About careerzynith
careerzynith is a leading innovator in the health‑care and pharmaceutical services space, delivering cutting‑edge solutions that bridge the gap between real‑world data and actionable clinical insights. With a legacy of more than a century in serving communities across the United States, careerzynith combines deep industry expertise with a forward‑thinking technology mindset to empower researchers, clinicians, and biopharma partners. Our mission is to transform raw health data into evidence that improves patient outcomes, informs policy, and drives sustainable value for the entire health ecosystem.
Why This Role Matters
In today’s data‑driven health landscape, Real‑World Evidence (RWE) is the cornerstone of evidence‑based decision making. As a Remote Part‑Time Data Scientist at careerzynith, you will be at the heart of this transformation, turning complex, heterogeneous data sets into clear, reliable evidence that shapes clinical research, regulatory submissions, and market access strategies. This is a unique opportunity to apply advanced analytics, statistical rigor, and domain knowledge to solve real‑world problems that directly impact patient care.
Role Summary
This part‑time, fully remote position is designed for a data‑savvy professional with a passion for health‑care analytics. Reporting to the Chief of Clinical Data Science, you will collaborate with cross‑functional teams—including clinical researchers, biopharma partners, and data engineering specialists—to design, execute, and communicate robust RWE studies. Your work will support a variety of initiatives, from drug safety assessments to health‑economics evaluations, all while adhering to the highest standards of data integrity and regulatory compliance.
Key Responsibilities
- Data Extraction & Normalization: Mine raw data collections from internal careerzynith databases and licensed external platforms, transform them into analysis‑ready patient cohorts, and ensure consistent data definitions across studies.
- Collaborative Insight Generation: Partner with careerzynith Clinical Research colleagues and external biopharma sponsors to translate real‑world data into meaningful insights for therapeutic areas, disease states, and health‑economic outcomes.
- Data Lake Management: Clean, curate, and store data in a structured data lake, enabling downstream analytics and fostering a culture of data reuse across the organization.
- Advanced Analytics & Modeling: Conduct statistical mining and factual analysis of RWE/RWD, applying techniques such as regression, propensity scoring, survival analysis, and machine‑learning algorithms to uncover patterns in patient populations and treatment outcomes.
- Methodology Development: Uphold and evolve best‑in‑class RWE methodologies, integrating emerging analytical tools and platforms to address complex scientific questions from biopharma partners.
- Study Design & Execution: Contribute to the planning and operationalization of outcomes research studies, ensuring rigorous protocol development, data capture, and quality control.
- Quality Assurance: Deliver high‑quality, reproducible, and timely deliverables, including dashboards, technical reports, and executive‑level presentations for internal and external stakeholders.
- Vendor & Data Source Evaluation: Perform due‑diligence on new real‑world data vendors, assess data quality, and recommend strategic data acquisition decisions.
Essential Qualifications
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Epidemiology, Bioinformatics, or related field).
- Minimum of 2 years of hands‑on experience with R, Python, or SQL for data manipulation and statistical analysis.
- Demonstrated ability to design and execute robust, reproducible analyses focused on disease epidemiology and observational research using health‑care data.
- Strong knowledge of statistical testing methods, including generalized linear models, clustering, classification trees, unsupervised learning, time‑series analysis, and survival analysis.
- Experience handling large, multi‑source data sets and ensuring data privacy and security for protected health information (PHI).
- Proficiency with at least one business‑intelligence or visualization tool (e.g., Tableau, Power BI, Alteryx, Spotfire).
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in a relevant quantitative field.
- Expertise in EMR/EHR systems, disease registries, and claims data.
- Familiarity with clinical terminology and controlled vocabularies (ICD‑9/10, SNOMED CT, Read Codes).
- Experience with Good Clinical Practice (GCP) and regulatory compliance frameworks such as ISO, MDD/MDR, or CFR for real‑world evidence studies.
- Background in clinical trial design, Bayesian modeling, longitudinal data analysis, or advanced predictive analytics.
- Exposure to AI/ML pipelines and a demonstrated ability to self‑direct learning of emerging analytical techniques.
Core Skills & Competencies
- Analytical Rigor: Ability to translate complex clinical questions into structured analytical plans and deliver statistically sound results.
- Communication: Strong written and verbal communication skills to convey technical findings to both scientific and non‑technical audiences.
- Collaboration: Proven track record of working effectively in multidisciplinary, remote teams.
- Problem‑Solving: Creative mindset for tackling ambiguous data challenges and developing innovative solutions.
- Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.
- Technology Agility: Quick adoption of new tools, platforms, and programming languages as the field evolves.
Learning & Development Opportunities
careerzynith invests heavily in the professional growth of its talent. As a member of our RWE team, you will have access to:
- Mentorship from senior data scientists and clinical research leaders.
- Sponsored certifications in data science, health‑informatics, and regulatory science.
- Regular internal webinars on emerging topics such as real‑world data integration, AI in health‑care, and advanced statistical methods.
- Opportunities to present findings at industry conferences and publish in peer‑reviewed journals.
- Cross‑functional project rotations that broaden exposure to drug development, market access, and health‑policy research.
Culture & Work Environment
At careerzynith, we champion a culture of curiosity, inclusion, and impact. Our remote workforce enjoys:
- Flexible scheduling that respects work‑life balance, especially important for part‑time contributors.
- A collaborative virtual environment with regular team huddles, knowledge‑sharing sessions, and social events.
- Commitment to diversity, equity, and inclusion—ensuring every voice is heard and valued.
- Access to state‑of‑the‑art analytical platforms, cloud‑based data warehouses, and secure collaboration tools.
- Recognition programs that celebrate scientific achievements and innovative problem‑solving.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $27 per hour for this part‑time, remote role. In addition to base compensation, eligible employees may receive:
- Comprehensive health, dental, and vision insurance plans.
- Prescription drug discounts through careerzynith pharmacy network.
- Employee Assistance Program (EAP) providing confidential counseling and support services.
- Paid Time Off (PTO) for holidays, personal days, and sick leave.
- Retirement savings options, including a 401(k) plan with employer matching contributions.
- Employee discounts on careerzynith products and services.
- Wellness initiatives such as virtual fitness challenges, health screenings, and mental‑health resources.
- Opportunities for professional development, tuition reimbursement, and career advancement within the organization.
Application Process
If you are passionate about turning real‑world health data into evidence that drives better patient outcomes, we want to hear from you. To apply, please submit your updated resume and a brief cover letter outlining your relevant experience and why you are excited to join careerzynith’s RWE team.
Join careerzynith today and become part of a mission‑driven community that is reshaping the future of health‑care through data‑powered insight.