```html About careerzynith – Pioneering Innovation in Real‑World Evidence careerzynith is a global leader in healthcare data science, dedicated to transforming raw clinical information into actionable insights that shape the future of medicine. With a robust portfolio of real‑world evidence (RWE) projects, careerzynith partners with pharmaceutical innovators, health‑system leaders, and policy makers to deliver evidence‑based solutions that improve patient outcomes and drive sustainable healthcare economics. Our remote‑first culture empowers talent worldwide to collaborate across interdisciplinary teams, leveraging cutting‑edge analytics, artificial intelligence, and secure data platforms. Why This Role Matters As a Part‑Time Remote Real‑World Evidence Data Scientist at careerzynith, you will be at the heart of our Clinical Data Science team, turning complex, multi‑source datasets into clear, evidence‑driven narratives. Your work will directly influence drug development strategies, health‑technology assessments, and real‑world clinical practice guidelines. This is a unique opportunity to apply your analytical expertise to high‑impact projects while enjoying the flexibility of a remote, part‑time schedule. Key Responsibilities Extract, transform, and load (ETL) raw data collections from internal databases and licensed external sources to create standardized, analysis‑ready patient cohorts. Conduct advanced statistical analyses and machine‑learning modeling to answer critical business questions related to disease epidemiology, treatment patterns, and health‑economic outcomes. Collaborate with cross‑functional stakeholders—including clinical researchers, epidemiologists, and biopharma partners—to translate real‑world data (RWD) into robust real‑world evidence (RWE) deliverables. Maintain and curate a centralized data lake, ensuring data integrity, compliance with privacy regulations, and readiness for downstream analytics. Perform data mining and exploratory analysis to uncover novel insights about patient populations, therapeutic effectiveness, and cost‑effectiveness. Develop and validate reproducible analytical pipelines using R, Python, or SQL, adhering to best practices in version control and documentation. Design, build, and maintain interactive dashboards and visual reports using tools such as Tableau, Power BI, Alteryx, or Spotfire for internal and external consumption. Lead the evaluation of new data sources, assessing data quality, relevance, and alignment with project objectives. Ensure all analytical outputs meet high‑quality standards, are clearly documented, and are delivered on schedule. Stay abreast of emerging methodologies in epidemiology, health economics, and AI‑driven analytics to continuously elevate careerzynith’s analytical capabilities. Essential Qualifications Education Bachelor’s degree in Data Science, Statistics, Computer Science, Epidemiology, Health Informatics, or a related quantitative field. Experience Minimum 2 years of hands‑on experience with R, Python, or SQL in a data‑analysis or research setting. Statistical Expertise Proven ability to design and execute robust, reproducible statistical analyses, including regression modeling, classification, time‑series analysis, and survival analysis. Data Management Experience handling large, heterogeneous datasets from multiple sources, with a strong focus on data cleaning, transformation, and storage. Privacy & Security Demonstrated experience working with protected health information (PHI) and adherence to HIPAA‑compliant data handling practices. BI Tools Proficiency Familiarity with at least one business‑intelligence or data‑visualization platform (e.g., Tableau, Power BI, Alteryx, Spotfire). Preferred Qualifications & Skills Master’s degree or higher in a quantitative discipline. Deep knowledge of electronic medical records (EMR) systems, health‑IT standards, and claims data structures. Understanding of clinical terminology, controlled vocabularies, and ontologies such as ICD‑9/10, SNOMED CT, and Read Codes. Experience with Good Clinical Practice (GCP) and regulatory compliance frameworks (ISO, MDD/MDR, CFR) for real‑world evidence studies. Hands‑on experience with advanced analytics techniques, including Bayesian modeling, causal inference, and machine‑learning pipelines. Familiarity with data‑source acquisition strategies, including partnerships with technology platforms and data aggregators. Exposure to AI/ML concepts and a demonstrated ability to self‑direct learning in emerging analytical domains. Core Skills & Competencies Analytical Rigor Ability to translate complex clinical questions into structured analytical approaches. Communication Strong written and verbal skills to convey technical findings to both scientific and non‑technical audiences. Collaboration Proven teamwork in multidisciplinary environments, fostering constructive dialogue with clinicians, statisticians, and business stakeholders. Problem‑Solving Creative mindset for developing innovative solutions to data‑driven challenges. Time Management Capacity to manage multiple projects simultaneously while meeting deadlines in a part‑time schedule. Ethical Judgment Commitment to data privacy, ethical research practices, and responsible AI usage. Career Growth & Learning Opportunities careerzynith invests heavily in the professional development of its team members. As a part‑time data scientist, you will have access to Mentorship from senior leaders in clinical data science and biopharma research. Sponsored certifications in advanced analytics, data engineering, and regulatory science. Opportunities to present findings at industry conferences and publish in peer‑reviewed journals. Cross‑training programs that expose you to health‑economics, outcomes research, and AI‑driven drug development. A clear career ladder that can transition you from part‑time to full‑time roles, senior analyst positions, or project leadership roles within arenaxflex’s global network. Work Environment & Culture at careerzynith Our remote‑first philosophy means you can work from any location in the United States while staying connected through collaborative platforms, virtual team‑building events, and regular check‑ins with your manager. careerzynith fosters an inclusive, supportive culture where diverse perspectives are celebrated and innovation thrives. Key cultural pillars include Integrity We uphold the highest standards of scientific rigor and ethical conduct. Collaboration Cross‑functional teamwork is at the core of every project. Curiosity Continuous learning and questioning the status quo drive our success. Impact Every analysis contributes to real‑world health improvements. Flexibility Part‑time schedules, flexible hours, and remote work empower work‑life balance. Compensation, Perks & Benefits careerzynith offers a competitive hourly rate of $27, reflective of the specialized expertise required for this role. In addition to base compensation, part‑time team members enjoy Pro‑rated health, dental, and vision insurance options. Retirement savings plan with employer matching contributions. Paid time off (PTO) accrual based on hours worked. Access to a comprehensive learning portal with courses on data science, regulatory affairs, and leadership. Company‑wide wellness programs, including virtual fitness classes and mental‑health resources. Opportunities to earn performance‑based bonuses tied to project milestones. Technology stipend for home office setup, high‑speed internet, and ergonomic equipment. How to Apply If you are passionate about turning real‑world data into meaningful evidence and thrive in a flexible, remote environment, we want to hear from you. Click the link below to submit your application, including a resume and a brief cover letter highlighting your relevant experience and why you’re excited to join careerzynith. Apply Now – Join careerzynith’s Real‑World Evidence Team! Closing Statement careerzynith is committed to building a diverse workforce that reflects the patients and communities we serve. We encourage candidates of all backgrounds to apply. Take the next step in your data science career and help shape the future of healthcare with careerzynith’s innovative RWE initiatives. ``` Apply for this job