Remote Data Entry & Virtual Assistant – Real‑World Evidence Information Researcher at careerzynith
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About careerzynith
careerzynith is a leading innovator in the health‑care data ecosystem, delivering cutting‑edge real‑world evidence (RWE) solutions that empower pharmaceutical partners, clinicians, and policy makers to make smarter, data‑driven decisions. With a global footprint and a commitment to scientific rigor, careerzynith blends advanced analytics, artificial intelligence, and deep domain expertise to transform raw health data into actionable insights. Our mission is to improve patient outcomes by turning everyday clinical information into powerful evidence that shapes the future of medicine.
Why This Role Matters
As an Information Researcher – Real‑World Evidence (RWE) you will be at the heart of careerzynith’s data‑science engine. You will design, execute, and interpret robust statistical analyses that answer critical business questions for our biopharma clients. Your work will directly influence drug development strategies, health‑economic assessments, and regulatory submissions, making a tangible impact on the health of millions of patients worldwide.
Key Responsibilities
Extract, clean, and normalize raw data sets from internal databases and external sources to create analysis‑ready patient cohorts.
Collaborate with cross‑functional teams—including Clinical Research, Epidemiology, and Data Engineering—to translate real‑world data (RWD) into meaningful RWE for pharmaceutical partners.
Perform advanced statistical analyses such as survival modeling, propensity score matching, hierarchical modeling, and Bayesian inference to uncover insights on treatment effectiveness, safety, and cost‑effectiveness.
Develop and maintain a centralized data lake, ensuring data integrity, security, and compliance with HIPAA and other privacy regulations.
Generate high‑quality dashboards, visualizations, and written reports using tools like Tableau, Power BI, Alteryx, or Spotfire for both internal stakeholders and external clients.
Lead the design and execution of outcomes research studies, including protocol development, data extraction plans, and statistical analysis plans.
Conduct data quality assessments on new real‑world data sources, providing recommendations for data acquisition and integration.
Stay abreast of emerging methodologies in epidemiology, health economics, and machine learning, and proactively apply them to enhance careerzynith’s analytical capabilities.
Mentor junior analysts and contribute to a culture of continuous learning and scientific excellence.
Essential Qualifications
Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Mathematics, Computer Science, Epidemiology, or related field).
Minimum of 3 years of hands‑on experience designing and executing reproducible statistical analyses in a health‑care or pharmaceutical setting.
Proficiency with statistical software (R, SAS, Stata, or Python) and a solid understanding of regression techniques, survival analysis, and longitudinal data methods.
Demonstrated experience handling large, multi‑source data sets, including claims data, electronic medical records (EMR), and disease registries.
Strong knowledge of data privacy and security standards, with experience managing protected health information (PHI) in compliance with HIPAA.
Hands‑on experience with at least one business intelligence or data‑visualization platform (e.g., Power BI, Tableau, Alteryx, Spotfire).
Excellent written and verbal communication skills, with the ability to translate complex statistical concepts into clear, actionable insights for non‑technical audiences.
Self‑motivated, detail‑oriented, and capable of managing multiple projects simultaneously while meeting tight deadlines.
Preferred Qualifications
Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Health Economics, Computer Science, or a related quantitative field.
Experience with electronic health record (EHR) data models, disease ontologies (ICD‑9/10, SNOMED CT, Read Codes), and clinical terminology standards.
Familiarity with Good Clinical Practice (GCP) and regulatory standards for real‑world evidence generation (e.g., ISO 14155, FDA RWE guidance, EMA RWE framework).
Hands‑on experience with cloud‑based data platforms (AWS, Azure, Google Cloud) and big‑data processing tools (Spark, Hadoop).
Knowledge of machine‑learning techniques, including supervised and unsupervised learning, and the ability to integrate them into traditional statistical workflows.
Experience leading cross‑functional projects that involve external biopharma partners, contract research organizations (CROs), and academic collaborators.
Proficiency in scripting languages (Python, Bash) for data pipeline automation and reproducibility.
Skills & Competencies
Analytical Rigor: Ability to design statistically sound studies, select appropriate methodologies, and interpret results with scientific precision.
Technical Acumen: Mastery of data‑wrangling, statistical programming, and visualization tools to turn raw data into compelling narratives.
Collaboration: Strong interpersonal skills to work effectively with clinicians, data engineers, product managers, and external partners.
Communication: Clear, concise, and persuasive writing style for reports, presentations, and client deliverables.
Problem‑Solving: Creative mindset to develop innovative solutions to complex data challenges.
Compliance Awareness: Deep understanding of data governance, privacy, and regulatory requirements in health‑care research.
