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About careerzynith and the Opportunity
Join careerzynith, a forward-thinking organization at the intersection of healthcare innovation, data science, and remote work excellence. We are seeking a highly motivated and analytically driven professional to step into the role of Account Manager within our Real World Evidence (RWE) division. This position is designed for a versatile individual who thrives at the intersection of data science, clinical research, and client engagement. As part of careerzynith's Scientific Affairs team, you will play a pivotal role in shaping how internal stakeholders and external partners leverage real-world data to drive meaningful decisions in the healthcare and biopharmaceutical industries.
At careerzynith, we believe that the future of healthcare depends on transforming vast streams of clinical and patient data into actionable intelligence. Our remote-first culture empowers talented professionals from across the country to contribute to groundbreaking research that ultimately improves patient outcomes, optimizes treatment strategies, and informs the development of life-changing therapies. If you are passionate about data-driven discovery, enjoy solving complex analytical challenges, and want to make a tangible impact in the world of clinical research, this is the opportunity you have been waiting for.
Position Overview
We are hiring a full-time Account Manager – Real World Evidence Data Science professional to join our expanding remote team. This role reports directly to the Director of Clinical Data Science at careerzynith and operates within our Scientific Issues group. The successful candidate will be responsible for generating high-quality Real World Evidence (RWE) through advanced analytical techniques and innovative methodologies within the clinical trials domain. Beyond technical analysis, this position carries a strong client-facing component, making it ideal for someone who enjoys combining scientific rigor with strategic account management.
The base pay for this position ranges from $20 to $30 per hour, depending on experience, education, and demonstrated expertise. This is a full-time, 40-hour-per-week remote opportunity based out of North Carolina, USA, with flexibility to support work-life balance and professional productivity.
Key Responsibilities
- Data Mining and Preparation: Mine raw, complex datasets to deliver standardized, analysis-ready patient cohorts from in-house data assets and licensed platforms. Analyze and interpret results to help shape the overall analytical strategy for ongoing projects.
- Cross-Functional Collaboration: Partner with members of the careerzynith Clinical Trials team to deliver meaningful insights derived from real-world, clinical, and complementary data sources. These insights will directly support biopharmaceutical RWE initiatives and clinical trial requests.
- Healthcare Analytics Projects: Lead and contribute to analyses covering unmet medical needs, safety and effectiveness of treatments in specific disease states, treatment patterns, healthcare economic burden assessments, and cost-effectiveness modeling efforts.
- Data Curation and Governance: Clean, transform, and store data into an organized data lake, ensuring it is ready for future analysis and accessible to broader team members across careerzynith.
- Statistical Analysis: Perform data mining and advanced statistical analysis on RWE and RWD sources to uncover new insights about patient populations, treatment outcomes, and emerging healthcare trends.
- Platform Development: Support the development of real-world data analytics and platform capabilities, applying advanced analytical methods and tools to address scientific questions from biopharmaceutical partners.
- Outcomes Research: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity throughout the process.
- Quality Assurance: Ensure high-quality, comprehensive, and readily interpretable deliverables from RWE studies and analyses, maintaining the scientific standards that careerzynith is known for.
- Dashboard and Reporting: Build dashboards, analytical tools, and reports for both internal stakeholders and external clients, transforming complex data into accessible visualizations and narratives.
- Vendor Evaluation: Conduct thorough due diligence on prospective real-world data providers and vendors, and drive RWD quality assessments to inform strategic sourcing and investment decisions at careerzynith.
- Client Account Management: Serve as a primary point of contact for assigned accounts, managing expectations, communicating findings, and ensuring the delivery of high-impact analytical solutions that meet client needs.
Essential Qualifications
- Bachelor's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a closely related quantitative field.
- Experience in designing and executing robust, reproducible statistical analyses within the context of epidemiology and observational research using healthcare data.
- Working knowledge of common statistical testing methods, including generalized linear models, classification and discrimination techniques, decision trees, unsupervised learning approaches, time series analysis, and survival analysis.
- Demonstrated experience handling large datasets drawn from multiple disparate sources.
- Experience working with protected patient health information in a compliant and ethical manner.
