careerzynith stands at the forefront of healthcare innovation, where data meets purpose. As a leader in clinical research and biopharmaceutical partnerships, careerzynith is committed to transforming how real-world evidence (RWE) shapes patient care, drug development, and clinical trial design. Our Scientific Affairs team operates at the intersection of advanced analytics, epidemiology, and medical science, working with some of the most influential biopharmaceutical companies in the world. At careerzynith, we believe that every data point tells a story about human health, and every analytical insight has the potential to save lives, accelerate treatment discovery, and improve outcomes for patient populations around the globe.
Joining careerzynith means becoming part of a mission-driven organization that blends cutting-edge data science with deep clinical expertise. Our team thrives on intellectual curiosity, collaborative problem-solving, and the relentless pursuit of evidence that drives meaningful change. We are a fully remote-friendly organization that values flexibility, autonomy, and outcomes, while fostering a culture of inclusion, continuous learning, and professional excellence. If you are a data scientist who is passionate about healthcare, eager to apply advanced statistical methods to real-world challenges, and excited to influence decision-making at the highest levels, careerzynith is the place where your work will have extraordinary impact.
We are seeking a talented and motivated Real-World Evidence (RWE) Data Scientist to join our Scientific Issues team at careerzynith. This full-time, remote-eligible role is based in North Carolina, USA, and reports directly to the Director of Clinical Data Science. The successful candidate will play an instrumental role in generating rigorous real-world evidence through advanced analytics and innovative methodologies within the clinical trials and biopharmaceutical research space. You will be responsible for designing and executing sophisticated analyses that inform both internal strategy and external partnerships with biopharmaceutical sponsors, healthcare providers, and research institutions.
As an RWE Data Scientist at careerzynith, you will harness vast, complex healthcare datasets to uncover insights that drive smarter clinical trial design, enable evidence-based decision-making, and ultimately improve patient outcomes. You will work with protected health information (PHI), insurance claims, electronic medical records (EMR), and other licensed data assets to deliver standardized, analysis-ready patient cohorts, build predictive models, and craft compelling narratives from data. This is not a typical data entry or virtual assistant position — it is a high-impact, intellectually rigorous role for someone who wants to leverage data science as a force for good in healthcare.
To excel as a Real-World Evidence Data Scientist at careerzynith, you will need a blend of technical, analytical, and interpersonal skills. You should be highly proficient in programming languages commonly used in data science such as Python, R, or SAS, and comfortable working in cloud-based or hybrid computing environments. Strong SQL skills and experience with relational databases are essential. Beyond technical capabilities, you must possess exceptional critical thinking skills, the ability to translate ambiguous business questions into structured analytical approaches, and outstanding written and verbal communication skills to convey complex findings to non-technical audiences. You should be a self-starter who thrives in a remote work environment, demonstrates strong project management capabilities, and is comfortable managing multiple priorities in a fast-paced, deadline-driven setting. Intellectual humility, attention to detail, and an unwavering commitment to data integrity are non-negotiable.
At careerzynith, we are deeply invested in the professional development of our team members. As an RWE Data Scientist, you will have access to a generous continuing education budget, opportunities to attend leading industry conferences such as ISPOR, DIA, and AMIA, and dedicated time each quarter for personal skill development. We offer a clear career progression framework that allows you to grow from a contributing individual contributor into senior scientific, technical, or leadership roles. Many of our data scientists have transitioned into principal scientist positions, team leadership, or strategic consulting roles within careerzynith. You will work alongside some of the most respected minds in real-world evidence and clinical research, building a network and reputation that will serve you throughout your career. We also partner with academic institutions to support employees pursuing advanced degrees and certifications in biostatistics, epidemiology, and data science.
careerzynith is a remote-first organization that trusts our team members to deliver exceptional results from wherever they work best. We cultivate a culture of transparency, mutual respect, and shared purpose, where every team member understands how their work contributes to our mission. Our leadership team is approachable, accessible, and committed to removing barriers that stand in the way of great work. We celebrate diversity in all its forms and are proud to be an equal opportunity employer. Regular virtual team-building events, annual in-person retreats, and robust employee resource groups help foster genuine connection across our distributed workforce. At careerzynith, your voice matters, your ideas are heard, and your contributions are recognized.
careerzynith offers a competitive compensation package designed to attract and retain top talent. For this position, the hourly pay range is $20 to $30, commensurate with experience, education, and demonstrated skills. Full-time employees enjoy a comprehensive benefits package that includes:
If you are ready to bring your data science expertise to a role where it truly matters, careerzynith wants to hear from you. This is more than a job — it is an opportunity to shape the future of real-world evidence and contribute to groundbreaking research that improves the lives of patients worldwide. We review applications on a rolling basis and encourage qualified candidates to apply promptly. Please submit your resume, a cover letter detailing your relevant experience and motivation for joining careerzynith, and any portfolio materials that showcase your analytical work. Join careerzynith, and become part of a team that is redefining what is possible in healthcare data science.
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