About careerzynith – Pioneering Health‑Focused Innovation
careerzynith is a global leader in health‑focused retail and digital services, delivering a seamless blend of pharmacy, wellness, and technology solutions to millions of customers every day. With a heritage that spans more than a century, careerzynith has evolved from a traditional pharmacy chain into a data‑driven health ecosystem, leveraging cutting‑edge analytics to improve patient outcomes, accelerate pharmaceutical research, and shape the future of real‑world evidence (RWE) generation. Our mission is to empower individuals to lead healthier lives while providing partners in the pharmaceutical and biotech industries with the insights they need to bring innovative therapies to market faster.
Why This Role Matters
In today’s fast‑moving healthcare landscape, real‑world data (RWD) is the cornerstone of evidence‑based decision making. As a Remote Real‑World Evidence Data Scientist at careerzynith, you will be at the heart of a multidisciplinary team that transforms raw clinical data into actionable insights for drug development, health‑economics assessments, and regulatory submissions. Your work will directly influence how new therapies are evaluated for safety, effectiveness, and cost‑effectiveness, ultimately impacting the health of patients worldwide.
Role Overview
This full‑time, remote position reports to the Chief of Clinical Data Science. You will lead the design, execution, and delivery of robust data‑driven studies that answer critical business questions for pharmaceutical partners. Your responsibilities will span data extraction, cleaning, advanced statistical analysis, machine learning, and the creation of intuitive dashboards that communicate findings to both technical and non‑technical audiences.
Key Responsibilities
- Extract and harmonize raw data sets from internal careerzynith sources (e.g., electronic health records, pharmacy claims, loyalty programs) and external licensed data platforms.
- Develop and implement reproducible analytical pipelines using statistical programming languages (Python, R, SAS) to generate real‑world evidence on treatment patterns, outcomes, and economic impact.
- Collaborate closely with clinical research scientists, epidemiologists, and external biotech partners to translate business objectives into analytical plans.
- Perform advanced statistical modeling—including propensity score matching, survival analysis, longitudinal mixed‑effects models, and Bayesian hierarchical methods—to address confounding and bias.
- Design, build, and maintain interactive visualizations and dashboards (Power BI, Tableau, Spotfire) that enable stakeholders to explore data insights in real time.
- Ensure data quality, integrity, and compliance with HIPAA, GDPR, and other privacy regulations throughout the data lifecycle.
- Lead the evaluation of new data sources (e.g., wearable devices, telehealth platforms) and assess their suitability for RWE studies.
- Document analytical methods, results, and interpretations in clear, regulatory‑ready reports that meet GCP, ISO, and FDA standards.
- Mentor junior analysts and contribute to the continuous improvement of careerzynith’s data science best practices.
- Stay abreast of emerging methodologies in causal inference, machine learning, and health economics to keep careerzynith at the forefront of RWE innovation.
Essential Qualifications
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Epidemiology, Mathematics, or related field). A master’s degree is highly desirable.
- Minimum 3 years of hands‑on experience conducting large‑scale observational research using real‑world data in the healthcare or pharmaceutical industry.
- Proficiency in statistical analysis software (R, SAS, Python) and familiarity with data‑wrangling tools (SQL, Alteryx, Spark).
- Demonstrated expertise in at least two of the following analytical techniques: propensity scoring, survival analysis, mixed‑effects modeling, time‑series analysis, or machine‑learning classification/regression.
- Experience handling protected health information (PHI) and working within regulated environments (HIPAA, GDPR).
- Strong command of data visualization platforms such as Power BI, Tableau, or Spotfire, with a track record of delivering executive‑level dashboards.
- Excellent written and verbal communication skills, with the ability to translate complex statistical concepts into clear business insights.
- Self‑motivated, detail‑oriented, and capable of managing multiple projects in a remote work setting.
Preferred Qualifications
- PhD or advanced degree in Biostatistics, Epidemiology, Health Economics, Computer Science, or a related discipline.
- Experience with electronic medical record (EMR) systems, health‑insurance claims data, and disease registries.
