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About careerzynith – Pioneering Innovation in Healthcare Data
careerzynith is a global leader in the pharmaceutical and health‑technology space, dedicated to transforming raw clinical data into actionable insights that improve patient outcomes worldwide. With a strong commitment to scientific rigor, cutting‑edge technology, and a collaborative culture, careerzynith empowers its teams to tackle complex real‑world evidence (RWE) challenges that shape the future of medicine. As a remote‑first organization, careerzynith offers flexible work arrangements, a supportive community, and the resources needed for professionals to thrive while making a tangible impact on public health.
Position Overview
careerzynith is seeking a highly motivated Part‑Time Real‑World Evidence Data Scientist to join our Clinical Information Science team. This remote role focuses on extracting, cleaning, and analyzing large‑scale healthcare datasets to generate genuine proof (RWE) that informs drug development, health‑economic assessments, and strategic decision‑making. The successful candidate will work closely with clinical researchers, biopharma partners, and data engineers to translate complex data into clear, evidence‑based recommendations.
Key Responsibilities
- Mine raw data collections from internal careerzynith repositories and external licensed platforms to produce normalized, analysis‑ready patient cohorts.
- Collaborate with cross‑functional members of the careerzynith Clinical Research team to surface critical insights from real‑world, clinical, and other data sources that support biopharma RWE and clinical research initiatives.
- Clean, transform, and store data in a structured data lake, ensuring consistency and accessibility for downstream analytics and broader team use.
- Perform data mining and statistical analysis to dissect RWE/RWD, uncovering novel insights about patient populations, treatment outcomes, and disease progression.
- Maintain and enhance real‑world data acquisition, analysis, and platform capabilities by applying advanced research methods and tools to solve scientific questions from pharmaceutical partners.
- Partner on the design and execution of outcomes research studies, ensuring methodological rigor and alignment with regulatory standards.
- Deliver high‑quality, timely, and interpretable results from RWE analyses, adhering to internal quality standards and external compliance requirements.
- Develop interactive dashboards, visualizations, and comprehensive reports for internal stakeholders and external collaborators.
- Conduct feasibility assessments of new real‑world data sources, driving data quality evaluations that inform project prioritization and investment decisions.
Essential Qualifications
- Education: Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Epidemiology, Bioinformatics, or a related field.
- Experience: Minimum of 2 years of hands‑on experience with R, Python, or SQL for data manipulation and analysis.
- Demonstrated ability to design and execute robust, reproducible statistical analyses focused on disease epidemiology and observational research using healthcare data.
- Strong knowledge of standard statistical testing methods, including regression models, clustering, classification, time‑series analysis, and survival analysis.
- Proven experience handling large, heterogeneous datasets from multiple sources (e.g., claims, EMR, registries).
- Familiarity with data privacy regulations and best practices for handling protected health information (PHI).
- Experience with at least one business intelligence or data‑visualization tool such as Tableau, Power BI, Alteryx, Spotfire, or similar.
Preferred Qualifications & Skills
- Advanced degree (M.S. or Ph.D.) in a relevant quantitative field.
- Expertise in EMR/Health‑IT systems, disease ontologies, and claims data structures.
- Understanding of clinical data standards and vocabularies (ICD‑9/10, SNOMED CT, Read Codes, etc.).
- Experience with Good Clinical Practice (GCP) and regulatory compliance frameworks such as ISO, MDD/MDR, and CFR for real‑world evidence studies.
- Hands‑on experience with data‑source platforms and emerging technologies for clinical data collection (e.g., wearable devices, digital health apps).
- Familiarity with trial design, Bayesian modeling, longitudinal data analysis, and advanced analytics techniques.
- Knowledge of AI/ML methodologies 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 plans and deliver statistically sound conclusions.
- Technical Proficiency: Strong coding skills in R or Python, SQL query optimization, and experience with data‑engineering pipelines.
- Communication: Clear, concise presentation of findings to both technical and non‑technical audiences, including senior leadership and external partners.
- Collaboration: Proven track record of working effectively in multidisciplinary teams, fostering knowledge sharing, and building consensus.
- Problem‑Solving: Creative approach to data challenges, with a focus on innovative solutions that drive business impact.
- Ethical Stewardship: Commitment to data privacy, security, and ethical use of patient information.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Part‑Time Real‑World Evidence Data Scientist, you will have access to:
- Mentorship from senior scientists and industry experts within the Clinical Information Science division.
- Sponsored certifications and training programs in advanced analytics, machine learning, and health‑economics.
- Opportunities to present research at internal symposiums and external conferences, enhancing your professional visibility.
- Pathways to transition into full‑time or senior roles, including Lead Data Scientist, RWE Project Manager, or Clinical Analytics Director.
- Cross‑functional exposure to regulatory affairs, market access, and product development teams, broadening your strategic perspective.
Work Environment & Culture at careerzynith
careerzynith cultivates a vibrant, inclusive, and remote‑friendly culture where curiosity is celebrated and collaboration is the norm. Key aspects of our workplace include:
- Flexibility: Fully remote work model with flexible scheduling to accommodate personal commitments.
- Diversity & Inclusion: A commitment to building a workforce that reflects the patients we serve, with employee resource groups and inclusive policies.
- Innovation Hub: Access to state‑of‑the‑art analytics platforms, cloud infrastructure, and a sandbox environment for experimental research.
- Well‑Being Programs: Comprehensive mental‑health resources, virtual fitness classes, and a generous paid‑time‑off policy.
- Recognition: Regular acknowledgment of individual and team achievements through awards, spot bonuses, and public shout‑outs.
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:
- Performance‑based bonuses tied to project milestones and impact.
- Health, dental, and vision coverage options (prorated for part‑time hours).
- Retirement savings plan with employer matching contributions.
- Professional development stipend for conferences, courses, and certifications.
- Technology allowance for home office setup, including ergonomic furniture and high‑speed internet support.
- Access to careerzynith’s employee assistance program and wellness resources.
How to Apply
If you are passionate about turning real‑world data into meaningful evidence and thrive in a collaborative, remote environment, we want to hear from you. Click the link below to submit your application and join careerzynith’s mission to advance healthcare through data‑driven discovery.
Apply Now – Become a Part‑Time RWE Data Scientist at careerzynith
Closing Statement
careerzynith is dedicated to building a diverse team of innovators who are eager to solve the most pressing challenges in healthcare. By joining our Clinical Information Science group, you will play a pivotal role in shaping evidence that influences treatment pathways, policy decisions, and patient lives worldwide. Take the next step in your career and help us unlock the power of real‑world data.
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