Job Description:
Join careerzynith as a Data Scientist – Real World Evidence Research
Are you passionate about transforming healthcare through data-driven insights? careerzynith is seeking a talented and motivated Data Scientist to join our Clinical Data Science team in Orlando, Florida. In this pivotal role, you will be responsible for generating robust Real World Evidence (RWE) through advanced research methodologies and innovative analytical approaches in the clinical trials space. This is a unique opportunity to make a meaningful impact on healthcare outcomes by leveraging your expertise in data science, statistics, and healthcare analytics.
As an Information Researcher at careerzynith, you will be an integral part of our Scientific Projects team, working collaboratively to address complex business questions through sophisticated data analysis. Your work will directly influence both internal strategic decision-making and external collaborations with biopharmaceutical partners. This position reports to the Chief of Clinical Data Science and offers significant exposure to cutting-edge healthcare research initiatives.
Key Responsibilities
As a Data Scientist specializing in Real World Evidence at careerzynith, you will be entrusted with a comprehensive set of responsibilities that span data acquisition, analysis, and strategic insight generation:
- Data Mining and Preparation: Extract and transform raw datasets from internal data sources and authorized platforms to create normalized, analysis-ready patient cohorts. You will clean, validate, and structure complex healthcare data while ensuring data integrity and consistency throughout the pipeline.
- Statistical Analysis: Conduct rigorous statistical analyses on Real World Evidence (RWE) and Real World Data (RWD) to uncover new insights regarding patient populations, treatment outcomes, and disease patterns. Apply advanced statistical methodologies including generalized linear models, clustering analysis, decision trees, unsupervised learning techniques, time series analysis, and survival analysis.
- Cross-Functional Collaboration: Partner with various members of the careerzynith Clinical Trials team to deliver actionable insights from real world, clinical, and other data sources. Collaborate on projects addressing unmet medical needs, treatment efficacy in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
- Data Infrastructure Development: Clean, transform, and store data into an integrated data lake architecture designed for future analysis and broader team utilization. Ensure data quality, accessibility, and security compliance throughout the data management lifecycle.
- Research Study Design: Collaborate on the design and execution of outcomes research studies, including protocol development, statistical analysis planning, and result interpretation. Ensure all research activities maintain scientific rigor and regulatory compliance.
- Dashboard and Report Development: Build comprehensive dashboards, analyses, and reports for both internal strategic planning and external stakeholder communication. Create clear, actionable visualizations that communicate complex findings effectively.
- Vendor Management: Conduct due diligence on new real world data suppliers and vendors, driving RWD quality evaluations to inform project decisions and ensure data accuracy and reliability.
- Quality Assurance: Ensure high-quality, thorough, and readily interpretable deliverables from RWE reviews and investigations. Implement quality control processes and validation procedures to maintain research standards.
Essential Qualifications
To succeed in this role at careerzynith, candidates must possess the following core competencies and experience:
- Statistical Analysis Expertise: Demonstrated experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research using healthcare data. Strong foundation in statistical theory and practical application.
- Advanced Statistical Methods: Proficiency in normal statistical testing techniques including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Big Data Handling: Demonstrated experience processing and analyzing large datasets from diverse data sources. Ability to work with complex data structures and high-volume information systems.
- Healthcare Data Privacy: Knowledge of and experience handling protected patient health information (PHI) with strict adherence to HIPAA regulations and data privacy requirements.
- Business Intelligence Tools: Proficiency in at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools.
- Educational Background: Bachelor's degree in statistics, biostatistics, computer science, mathematics, data science, or a related quantitative field.
Preferred Qualifications
While not required, the following qualifications will significantly strengthen your application and may be considered during the selection process:
- Advanced Degree: PhD, Master's degree, or Graduate degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
- Healthcare Data Environment: Strong familiarity with EMR/Electronic Health Record systems, disease registries, and insurance claims databases. Understanding of healthcare data ecosystems and patient journey mapping.
- Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/ICD-10 and ReadCode classification systems.