- Familiarity with clinical terminology standards (ICD‑9/10, SNOMED CT, RxNorm, LOINC) and controlled vocabularies.
- Knowledge of Good Clinical Practice (GCP) and regulatory guidelines for real‑world evidence generation (e.g., FDA’s RWE framework, EMA guidelines).
- Hands‑on experience with cloud‑based data platforms (AWS, Azure, Google Cloud) and big‑data processing frameworks (Hive, Presto, Databricks).
- Exposure to Bayesian statistical methods, causal inference techniques, and advanced machine‑learning pipelines (deep learning, reinforcement learning).
- Demonstrated ability to lead cross‑functional projects and influence decision‑making at senior leadership levels.
Core Skills & Competencies
- Analytical Rigor: Ability to design scientifically sound studies, select appropriate statistical methods, and critically evaluate results.
- Technical Acumen: Mastery of programming languages (Python, R), database querying (SQL), and data‑engineering tools.
- Communication Excellence: Clear storytelling through written reports, presentations, and visual dashboards.
- Collaboration: Proven track record of working effectively with clinicians, data engineers, product managers, and external partners.
- Regulatory Insight: Understanding of compliance requirements and ability to produce documentation suitable for regulatory review.
- Innovation Mindset: Curiosity to explore new data sources, analytical techniques, and emerging technologies.
Tools & Technologies You’ll Use
- Statistical programming: R, Python, SAS
- Data manipulation: SQL, Alteryx, Spark, Databricks
- Visualization: Power BI, Tableau, Spotfire
- Cloud platforms: AWS, Azure, Google Cloud
- Version control: Git, GitHub
- Project management: Jira, Confluence, Asana
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its data science talent. As a member of our RWE team, you will have access to:
- Annual learning stipend for conferences, certifications, and advanced coursework (e.g., Certified Clinical Data Scientist, AWS Certified Data Analytics).
- Mentorship programs pairing you with senior scientists and industry thought leaders.
- Opportunities to lead high‑visibility projects that influence global drug development strategies.
- Cross‑functional rotations with product, engineering, and regulatory affairs teams to broaden your skill set.
- Publication support for research findings in peer‑reviewed journals and industry conferences.
Compensation, Perks & Benefits
While the base hourly rate for this role is $26, careerzynith offers a comprehensive total rewards package that includes:
- Competitive health, dental, and vision insurance plans with low employee contributions.
- Prescription drug discounts at careerzynith retail locations and online pharmacy services.
- Generous paid time off (PTO) and flexible holiday schedules to support work‑life balance.
- 401(k) retirement plan with company matching contributions.
- Employee assistance program (EAP) providing confidential counseling, legal, and financial resources.
- Wellness initiatives such as virtual fitness classes, health screenings, and mental‑health days.
- Employee discount program for careerzynith products, including wellness and beauty items.
- Remote‑first work model with a stipend for home‑office equipment and high‑speed internet.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and purpose‑driven culture. Our remote teams are united by a shared commitment to improving health outcomes through data‑powered insights. Key cultural pillars include:
- Innovation: We encourage experimentation and reward creative problem‑solving.
- Diversity & Inclusion: A diverse workforce fuels better science; we celebrate varied perspectives and backgrounds.
- Integrity: Ethical handling of patient data and adherence to regulatory standards are non‑negotiable.
- Continuous Learning: Regular knowledge‑sharing sessions, hackathons, and lunch‑and‑learn events keep our teams at the cutting edge.
- Community Impact: Employees participate in volunteer programs that promote health literacy and access to care in underserved communities.
Application Process
If you are passionate about turning real‑world data into meaningful evidence, thrive in a remote, fast‑paced environment, and want to make a tangible impact on global health, we want to hear from you. To apply, click the link below, submit your resume, and include a brief cover letter highlighting your most relevant RWE experience.
Closing Statement
careerzynith is committed to building a diverse workforce that reflects the communities we serve. We welcome applicants of all backgrounds and experiences. Take the next step in your career and help shape the future of healthcare analytics with careerzynith.