- Proficiency in at least one of the following business intelligence or analytics tools: Tableau, Power BI, Alteryx, Spotfire, or comparable platforms.
- Strong communication skills with the ability to translate technical findings into actionable business insights for non-technical audiences.
- Self-motivated with the capacity to work independently in a remote environment while collaborating effectively with distributed teams.
Preferred Qualifications
- PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related discipline.
- Mastery of electronic medical records (EMR), health information technology systems, disease registries, and insurance claims databases.
- Deep expertise in clinical data standards, clinical terminologies, and controlled vocabularies commonly used in healthcare data and ontologies, including ICD-9, ICD-10, and Read Code.
- Experience in Good Clinical Practice (GCP) and familiarity with regulatory compliance guidelines governing real-world evidence analyses or clinical trials, such as ISO, MDD/MDR, and CFR standards.
- Experience working with alternative data sources and non-traditional methods of clinical data collection, particularly those enabled by emerging technology platforms and innovative arrangements.
- Background in experimental design, Bayesian modeling, sequential data analysis, and computational statistics.
- Solid understanding of statistical and machine learning methodologies, with a demonstrated ability to continuously self-learn both technical and non-technical skills.
- Prior account management experience in a healthcare, pharmaceutical, or life sciences context is highly desirable.
Core Skills and Competencies for Success
- Analytical Thinking: A natural ability to dissect complex problems, identify patterns, and develop evidence-based solutions.
- Technical Versatility: Comfort navigating multiple programming languages, statistical software packages, and data visualization platforms.
- Project Management: Strong organizational skills with the ability to juggle multiple client accounts and analytical projects simultaneously.
- Communication Excellence: Outstanding written and verbal communication skills for presenting findings to technical peers, executive leadership, and external clients.
- Collaboration: A team-oriented mindset that thrives in cross-functional environments with scientific, technical, and business stakeholders.
- Adaptability: Willingness to embrace new tools, methodologies, and evolving industry standards in a fast-paced healthcare analytics landscape.
Career Growth and Learning Opportunities at careerzynith
At careerzynith, your growth is our growth. We invest in our people by providing access to ongoing professional development, conference attendance, advanced training in the latest data science methodologies, and mentorship from senior leaders in the field. As our Account Manager in RWE Data Science, you will have a clear pathway to senior roles within Scientific Affairs, Client Strategy, or Data Science leadership. Many of our team members have advanced into director-level positions, principal scientist roles, and strategic leadership tracks within just a few years of joining careerzynith. We celebrate curiosity and reward initiative, giving you the freedom to explore new analytical approaches and contribute to thought leadership in the broader healthcare analytics community.
Work Environment and Company Culture
careerzynith is proud to maintain a vibrant, inclusive, and remote-friendly culture where every team member's voice matters. We operate with the agility of a startup and the sophistication of an established industry leader. Our team is distributed across the country, yet deeply connected through regular virtual team-building activities, knowledge-sharing sessions, and annual in-person gatherings. We champion diversity, equity, and inclusion in all aspects of our hiring, development, and daily collaboration. The result is a workplace where innovation flourishes, ideas are welcomed from every level, and the work we do has a genuine impact on patient lives around the world.
Compensation, Perks, and Benefits
- Competitive hourly pay ranging from $20 to $30, commensurate with experience and qualifications.
- Comprehensive medical, dental, and vision insurance plans.
- Generous paid time off, including vacation days, sick leave, and recognized company holidays.
- 401(k) retirement plan with company matching contributions.
- Professional development stipend for certifications, courses, and conference attendance.
- Flexible remote work arrangements with home office setup support.
- Wellness programs, including mental health resources and fitness reimbursement.
- Employee recognition programs and performance-based bonuses.
How to Apply
If you are ready to take the next step in your career and join a passionate team that is reshaping how real-world evidence drives healthcare decisions, careerzynith wants to hear from you. Bring your analytical expertise, your curiosity, and your commitment to making a difference. We review applications on a rolling basis and encourage qualified candidates to apply promptly. Take the leap, apply today, and become a key contributor to the future of healthcare analytics with careerzynith.
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