About careerzynith
careerzynith is a leading global health‑focused organization that blends retail pharmacy expertise with cutting‑edge data science to drive better outcomes for patients, providers, and the broader healthcare ecosystem. With a heritage that spans more than a century, careerzynith has evolved from a traditional pharmacy chain into a data‑driven health partner, leveraging real‑world evidence (RWE) to inform clinical research, therapeutic decisions, and market access strategies. Our mission is to harness the power of real‑world data (RWD) to create actionable insights that improve the quality, safety, and affordability of care worldwide.
Why This Role Matters
As a Remote Part‑Time Data Scientist – Real‑World Evidence Analyst, you will be at the heart of careerzynith’s Clinical Insights team, turning raw, complex datasets into clear, evidence‑based narratives that shape drug development, regulatory submissions, and health‑policy decisions. This is a unique opportunity to work on high‑impact projects that directly influence patient outcomes while enjoying the flexibility of a remote, part‑time schedule.
Key Responsibilities
- Extract, transform, and load (ETL) raw data from internal databases and external sources to create clean, analysis‑ready patient cohorts.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies within real‑world datasets.
- Collaborate with clinical researchers, epidemiologists, and external partners to translate business questions into robust analytical plans.
- Develop and validate statistical models—including regression, survival analysis, propensity score matching, and machine‑learning algorithms—to assess treatment effectiveness, safety, and cost‑effectiveness.
- Produce reproducible, well‑documented analytical pipelines using R, Python, or SQL, ensuring compliance with Good Clinical Practice (GCP) and data‑privacy regulations.
- Design interactive dashboards and visualizations in Tableau, Power BI, or Spotfire to communicate findings to both technical and non‑technical stakeholders.
- Maintain and enhance a centralized data lake that serves as a single source of truth for RWE projects across careerzynith.
- Participate in cross‑functional project meetings, providing data‑driven insights that guide study design, endpoint selection, and regulatory strategy.
- Ensure data quality and integrity through rigorous validation checks, metadata management, and continuous monitoring of data pipelines.
- Stay abreast of emerging methodologies in real‑world evidence, health economics, and outcomes research, and proactively recommend innovative approaches to the team.
Essential Qualifications
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Epidemiology, Bioinformatics, or related field).
- Minimum of 2 years of hands‑on experience with at least one of the following programming languages: R, Python, or SQL.
- Demonstrated ability to design and execute reproducible statistical analyses on large healthcare datasets.
- Strong foundation in statistical testing methods, including hypothesis testing, regression modeling, clustering, decision trees, and time‑series analysis.
- Experience handling protected health information (PHI) in compliance with HIPAA and other privacy regulations.
- Proficiency with data‑visualization tools such as Tableau, Power BI, Alteryx, or Spotfire.
- Excellent written and verbal communication skills, with the ability to translate complex analytical results into clear business recommendations.
Preferred Qualifications
- Advanced degree (Master’s or PhD) in a relevant quantitative field.
- Hands‑on experience with electronic medical records (EMR) systems, health‑claims data, or disease registries.
- Familiarity with clinical terminologies and ontologies (ICD‑9/10, SNOMED CT, Read Codes).
- Knowledge of Good Clinical Practice (GCP), ISO standards, and regulatory frameworks such as MDD/MDR or CFR for real‑world evidence studies.
- Experience with Bayesian modeling, simulation, or advanced machine‑learning techniques applied to healthcare data.
- Exposure to health‑economics concepts, cost‑effectiveness analysis, and outcomes research.
- Demonstrated ability to work autonomously in a remote environment while maintaining strong collaboration with distributed teams.
Core Skills & Competencies
- Analytical Rigor: Ability to think critically, ask the right questions, and apply appropriate statistical methods.
- Technical Proficiency: Mastery of data‑wrangling, scripting, and visualization tools.
- Domain Knowledge: Understanding of clinical research processes, drug development lifecycle, and health‑policy implications.
- Communication: Clear storytelling with data, tailoring messages for diverse audiences ranging from scientists to senior executives.
- Collaboration: Strong teamwork skills, comfortable partnering with clinicians, regulatory affairs, and external research partners.
- Adaptability: Ability to thrive in a fast‑changing environment, quickly learning new tools, datasets, and regulatory requirements.
- Ethical Integrity: Commitment to data privacy, security, and ethical use of patient information.
Learning & Development Opportunities
careerzynith invests heavily in the professional growth of its team members. In this role, you will have access to:
- Mentorship from senior data scientists and clinical research leaders.
- Sponsored certifications in data science, health‑informatics, and regulatory affairs.
- Regular webinars and workshops on emerging RWE methodologies, AI in healthcare, and advanced analytics.
- Opportunities to present findings at industry conferences and publish in peer‑reviewed journals.
- Cross‑functional rotations that broaden exposure to drug development, market access, and health‑policy strategy.
Culture & Work Environment
At careerzynith, we champion a culture of curiosity, inclusion, and impact. Our remote workforce enjoys:
- Flexible scheduling that respects work‑life balance, especially for part‑time contributors.
- A collaborative virtual workspace with regular team‑building activities, virtual coffee chats, and knowledge‑sharing sessions.
- An inclusive environment where diverse perspectives are celebrated and every voice matters.
- Access to a robust digital infrastructure, including secure VPN, cloud‑based analytics platforms, and state‑of‑the‑art collaboration tools.
- Recognition programs that celebrate analytical breakthroughs, innovative problem‑solving, and community involvement.
Compensation, Perks & Benefits
While the hourly rate for this part‑time position is $27, careerzynith offers a comprehensive benefits package that may include:
- Health, dental, and vision insurance with competitive employer contributions.
- Prescription drug discounts at careerzynith pharmacies.
- Employee Assistance Program (EAP) for confidential counseling and support services.
- Paid time off (PTO) for holidays, personal days, and sick leave.
- Retirement savings options, such as a 401(k) plan with potential matching contributions.
- Employee discounts on a wide range of products sold in careerzynith stores.
- Wellness initiatives, including virtual fitness challenges, health screenings, and mental‑health resources.
- Opportunities for career advancement within careerzynith’s expansive data‑science and clinical research divisions.
How to Apply
If you are passionate about turning real‑world data into meaningful evidence and want to contribute to a mission‑driven organization that values both scientific rigor and patient impact, we invite you to apply today. Please submit your resume, a brief cover letter outlining your relevant experience, and any portfolio items (e.g., notebooks, dashboards) that showcase your analytical capabilities.
Apply Job!
Join careerzynith and Make Data Work for Better Health
At careerzynith, your analytical expertise will directly influence the development of safer, more effective therapies and the delivery of high‑quality care to millions of patients. We look forward to welcoming a curious, data‑driven professional who thrives in a remote, collaborative setting. Take the next step in your career—apply now and become part of a team that turns data into real‑world impact.