Continuous Learning: Commitment to staying current with evolving methodologies, software updates, and industry trends.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its team members. In this role you will have access to:
Mentorship from senior scientists and data‑science leaders who are pioneers in RWE.
Sponsored certifications (e.g., SAS Certified Advanced Programmer, AWS Certified Data Analytics) and attendance at premier conferences such as ISPOR, DIA, and AMIA.
Opportunities to lead high‑visibility projects that directly influence product pipelines and regulatory submissions.
A clear career ladder from Analyst to Senior Analyst, Principal Scientist, and eventually Director of Real‑World Evidence.
Cross‑training programs that expose you to related domains such as health‑economics modeling, pharmacovigilance, and AI‑driven drug discovery.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, flexibility, and collaboration. While you will be based in North Carolina, you will join a globally distributed team that values:
Innovation: A culture that encourages experimentation, rapid prototyping, and the sharing of ideas.
Inclusivity: Diverse perspectives are celebrated, and every voice is heard in decision‑making processes.
Work‑Life Balance: Flexible scheduling, generous paid time off, and a supportive environment that respects personal commitments.
Health & Wellness: Comprehensive medical, dental, and vision plans, mental‑health resources, and wellness stipends.
Technology Enablement: State‑of‑the‑art laptops, secure VPN access, and collaboration tools (Slack, Microsoft Teams, Confluence) to keep you connected and productive.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate ranging from $20 to $30, commensurate with experience and expertise. In addition to base compensation, you will receive:
Performance‑based bonuses tied to project milestones and client satisfaction.
Retirement savings plan with company matching.
Professional development budget for courses, certifications, and conference travel.
Employee assistance program (EAP) for personal and professional support.
Annual wellness stipend and access to virtual fitness classes.
Recognition programs that celebrate innovation, teamwork, and impact.
How to Apply
If you are passionate about turning real‑world health data into evidence that drives better therapies, and you thrive in a collaborative, remote‑first environment, we want to hear from you. Submit your resume, a cover letter highlighting your most relevant projects, and any supporting work samples through the link below.
Apply Now at careerzynith
Join careerzynith and Shape the Future of Health Care
At careerzynith, your analytical expertise will not only advance scientific knowledge but also directly improve patient lives. Become part of a visionary team that values curiosity, rigor, and impact. Apply today and start your journey with a company that is redefining how real‑world evidence powers the next generation of medical breakthroughs.
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Apply for this job
About careerzynith
careerzynith is a leading innovator in the health‑care data ecosystem, delivering cutting‑edge real‑world evidence (RWE) solutions that empower pharmaceutical partners, clinicians, and policy makers to make smarter, data‑driven decisions. With a global footprint and a commitment to scientific rigor, careerzynith blends advanced analytics, artificial intelligence, and deep domain expertise to transform raw health data into actionable insights. Our mission is to improve patient outcomes by turning everyday clinical information into powerful evidence that shapes the future of medicine.
Why This Role Matters
As an Information Researcher – Real‑World Evidence (RWE) you will be at the heart of careerzynith’s data‑science engine. You will design, execute, and interpret robust statistical analyses that answer critical business questions for our biopharma clients. Your work will directly influence drug development strategies, health‑economic assessments, and regulatory submissions, making a tangible impact on the health of millions of patients worldwide.
Key Responsibilities
Extract, clean, and normalize raw data sets from internal databases and external sources to create analysis‑ready patient cohorts.
Collaborate with cross‑functional teams—including Clinical Research, Epidemiology, and Data Engineering—to translate real‑world data (RWD) into meaningful RWE for pharmaceutical partners.
Perform advanced statistical analyses such as survival modeling, propensity score matching, hierarchical modeling, and Bayesian inference to uncover insights on treatment effectiveness, safety, and cost‑effectiveness.
Develop and maintain a centralized data lake, ensuring data integrity, security, and compliance with HIPAA and other privacy regulations.
Generate high‑quality dashboards, visualizations, and written reports using tools like Tableau, Power BI, Alteryx, or Spotfire for both internal stakeholders and external clients.
Lead the design and execution of outcomes research studies, including protocol development, data extraction plans, and statistical analysis plans.
Conduct data quality assessments on new real‑world data sources, providing recommendations for data acquisition and integration.
Stay abreast of emerging methodologies in epidemiology, health economics, and machine learning, and proactively apply them to enhance careerzynith’s analytical capabilities.
Mentor junior analysts and contribute to a culture of continuous learning and scientific excellence.
Essential Qualifications
Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Mathematics, Computer Science, Epidemiology, or related field).
Minimum of 3 years of hands‑on experience designing and executing reproducible statistical analyses in a health‑care or pharmaceutical setting.
