Remote Real‑World Evidence Data Scientist – Advanced Clinical Data Mining & Analytics (Full‑Time, $26/hr)

About careerzynith – Pioneering Health Innovation from Anywhere

careerzynith is a global leader in health‑focused retail and digital services, delivering pharmacy, wellness, and technology solutions to millions of customers every day. With a heritage that dates back over a century, careerzynith has transformed from a regional pharmacy chain into a data‑driven health ecosystem that blends in‑store expertise with cutting‑edge analytics. Our mission is to empower people to lead healthier lives by turning real‑world health data into actionable insights that shape better treatments, improve outcomes, and drive cost‑effective care.

As a remote‑first organization, careerzynith embraces flexible work arrangements, enabling talented professionals across the United States—and beyond—to collaborate, innovate, and make an impact without the constraints of a traditional office. Whether you are based in Orlando, Florida, or any other city, you will join a vibrant, inclusive community that values curiosity, integrity, and continuous learning.

Role Overview – Information Researcher (Real‑World Evidence)

careerzynith is seeking a highly motivated Information Researcher – Real‑World Evidence (RWE) to join our Clinical Data Science team. In this role, you will design and execute sophisticated data mining, cleaning, and analytical pipelines that transform raw health records into certified evidence supporting drug development, health‑economics studies, and regulatory submissions. Reporting directly to the Chief of Clinical Data Science, you will collaborate with cross‑functional partners—including epidemiologists, biostatisticians, and external pharmaceutical collaborators—to answer critical business questions and generate insights that influence both internal strategy and external stakeholder decisions.

Key Responsibilities

• Data Extraction & Normalization: Mine raw data sets from internal electronic health records (EHR), claims databases, and external registries; transform them into analysis‑ready patient cohorts while ensuring compliance with privacy regulations.
• Collaborative Insight Generation: Partner with clinical research scientists, epidemiologists, and external pharma partners to translate real‑world observations into actionable evidence for therapeutic areas, disease pathways, and health‑economic models.
• Data Lake Management: Clean, curate, and store structured and unstructured data in a centralized data lake, facilitating downstream analytics and cross‑team reuse.
• Statistical & Machine Learning Analyses: Conduct descriptive, predictive, and causal analyses using advanced statistical methods (e.g., propensity scoring, survival analysis, Bayesian modeling) and machine‑learning techniques to uncover patterns in patient outcomes.
• Methodology Development: Design reproducible, peer‑reviewable analytical pipelines that meet regulatory standards for real‑world evidence generation (e.g., GCP, ISO, CFR).
• Reporting & Visualization: Build interactive dashboards, detailed reports, and scientific manuscripts for internal stakeholders and external partners, ensuring clarity, accuracy, and timeliness.
• Quality Assurance: Perform rigorous data quality assessments, validate source data, and document data provenance to support certification of evidence.
• Innovation & Continuous Improvement: Evaluate emerging data sources (e.g., wearable devices, social determinants of health) and analytical tools to expand careerzynith’s RWE capabilities.

Essential Qualifications

• Bachelor’s degree in a quantitative discipline such as Statistics, Biostatistics, Computer Science, Mathematics, Epidemiology, or a related field.
• Demonstrated experience designing and executing robust observational studies using real‑world health data.
• Proficiency with statistical programming languages (e.g., R, Python, SAS) and familiarity with data‑visualization tools such as Power BI, Tableau, Alteryx, or Spotfire.
• Hands‑on experience handling large, multi‑source data sets, including structured claims data and unstructured clinical notes.
• Strong knowledge of data privacy regulations (HIPAA, GDPR) and best practices for handling protected health information (PHI).
• Ability to communicate complex analytical concepts to both technical and non‑technical audiences.

Preferred Qualifications

• Advanced degree (PhD, MSc) in Biostatistics, Epidemiology, Health Economics, or a related discipline.
• Experience with electronic medical record (EMR) systems, disease registries, and claims data extraction.
• Familiarity with clinical terminology standards and ontologies (ICD‑9/10, SNOMED CT, Read Codes).
• Exposure to Good Clinical Practice (GCP) guidelines and regulatory compliance frameworks for real‑world evidence (e.g., ISO 14155, MDD/MDR, CFR 21 Part 11).
• Background in Bayesian statistics, time‑series analysis, or causal inference methods.
• Demonstrated ability to develop and maintain automated data pipelines using cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Passion for continuous learning in AI/ML, data engineering, and health‑technology innovations.

Core Skills & Competencies

• Analytical Rigor: Ability to design reproducible, statistically sound studies that withstand peer review and regulatory scrutiny.
• Technical Acumen: Proficiency in SQL, Python/R, and data‑visualization platforms; experience with ETL processes and data lake architectures.
• Collaboration: Strong teamwork skills, with a track record of partnering across multidisciplinary groups to achieve shared objectives.
• Communication: Clear, concise writing and presentation abilities; capable of translating technical findings into business‑relevant narratives.
• Problem‑Solving: Creative mindset for tackling ambiguous data challenges and developing innovative analytical solutions.
• Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. As an Information Researcher, you will have access to:

• Mentorship from senior data scientists and clinical research leaders.
• Sponsored certifications (e.g., Certified Clinical Data Scientist, GCP, HIPAA compliance).
• Internal learning portals offering courses on advanced analytics, cloud computing, and health economics.
• Opportunities to present findings at industry conferences and co‑author peer‑reviewed publications.
• Clear career pathways toward senior data scientist, analytics manager, or principal investigator roles within careerzynith’s expansive health‑data ecosystem.

Work Environment & Culture at careerzynith

Our remote‑first culture is built on trust, flexibility, and inclusion. Key aspects of life at careerzynith include:

• Flexible Scheduling: Choose work hours that align with your personal rhythm while meeting project milestones.
• Collaborative Technology Stack: Leverage state‑of‑the‑art collaboration tools (Slack, Microsoft Teams, Confluence) to stay connected with teammates across time zones.
• Diversity & Inclusion: A commitment to building a workforce that reflects the communities we serve, with employee resource groups and inclusive policies.
• Health & Wellness Focus: Access to virtual wellness programs, mental‑health resources, and fitness challenges.
• Recognition & Rewards: Regular acknowledgment of achievements through awards, spot bonuses, and public shout‑outs.

Compensation, Perks & Benefits

careerzynith offers a competitive compensation package that reflects the expertise required for this role. While the base hourly rate is $26, total rewards include:

• Comprehensive health, dental, and vision insurance with low employee contributions.
• Prescription drug discounts and wellness stipends.
• Generous paid time off (vacation, sick leave, holidays) and flexible holiday scheduling.
• Retirement savings options, including a 401(k) plan with company matching.
• Employee assistance program (EAP) providing confidential counseling and support services.
• Professional development budget for conferences, certifications, and continuing education.
• Remote‑work stipend covering home office equipment, internet, and ergonomic accessories.
• Employee discount program for careerzynith retail locations and online services.

Why Join careerzynith?

If you are passionate about turning real‑world health data into evidence that drives better patient outcomes, thrive in a collaborative, remote environment, and seek a role that blends scientific rigor with innovative technology, careerzynith is the place for you. You will be part of a forward‑thinking organization that values data integrity, ethical stewardship, and the power of interdisciplinary teamwork.

Application Process

Ready to make a meaningful impact on the future of health care? Submit your resume and a concise cover letter highlighting your experience with real‑world data, analytical methods, and collaborative research. Our recruiting team will review your application promptly and reach out to schedule a virtual interview.

Join careerzynith today and help shape the evidence that will guide tomorrow’s therapies.

Apply Now