- Regulatory Compliance: Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real world evidence studies or clinical trials, including ISO standards, MDD/MDR, and CFR requirements.
- Innovative Data Collection: Experience working with alternative data sources and novel methodologies for clinical data collection, particularly those enabled by technology platforms and digital health solutions.
- Advanced Modeling Techniques: Knowledge of experimental design, Bayesian modeling, sequential analysis, and computational statistics. Familiarity with machine learning approaches in healthcare contexts.
Skills and Competencies Required for Success
Beyond technical qualifications, careerzynith seeks candidates who demonstrate the following essential skills and professional attributes:
- Strong analytical thinking and problem-solving abilities with attention to detail
- Excellent written and verbal communication skills for presenting complex findings to diverse audiences
- Ability to work independently and collaboratively in a team-oriented environment
- Demonstrated initiative and self-motivation in pursuing research objectives
- Strong organizational and project management capabilities
- Commitment to continuous learning and professional development
- Ability to manage multiple projects and priorities simultaneously
Career Growth Opportunities and Learning Benefits
At careerzynith, we are committed to fostering the professional development and career advancement of our team members. As a Data Scientist in our Clinical Data Science division, you will have access to:
- Advanced Training Programs: Comprehensive training opportunities in cutting-edge statistical methodologies, machine learning techniques, and healthcare analytics platforms.
- Professional Development Initiatives: Support for attending industry conferences, obtaining relevant certifications, and pursuing advanced educational credentials.
- Career Advancement Pathways: Clear progression pathways to senior analytical roles, team leadership positions, and specialized research track opportunities.
- Cross-Functional Exposure: Opportunities to work across different business units and therapeutic areas, broadening your healthcare domain expertise.
- Industry Network Building: Access to a network of industry professionals, academic collaborators, and biopharmaceutical partners.
Work Environment and Company Culture at careerzynith
careerzynith is a well-known American healthcare and pharmaceutical services company with a rich history dating back to 1901. Founded in Chicago, Illinois, we have grown to become one of the most trusted names in healthcare retail and clinical services across the United States. Our commitment to innovation, customer service, and community health has made us a leader in the healthcare industry.
At careerzynith, we believe in fostering a collaborative, inclusive, and innovative work environment. Our employees are our greatest asset, and we are committed to providing a workplace that values diversity, encourages creativity, and promotes work-life balance. We offer flexible scheduling options and remote work arrangements where applicable, allowing our team members to thrive both professionally and personally.
Our culture is built on core values that emphasize integrity, excellence, and a commitment to improving health outcomes for the communities we serve. As part of our team, you will contribute to meaningful work that makes a real difference in people's lives.
Compensation, Perks, and Benefits
careerzynith is proud to offer a competitive compensation package that reflects the importance of your expertise and contributions:
- Competitive Hourly Rate: $26 per hour, with opportunities for performance-based increases
- Comprehensive Health Coverage: Medical, dental, and vision insurance for eligible employees and their families
- Paid Time Off: Generous paid time off policies including holidays, vacations, and sick leave
- Retirement Savings: 401(k) retirement savings plans with employer matching contributions
- Employee Discounts: Exclusive discounts on products and services available at careerzynith locations
- Employee Assistance Program: Confidential counseling and support services for employees and their families
- Wellness Programs: Comprehensive wellness initiatives including fitness challenges, health screenings, and wellness resources
- Professional Development: Training programs, skills development initiatives, and career advancement opportunities
- Flexible Scheduling: Flexible scheduling options to meet diverse employee needs based on role requirements
Conclusion
Are you ready to advance your career in healthcare data science while making a meaningful impact on patient outcomes and clinical research? Join careerzynith as a Data Scientist and become part of a dynamic team that is transforming healthcare through innovative data analytics and Real World Evidence research.
We invite qualified candidates who are passionate about leveraging data to drive healthcare insights to apply for this exciting opportunity. At careerzynith, you will find more than just a job—you will find a rewarding career where your skills and expertise can truly make a difference.
Apply now to join the careerzynith team and take the next step in your professional journey!