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About careerzynith – Pioneering Data‑Driven Health Solutions
careerzynith is a global leader in turning complex health data into actionable insights that improve patient outcomes, accelerate therapeutic development, and shape the future of healthcare. With a heritage of innovation dating back over a century, careerzynith combines deep clinical expertise, cutting‑edge technology, and a collaborative culture to deliver real‑world evidence (RWE) that powers decision‑making for pharmaceutical partners, payers, and providers worldwide. Our remote teams are empowered to work from anywhere while staying connected to a vibrant community of data scientists, clinicians, and industry experts.
Why This Role Matters
As a Remote Real‑World Evidence Data Scientist at careerzynith, you will be at the heart of our Clinical Analytics division, translating raw health data into certified evidence that informs drug development, health‑economic assessments, and regulatory submissions. Your analytical rigor and innovative mindset will directly influence how new therapies are evaluated for safety, effectiveness, and value in real‑world settings.
Key Responsibilities
- Data Extraction & Normalization: Mine raw data sets from internal databases and external sources, transform them into analysis‑ready patient cohorts, and ensure consistent, high‑quality data pipelines.
- Collaborative Insight Generation: Partner with clinicians, epidemiologists, and external pharmaceutical partners to surface meaningful insights from real‑world and clinical data, supporting studies on unmet needs, treatment patterns, and cost‑effectiveness.
- Data Lake Management: Clean, curate, and store data in a unified data lake, enabling downstream analytics and cross‑functional reuse across the organization.
- Advanced Statistical & Machine Learning Analyses: Conduct robust statistical testing, predictive modeling, and causal inference to uncover trends in patient populations and treatment outcomes.
- Methodology Development: Design and implement reproducible analytical frameworks that meet regulatory standards for RWE generation, including Good Clinical Practice (GCP) and ISO compliance.
- Dashboard & Reporting: Build interactive visualizations and comprehensive reports using BI tools to communicate findings to internal stakeholders and external clients.
- Data Quality Assurance: Perform rigorous data quality assessments on new data sources, driving continuous improvement of data integrity and reliability.
- Project Planning & Execution: Contribute to the planning, execution, and delivery of research projects, ensuring timelines, milestones, and deliverables are met.
- Thought Leadership: Stay abreast of emerging analytics techniques, AI/ML advancements, and industry best practices, sharing knowledge across the team.
Essential Qualifications
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Mathematics, Epidemiology, or related field).
- Proven experience designing and executing robust statistical analyses for disease epidemiology or health services research.
- Hands‑on expertise with statistical methods such as regression modeling, propensity score matching, survival analysis, time‑series analysis, and longitudinal data techniques.
- Demonstrated ability to work with large, multi‑source health data sets, including claims, electronic medical records (EMR), and registries.
- Experience handling protected health information (PHI) in compliance with HIPAA and other privacy regulations.
- Proficiency in at least one BI/visualization platform (e.g., Tableau, Power BI, Alteryx, Spotfire) and strong data‑wrangling skills in SQL, Python, or R.
Preferred Qualifications & Skills
- Advanced degree (PhD, MSc) in Biostatistics, Epidemiology, Data Science, or a related discipline.
- Familiarity with EMR/Health IT systems, disease registries, and insurance claims data.
- Knowledge of clinical terminology standards and ontologies (ICD‑9/10, SNOMED CT, Read Codes).
- Experience with Good Clinical Practice (GCP) and regulatory compliance frameworks (ISO, MDD/MDR, CFR) for evidence generation.
- Exposure to advanced analytics techniques such as Bayesian modeling, hierarchical modeling, and causal inference methods.
- Understanding of AI/ML pipelines and a willingness to self‑direct learning in emerging analytical domains.
- Strong communication skills, with the ability to translate complex statistical concepts into clear, actionable insights for non‑technical audiences.
Core Skills & Competencies
- Analytical Rigor: Ability to design reproducible, scientifically sound analyses that withstand peer review and regulatory scrutiny.
- Technical Proficiency: Mastery of statistical software (R, SAS, Stata) and programming languages (Python, SQL) for data manipulation and modeling.
- Data Visualization: Expertise in creating compelling dashboards and visual narratives that drive decision‑making.
- Collaboration: Proven track record of working effectively in cross‑functional, remote teams, fostering open communication and shared ownership of outcomes.
- Problem‑Solving: Creative approach to tackling ambiguous business questions and turning them into structured analytical projects.
- Regulatory Acumen: Understanding of the regulatory landscape governing RWE, including FDA guidance and EMA expectations.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its talent. In this role, you will have access to:
- Mentorship from senior data scientists and clinical experts.
- Sponsored certifications in advanced analytics, data engineering, and regulatory science.
- Opportunities to lead high‑impact projects and present findings at industry conferences.
- Cross‑training programs that expose you to drug development, health economics, and market access.
- A clear career ladder from Analyst to Senior Scientist, Principal Scientist, and eventually Director of Real‑World Evidence.
Work Environment & Culture at careerzynith
Our remote‑first philosophy means you can work from any location while staying connected through state‑of‑the‑art collaboration tools, virtual coffee chats, and regular team‑wide town halls. careerzynith fosters an inclusive, supportive culture where curiosity is celebrated, diversity of thought is encouraged, and every voice matters. We champion work‑life balance, flexible scheduling, and a results‑oriented mindset that empowers you to deliver your best work on your own terms.
Compensation, Perks & Benefits
While exact compensation will be discussed during the interview process, the role offers a competitive hourly rate of $26, plus performance‑based bonuses. Additional benefits include:
- Comprehensive health, dental, and vision insurance plans.
- Prescription drug discounts through careerzynith’s pharmacy network.
- Employee Assistance Program (EAP) for confidential counseling and support.
- Generous paid time off, holidays, and sick leave.
- Retirement savings options with employer matching contributions.
- Employee discounts on wellness products and services.
- Professional development budget for courses, certifications, and conferences.
- Wellness initiatives such as virtual fitness challenges, health screenings, and mental‑health resources.
- Flexible work hours and remote‑friendly policies to accommodate personal needs.
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 environment, we want to hear from you. Join careerzynith’s mission‑driven team and help shape the future of healthcare analytics.
Apply today and start your journey with careerzynith!
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