About careerzynith
careerzynith is a forward-thinking, data-driven organization operating at the intersection of healthcare, life sciences, and advanced analytics. We partner with biopharmaceutical companies, research institutions, and clinical teams to unlock the power of real-world data (RWD) and transform it into actionable real-world evidence (RWE). In an industry where patient outcomes, treatment effectiveness, and cost efficiency determine the future of medicine, careerzynith stands as a trusted analytical partner committed to scientific excellence and innovation.
Our remote-first work culture empowers talented professionals from across the country to collaborate on meaningful projects that impact global health. We believe that the best insights come from diverse minds working together, supported by cutting-edge technology, structured mentorship, and an unwavering commitment to integrity. If you are passionate about using data science to solve complex healthcare challenges, careerzynith offers an environment where your analytical skills can flourish and your contributions can shape the future of evidence-based medicine.
Position Overview
We are seeking a highly motivated and analytically rigorous Real-World Evidence (RWE) Data Scientist to join our Scientific Affairs team at careerzynith. In this role, you will be responsible for generating real-world evidence through advanced statistical analysis, machine learning, and innovative methodologies within the clinical trials and healthcare research domain. You will serve as a key contributor to our Scientific Issues group, helping internal and external stakeholders make data-informed decisions that improve patient care and drive therapeutic innovation.
This is a full-time remote opportunity based in North Carolina, USA, with flexible work hours totaling 8 hours per day. The role reports directly to the Director of Clinical Data Science and offers a competitive hourly compensation of $20–$30, commensurate with experience and qualifications.
Key Responsibilities
- Data Mining and Preparation: Mine raw, complex datasets to deliver standardized, analysis-ready patient cohorts from internal data assets or licensed platforms. Interpret findings and help shape overall analytical strategy.
- Cross-Functional Collaboration: Partner with various members of the careerzynith Clinical Trial team to deliver meaningful insights from real-world, clinical, and supplementary data sources that support biopharmaceutical RWE and clinical trial submissions.
- Disease State and Treatment Analysis: Conduct analyses of unmet medical needs, treatment safety and efficacy in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
- Data Engineering and Storage: Clean, transform, and store data into a unified, organized data lake for future analysis and broader team utilization, ensuring data integrity and accessibility.
- Advanced Statistical Modeling: Perform data mining and statistical analyses to examine RWE/RWD, uncovering new insights related to patient populations, treatment outcomes, and healthcare utilization patterns.
- Platform and Capability Development: Support the development of real-world data, analytics, and platform capabilities by applying advanced analytics tools to address scientific inquiries from biopharmaceutical clients.
- Outcomes Research: Collaborate on the design and execution of outcomes research studies, ensuring methodological soundness and clinical relevance.
- Quality Assurance: Ensure high-quality, rigorous, and readily interpretable deliverables from RWE studies and analytical projects.
- Dashboard and Reporting: Build interactive dashboards, analytical tools, and comprehensive reports for both internal stakeholders and external clients.
- Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors, and drive RWD quality assessments to inform strategic procurement and investment decisions.
Essential Qualifications
- Bachelor's degree in a relevant field such as statistics, biostatistics, computer science, mathematics, biomedical engineering, or a related discipline.
- Proven experience in designing and executing robust, reproducible statistical analyses within epidemiology and observational research using healthcare data.
- Strong knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Demonstrated experience handling large datasets from multiple, disparate data sources.
- Prior experience working with protected patient health information (PHI) in a compliant manner.
- Working knowledge of at least one business intelligence or analytics tool, such as Tableau, Power BI, Alteryx, Spotfire, or comparable platforms.
Preferred Qualifications
- PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a closely related field.
- Deep expertise in Electronic Medical Records (EMR) and Health IT systems, disease registries, and insurance claims databases.
- Proficiency in clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data, including ontologies such as ICD-9, ICD-10, and Read Code.
- Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
- Background working with alternative data sources and innovative methods of clinical data collection, particularly those enabled by technology platforms and connected devices.
- Experience with exploratory study design, Bayesian modeling, sequential data analysis, and computational statistics.
- Solid understanding of machine learning techniques, with a demonstrated ability to continuously develop both technical and non-technical skills.
Core Skills and Competencies
- Strong analytical thinking and problem-solving abilities with attention to detail.
- Excellent written and verbal communication skills, with the ability to translate complex findings into clear, actionable insights for non-technical audiences.
- Proficiency in programming languages such as Python, R, SQL, or SAS.
- Ability to manage multiple projects simultaneously while meeting tight deadlines in a fast-paced environment.
- Self-motivated with a strong sense of ownership and accountability.
- Collaborative mindset with the ability to work effectively across cross-functional teams.
- Commitment to data privacy, security, and ethical research practices.
Why Join careerzynith?
Career Growth and Learning Opportunities
At careerzynith, we are deeply committed to the professional development of every team member. You will have access to continuous learning resources, conference attendance opportunities, mentorship programs, and structured career advancement pathways. Whether you aspire to deepen your expertise in biostatistics, expand into machine learning engineering, or transition into leadership, we provide the support and resources to help you achieve your goals.
Innovative Work Environment
Our remote-first model allows you to work from the comfort of your home while collaborating with some of the brightest minds in healthcare analytics. You will work with state-of-the-art technology stacks, modern data infrastructure, and a culture that values curiosity, experimentation, and scientific rigor.
Collaborative Culture
We pride ourselves on fostering an inclusive, diverse, and supportive work environment. At careerzynith, every voice matters, and we believe that the best solutions emerge when people from different backgrounds, perspectives, and experiences come together. Our team celebrates collaboration, knowledge sharing, and mutual respect.
Compensation and Benefits
- Competitive hourly compensation ranging from $20 to $30, based on experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off, including vacation, sick days, and company holidays.
- Retirement savings plan with company matching contributions.
- Flexible work hours and the ability to work remotely from anywhere within North Carolina.
- Professional development stipend for certifications, courses, and conference attendance.
- Wellness programs designed to support your physical and mental well-being.
- Home office setup allowance to ensure you have the tools and equipment you need to succeed.
How to Apply
If you are a passionate data scientist with a drive to make a meaningful impact in healthcare, we invite you to join the careerzynith team. This is more than a job — it is an opportunity to contribute to groundbreaking research that improves patient lives, advances medical knowledge, and shapes the future of evidence-based medicine.
Bring your analytical expertise, your curiosity, and your commitment to scientific excellence. Bring your passion for turning complex data into clear insights. Bring your vision for a healthier world powered by better evidence. At careerzynith, you will find the platform, the people, and the purpose to do your best work yet.
Ready to take the next step in your career? We encourage you to apply today and become part of a team that is redefining what is possible in healthcare analytics. careerzynith is an equal opportunity employer, and we welcome applicants from all backgrounds, identities, and experiences. Together, we will build the future of real-world evidence.