Proficiency with statistical software (R, SAS, Stata, or Python) and a solid understanding of regression techniques, survival analysis, and longitudinal data methods.
Demonstrated experience handling large, multi‑source data sets, including claims data, electronic medical records (EMR), and disease registries.
Strong knowledge of data privacy and security standards, with experience managing protected health information (PHI) in compliance with HIPAA.
Hands‑on experience with at least one business intelligence or data‑visualization platform (e.g., Power BI, Tableau, Alteryx, Spotfire).
Excellent written and verbal communication skills, with the ability to translate complex statistical concepts into clear, actionable insights for non‑technical audiences.
Self‑motivated, detail‑oriented, and capable of managing multiple projects simultaneously while meeting tight deadlines.
Preferred Qualifications
Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Health Economics, Computer Science, or a related quantitative field.
Experience with electronic health record (EHR) data models, disease ontologies (ICD‑9/10, SNOMED CT, Read Codes), and clinical terminology standards.
Familiarity with Good Clinical Practice (GCP) and regulatory standards for real‑world evidence generation (e.g., ISO 14155, FDA RWE guidance, EMA RWE framework).
Hands‑on experience with cloud‑based data platforms (AWS, Azure, Google Cloud) and big‑data processing tools (Spark, Hadoop).
Knowledge of machine‑learning techniques, including supervised and unsupervised learning, and the ability to integrate them into traditional statistical workflows.
Experience leading cross‑functional projects that involve external biopharma partners, contract research organizations (CROs), and academic collaborators.
Proficiency in scripting languages (Python, Bash) for data pipeline automation and reproducibility.
Skills & Competencies
Analytical Rigor: Ability to design statistically sound studies, select appropriate methodologies, and interpret results with scientific precision.
Technical Acumen: Mastery of data‑wrangling, statistical programming, and visualization tools to turn raw data into compelling narratives.
Collaboration: Strong interpersonal skills to work effectively with clinicians, data engineers, product managers, and external partners.
Communication: Clear, concise, and persuasive writing style for reports, presentations, and client deliverables.
Problem‑Solving: Creative mindset to develop innovative solutions to complex data challenges.
Compliance Awareness: Deep understanding of data governance, privacy, and regulatory requirements in health‑care research.
Continuous Learning: Commitment to staying current with evolving methodologies, software updates, and industry trends.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its team members. In this role you will have access to:
Mentorship from senior scientists and data‑science leaders who are pioneers in RWE.
Sponsored certifications (e.g., SAS Certified Advanced Programmer, AWS Certified Data Analytics) and attendance at premier conferences such as ISPOR, DIA, and AMIA.
Opportunities to lead high‑visibility projects that directly influence product pipelines and regulatory submissions.
A clear career ladder from Analyst to Senior Analyst, Principal Scientist, and eventually Director of Real‑World Evidence.
Cross‑training programs that expose you to related domains such as health‑economics modeling, pharmacovigilance, and AI‑driven drug discovery.
Work Environment & Culture at careerzynith
Our remote‑first culture is built on trust, flexibility, and collaboration. While you will be based in North Carolina, you will join a globally distributed team that values:
Innovation: A culture that encourages experimentation, rapid prototyping, and the sharing of ideas.
Inclusivity: Diverse perspectives are celebrated, and every voice is heard in decision‑making processes.
Work‑Life Balance: Flexible scheduling, generous paid time off, and a supportive environment that respects personal commitments.
Health & Wellness: Comprehensive medical, dental, and vision plans, mental‑health resources, and wellness stipends.
Technology Enablement: State‑of‑the‑art laptops, secure VPN access, and collaboration tools (Slack, Microsoft Teams, Confluence) to keep you connected and productive.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate ranging from $20 to $30, commensurate with experience and expertise. In addition to base compensation, you will receive:
Performance‑based bonuses tied to project milestones and client satisfaction.
Retirement savings plan with company matching.
Professional development budget for courses, certifications, and conference travel.
Employee assistance program (EAP) for personal and professional support.
Annual wellness stipend and access to virtual fitness classes.
Recognition programs that celebrate innovation, teamwork, and impact.
How to Apply
If you are passionate about turning real‑world health data into evidence that drives better therapies, and you thrive in a collaborative, remote‑first environment, we want to hear from you. Submit your resume, a cover letter highlighting your most relevant projects, and any supporting work samples through the link below.
Apply Now at careerzynith
Join careerzynith and Shape the Future of Health Care
At careerzynith, your analytical expertise will not only advance scientific knowledge but also directly improve patient lives. Become part of a visionary team that values curiosity, rigor, and impact. Apply today and start your journey with a company that is redefining how real‑world evidence powers the next generation of medical breakthroughs.
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Apply for this job