ecosystem, leveraging real‑world evidence (RWE) to inform therapeutic decisions, support pharmaceutical partners, and improve patient outcomes worldwide. Our remote teams are at the heart of this transformation, turning raw data into actionable insights that shape the future of medicine.

Why This Role Matters

As a Part‑Time Real‑World Evidence Data Scientist at careerzynith, you will be a critical member of the Scientific Solutions group, collaborating with clinicians, epidemiologists, and biopharma partners to generate high‑quality evidence from real‑world data (RWD). Your work will directly influence drug development pipelines, health‑economic models, and policy decisions, ensuring that the therapies of tomorrow are grounded in robust, patient‑centric evidence today.

Key Responsibilities

• Extract, transform, and load (ETL) raw data sets from internal careerzynith databases and external licensed platforms into a curated data lake ready for analysis.
• Conduct advanced statistical analyses using R, Python, or SQL to answer core business questions related to disease epidemiology, treatment patterns, and cost‑effectiveness.
• Partner with careerzynith Clinical Research teams to translate real‑world insights into actionable recommendations for pharmaceutical clients and internal stakeholders.
• Develop and maintain reproducible analytical pipelines, ensuring compliance with Good Clinical Practice (GCP) and regulatory standards such as ISO, MDD/MDR, and CFR.
• Design, implement, and validate predictive models—including generalized linear models, survival analysis, machine learning classifiers, and Bayesian simulations—to uncover hidden trends in patient populations.
• Produce clear, concise dashboards and reports using BI tools (e.g., Power BI, Tableau, Alteryx, Spotfire) for both internal consumption and external client presentations.
• Lead data quality assessments, performing data cleaning, de‑identification, and integrity checks on large, multi‑source datasets.
• Collaborate on study design and execution for RWE projects, contributing methodological expertise and ensuring alignment with project timelines.
• Stay abreast of emerging data science techniques, AI strategies, and healthcare data standards to continuously elevate the analytical capabilities of the arenaxflex team.

Essential Qualifications

• Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Epidemiology, Health Informatics, or a related quantitative field.
• Experience: Minimum 2 years of hands‑on experience with at least one of the following programming languages or environments: R, Python, or SQL.
• Statistical Expertise: Proven ability to design and execute robust statistical analyses for observational health data, including regression modeling, propensity score matching, and survival analysis.
• Data Management Skills: Experience handling large, heterogeneous data sources (claims, EMR, registries) and ensuring compliance with HIPAA and other privacy regulations.
• BI Proficiency: Familiarity with visualization platforms such as Power BI, Tableau, Alteryx, or Spotfire to translate complex findings into intuitive visual narratives.
• Communication: Strong written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.

Preferred Qualifications & Skills

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
• Hands‑on experience with electronic medical records (EMR) systems, health‑IT standards, and claims data.
• Knowledge of clinical terminologies and ontologies (ICD‑9/10, SNOMED CT, Read Codes).
• Familiarity with Good Clinical Practice (GCP) and regulatory compliance frameworks for real‑world evidence studies.
• Experience in designing and analyzing clinical trial data, including Bayesian modeling and sequential analysis.
• Exposure to AI/ML pipelines, natural language processing (NLP) for unstructured clinical notes, and automated feature engineering.
• Demonstrated ability to work independently in a remote environment while maintaining high productivity and collaboration.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex datasets, identify patterns, and generate evidence‑based insights.
• Problem‑Solving: Creative approach to methodological challenges, leveraging innovative statistical techniques.
• Collaboration: Team‑oriented mindset, comfortable partnering with clinicians, data engineers, and business stakeholders.
• Attention to Detail: Rigorous data validation and documentation practices to ensure reproducibility.
• Adaptability: Quick learner who thrives in a fast‑changing environment and embraces new technologies.

Career Growth & Learning Opportunities

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

• Mentorship from senior data scientists and clinical research leaders.
• Sponsored certifications in advanced analytics, machine learning, and health data standards.
• Opportunities to present findings at industry conferences and publish in peer‑reviewed journals.
• Cross‑functional projects that broaden exposure to drug development, health economics, and regulatory affairs.
• Pathways to transition into full‑time roles, senior analyst positions, or managerial tracks within arenaxflex’s global research organization.

Work Environment & Culture at careerzynith

Our remote workforce enjoys a flexible, results‑driven culture that values work‑life balance, continuous learning, and inclusive collaboration. arenaxflex promotes:

• Flexibility: Choose your own schedule within the 8‑hour weekly commitment, allowing you to balance personal commitments and professional growth.
• Inclusivity: A diverse, global team where every voice is heard and ideas are welcomed.
• Innovation: Access to state‑of‑the‑art analytical platforms and a sandbox environment for experimentation.
• Recognition: Regular performance feedback, employee awards, and a culture that celebrates data‑driven successes.

Compensation, Perks & Benefits (General Overview)

careerzynith offers a competitive hourly rate of $27 per hour for this part‑time position, complemented by a comprehensive benefits package that may include:

• Health, dental, and vision insurance options.
• Prescription drug discounts at arenaxflex retail locations.
• Employee Assistance Program (EAP) for confidential counseling and support.
• Paid time off (PTO) for holidays, vacation, and sick days.
• Retirement savings plans (e.g., 401(k)) with employer matching contributions.
• Employee discounts on a wide range of health and wellness products.
• Wellness initiatives such as virtual fitness challenges, health screenings, and mental‑health resources.
• Opportunities for professional development, tuition reimbursement, and internal training.

How to Apply

If you are passionate about turning real‑world data into meaningful evidence, thrive in a collaborative remote setting, and are eager to contribute to groundbreaking health research, we want to hear from you. Join arenaxflex’s mission to empower patients, clinicians, and partners with data‑driven insights.

Take the next step in your career—apply today and become part of a forward‑thinking team that’s reshaping the future of healthcare.