About careerzynith
careerzynith is a global leader in health‑focused retail and pharmaceutical services, delivering innovative care solutions to millions of customers every day. With a heritage that stretches back over a century, careerzynith has evolved from a traditional pharmacy chain into a data‑driven health ecosystem that blends in‑store expertise with cutting‑edge digital platforms. Our mission is to empower people to lead healthier lives by providing seamless access to medicines, wellness products, and evidence‑based health information. As part of our commitment to scientific excellence, careerzynith invests heavily in real‑world evidence (RWE) research, leveraging massive data sets to answer critical questions for pharmaceutical partners, regulators, and internal decision‑makers.
Position Summary
careerzynith is seeking a highly motivated Remote Real‑World Evidence (RWE) Data Scientist to join our Clinical Data Science team. In this role you will design, develop, and execute rigorous data‑analysis pipelines that transform raw clinical and claims data into actionable insights. You will work closely with clinicians, epidemiologists, and external pharmaceutical collaborators to generate certifiable evidence that informs drug development, health‑economics assessments, and strategic market decisions. This is a full‑time, remote opportunity offering a competitive hourly rate of $26, flexible working hours, and a supportive, collaborative environment.
Key Responsibilities
- Extract, clean, and harmonize large‑scale real‑world data (RWD) from internal electronic health records (EHR), claims databases, and external registries to create a unified, analysis‑ready data lake.
- Design and implement reproducible statistical analyses—including propensity‑score matching, survival analysis, hierarchical modeling, and Bayesian inference—to answer clinical and health‑economic research questions.
- Collaborate with careerzynith’s Clinical Research team to translate business problems into analytical plans, ensuring alignment with regulatory standards (e.g., GCP, ISO, CFR).
- Develop interactive dashboards and visualizations using Power BI, Tableau, or Spotfire that communicate complex findings to both technical and non‑technical stakeholders.
- Lead the evaluation of new data sources (e.g., wearable devices, patient‑generated health data) and assess data quality, completeness, and suitability for RWE studies.
- Document analytical methods, validation procedures, and results in a transparent, audit‑ready format to support regulatory submissions and internal decision‑making.
- Mentor junior analysts on best practices in data engineering, statistical programming, and scientific writing.
- Stay current with emerging methodologies in causal inference, machine learning, and health‑technology assessment to continuously improve careerzynith’s analytical capabilities.
Essential Qualifications
- Bachelor’s degree in Statistics, Biostatistics, Computer Science, Epidemiology, Health Informatics, or a related quantitative field.
- Minimum 2 years of hands‑on experience conducting robust observational research using real‑world health data.
- Proficiency in statistical programming languages such as R or Python, including packages for survival analysis, mixed‑effects modeling, and Bayesian methods.
- Demonstrated ability to work with large, multi‑source datasets (e.g., claims, EHR, registries) and apply data‑wrangling tools like SQL, Alteryx, or Apache Spark.
- Strong knowledge of data privacy regulations (HIPAA, GDPR) and experience handling protected health information (PHI) securely.
- Familiarity with at least one business intelligence platform (Power BI, Tableau, Spotfire) for building dashboards and visual analytics.
- Excellent written and verbal communication skills, with the ability to translate technical results into clear, actionable recommendations for diverse audiences.
Preferred Qualifications
- Advanced degree (PhD, MSc) in Biostatistics, Epidemiology, Biomedical Engineering, or a related discipline.
- Experience with electronic medical record (EMR) systems, health‑insurance claims data, and disease‑specific registries.
- Knowledge of clinical terminology standards (ICD‑9/10, SNOMED CT, Read Codes) and familiarity with ontologies used in health data integration.
- Background in Good Clinical Practice (GCP) and regulatory compliance for real‑world evidence generation (e.g., ISO 14155, MDD/MDR, CFR 21 Part 11).
- Hands‑on experience with machine‑learning pipelines, including feature engineering, model validation, and deployment in a cloud environment.
- Exposure to Bayesian statistics, hierarchical modeling, and advanced time‑series analysis for longitudinal health data.
- Demonstrated ability to lead cross‑functional projects, manage timelines, and deliver high‑quality results under tight deadlines.
Core Skills & Competencies
- Analytical Rigor: Ability to design statistically sound studies, assess bias, and ensure reproducibility.
- Technical Proficiency: Mastery of data‑engineering tools (SQL, Python, R, Alteryx) and visualization platforms.
- Domain Knowledge: Understanding of clinical workflows, disease pathways, and health‑economics concepts.
- Collaboration: Strong teamwork orientation, comfortable partnering with clinicians, data engineers, and external partners.
- Communication: Clear storytelling with data, producing concise reports, presentations, and scientific manuscripts.
- Adaptability: Ability to thrive in a fast‑changing environment, quickly learning new data sources and analytical techniques.
- Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.
Career Growth & Learning Opportunities
careerzynith invests in the professional development of its employees. As a Remote RWE Data Scientist you will have access to:
- Sponsored certifications (e.g., SAS, AWS, GCP) and advanced training in causal inference, health‑technology assessment, and AI for healthcare.
- Mentorship programs pairing you with senior scientists who have published in top medical journals.
- Opportunities to lead multi‑national RWE projects, expanding your influence across the global careerzynith network.
- Regular internal “Data Science Days” where you can showcase innovative work, learn from peers, and influence the strategic roadmap.
- Pathways to senior scientific roles, product management, or strategic consulting within careerzynith’s broader health‑services division.
Work Environment & Culture at careerzynith
careerzynith fosters a culture of curiosity, inclusion, and impact. Our remote workforce enjoys:
- A flexible schedule that respects work‑life balance while maintaining high‑performance standards.
- A collaborative virtual community with regular video‑conferences, virtual coffee chats, and cross‑regional hackathons.
- Commitment to diversity, equity, and inclusion—ensuring every voice is heard and valued.
- Access to a comprehensive wellness program, including mental‑health resources, fitness stipends, and nutrition guidance.
- Recognition programs that celebrate scientific breakthroughs, innovative problem‑solving, and teamwork.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $26, along with a benefits package designed to support your health, financial security, and personal growth. While specific details may vary by location, typical offerings include:
- Medical, dental, and vision insurance with generous employer contributions.
- Prescription drug discounts at careerzynith pharmacies.
- Retirement savings plans (401(k) with matching contributions).
- Paid time off—including holidays, vacation, and sick leave—to recharge and spend time with loved ones.
- Employee assistance program (EAP) providing confidential counseling and support services.
- Professional development budget for conferences, courses, and certifications.
- Employee discounts on careerzynith products and services.
- Flexible remote work setup with a stipend for home‑office equipment.
How to Apply
If you are passionate about turning real‑world health data into meaningful evidence, thrive in a remote, collaborative environment, and are eager to contribute to careerzynith’s mission of improving health outcomes worldwide, we want to hear from you. Please submit your resume, a cover letter highlighting relevant experience, and any supporting work samples (e.g., dashboards, publications) through our online portal.
Join careerzynith and Make an Impact
At careerzynith, your analytical expertise will directly influence the development of life‑changing therapies, shape health‑policy decisions, and improve the everyday health of millions. This is more than a data‑science role—it is an opportunity to be part of a purpose‑driven organization that values scientific rigor, innovation, and the well‑being of its employees. Apply today and become a catalyst for evidence‑based health transformation.