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About careerzynith – Pioneering Innovation in Healthcare Data
careerzynith is a global leader in the transformation of health‑care through data‑driven insights. With a mission to improve patient outcomes and accelerate therapeutic discovery, careerzynith leverages cutting‑edge analytics, real‑world evidence (RWE), and a collaborative culture that empowers every employee to make a meaningful impact. Our remote teams span the United States and beyond, bringing together diverse expertise in clinical research, data science, and regulatory affairs. As a member of the careerzynith family, you will join a forward‑thinking organization that values curiosity, integrity, and continuous learning.
Position Overview – Information Researcher (RWE) – Remote
careerzynith is seeking a highly motivated Information Researcher – Real‑World Evidence (RWE) to lead the creation of authentic, actionable evidence through innovative data analysis and scientific methodology. Reporting directly to the Chief of Clinical Information Science, you will be a pivotal member of the Clinical Research team, driving data‑centric solutions that answer critical business questions for pharmaceutical partners and internal stakeholders.
Key Responsibilities
- Data Extraction & Normalization: Mine raw data collections from internal sources and licensed platforms, transform and standardize patient‑level data, and prepare it for downstream analysis.
- Collaborative Knowledge Transfer: Partner with careerzynith Clinical Research scientists to translate real‑world data (RWD) into meaningful insights that support drug development, health‑economic assessments, and market access strategies.
- Data Lake Management: Clean, curate, and store data in a structured data lake, ensuring accessibility for future investigations and cross‑functional use.
- Statistical & Quantitative Analysis: Conduct rigorous statistical analyses—including descriptive modeling, regression, classification trees, machine learning, time‑series analysis, and survival analysis—to uncover new insights about patient populations and treatment outcomes.
- Methodology Development: Uphold best‑in‑class data, analysis, and reporting standards by applying advanced research methods and tools to solve scientific questions posed by pharmaceutical clients.
- Study Design & Execution: Contribute to the planning and implementation of outcomes research studies, ensuring alignment with regulatory and scientific standards.
- Quality Assurance: Deliver high‑quality, reproducible, and timely deliverables, including dashboards, analytical reports, and visualizations for internal and external audiences.
- Vendor & Data Source Evaluation: Conduct effort estimations for new real‑world data sources, perform data quality assessments, and provide recommendations that inform strategic decisions.
Essential Qualifications
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Mathematics, Epidemiology, or related field).
- Demonstrated experience designing and executing robust, reproducible statistical analyses focused on disease epidemiology and observational research using health‑care data.
- Strong knowledge of standard statistical techniques, including regression models, clustering, decision trees, machine learning, time‑series, and survival analysis.
- Hands‑on experience handling large, multi‑source datasets and ensuring data integrity and privacy compliance.
- Proficiency with at least one business intelligence or data‑visualization tool such as Tableau, Power BI, Alteryx, Spotfire, or similar platforms.
- Experience working with protected health information (PHI) and adhering to HIPAA and other data‑privacy regulations.
Preferred Qualifications
- Advanced degree (Ph.D. or Master’s) in Biostatistics, Data Science, Biomedical Engineering, or a related quantitative field.
- Expertise in electronic medical records (EMR) systems, health‑IT, disease registries, and claims data.
- Familiarity with clinical terminology, controlled vocabularies, and ontologies (e.g., ICD‑9/10, SNOMED CT, Read Codes).
- Knowledge of Good Clinical Practice (GCP) and regulatory compliance frameworks for real‑world evidence studies (e.g., ISO, MDD/MDR, CFR).
- Experience designing data collection strategies for emerging data sources, including wearable devices, digital health platforms, and cloud‑based repositories.
- Proficiency in advanced analytical approaches such as Bayesian modeling, causal inference, longitudinal data analysis, and AI‑driven predictive modeling.
- Ability to self‑direct learning in emerging technologies and methodologies, demonstrating a growth mindset.
Core Skills & Competencies
- Analytical Rigor: Ability to translate complex clinical questions into structured analytical plans and deliver actionable insights.
- Technical Proficiency: Strong command of statistical software (e.g., R, SAS, Python) and data‑wrangling tools.
- Communication Excellence: Clear articulation of findings to both technical and non‑technical audiences, including senior leadership and external partners.
- Collaboration & Teamwork: Proven track record of working effectively across multidisciplinary teams, fostering a culture of shared knowledge.
- Attention to Detail: Commitment to data quality, reproducibility, and rigorous documentation.
- Problem‑Solving Orientation: Proactive identification of analytical challenges and innovative solutions.
- Ethical Stewardship: Upholding the highest standards of data privacy, security, and ethical research conduct.
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 in data analytics, machine learning, and regulatory affairs.
- Opportunities to present research at industry conferences and publish in peer‑reviewed journals.
- Cross‑functional project rotations that broaden exposure to drug development, health‑economics, and market access.
- Continuous learning platforms offering courses on emerging technologies such as cloud analytics, AI, and advanced visualization.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate ranging from $20–$30 per hour**, commensurate with experience and expertise. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:
- Flexible remote work arrangements with a full‑time schedule (8‑hour workday).
- Health, dental, and vision insurance plans with employer contributions.
- Retirement savings options, including 401(k) matching.
- Generous paid time off, holidays, and sick leave.
- Professional development stipend and tuition reimbursement.
- Wellness programs, employee assistance resources, and virtual team‑building events.
- Access to cutting‑edge analytical tools and cloud‑based platforms.
Work Environment & Culture at careerzynith
Our remote workforce thrives on a culture of inclusion, curiosity, and impact. careerzynith promotes:
- Collaboration Across Borders: Virtual collaboration rooms, regular cross‑team syncs, and an open‑door policy with leadership.
- Innovation‑First Mindset: Encouragement to experiment with new methodologies, share findings, and pilot novel data sources.
- Diversity & Inclusion: A commitment to building a workforce that reflects the patients we serve, with employee resource groups and inclusive policies.
- Work‑Life Balance: Flexible scheduling, mental‑health days, and resources to support personal well‑being.
Why Join careerzynith?
If you are passionate about turning raw health data into actionable evidence that shapes the future of medicine, careerzynith offers the platform, mentorship, and resources to accelerate your career. You will work on high‑impact projects that directly influence drug development pipelines, health‑policy decisions, and patient care pathways—all from the comfort of your home office.
Application Process
Ready to make a difference? Submit your application today and become part of a dynamic team that is redefining the landscape of real‑world evidence. We look forward to reviewing your qualifications and exploring how your expertise can contribute to careerzynith’s mission of improving health outcomes worldwide.
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