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About careerzynith – Pioneering Health Innovation from Anywhere
careerzynith is a global leader in health‑focused technology and services, dedicated to making high‑quality care accessible, affordable, and personalized for every individual. With a mission rooted in compassion and powered by data‑driven insight, careerzynith blends cutting‑edge analytics, artificial intelligence, and a people‑first culture to transform the way health systems deliver care. Our remote workforce is a cornerstone of this transformation, enabling talented professionals across the United States to contribute to life‑changing solutions without leaving the comfort of their homes.
Position Overview – Remote Part‑Time Data Entry & Analytics Scientist
careerzynith’s Analytics & Behavior Change team is expanding its Utilization Management (UM) Data Science group. In this hybrid role, you will combine meticulous data‑entry expertise with advanced analytical thinking to develop, validate, and deploy AI‑powered solutions that streamline care delivery, improve member experiences, and drive operational efficiency. This is a part‑time, work‑from‑home opportunity based in Wisconsin, USA, offering a competitive hourly rate of $25‑$35 and the chance to grow within a forward‑thinking organization.
Key Responsibilities
- Data Acquisition & Preparation: Build robust pipelines to collect, clean, and standardize large volumes of structured and unstructured health data from multiple sources.
- Algorithm Development: Design, test, and refine predictive models and generative AI solutions that identify utilization patterns, detect anomalies, and recommend optimal care pathways.
- Statistical Analysis: Apply advanced statistical techniques to uncover trends, validate hypotheses, and translate findings into actionable business insights.
- Visualization & Communication: Create clear, compelling data visualizations and dashboards that convey complex analytical results to both technical and non‑technical stakeholders.
- Collaboration: Partner with cross‑functional teams—including clinical operations, product management, and engineering—to integrate analytics into real‑world workflows.
- Documentation & Governance: Maintain thorough documentation of data requirements, model assumptions, and validation procedures to ensure reproducibility and compliance.
- Continuous Improvement: Identify opportunities to enhance data quality, expand data sources, and refine analytical processes for greater impact.
Essential Qualifications
- Minimum 1 year of hands‑on analytical experience in a health‑care or related data environment.
- Proficiency in programming languages such as Python or R for data manipulation, statistical modeling, and machine learning.
- Experience with SQL or SAS for querying relational databases and managing large datasets.
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a closely related discipline.
- Strong written and verbal communication skills, with the ability to present technical concepts to diverse audiences.
Preferred Qualifications & Additional Skills
- Master’s degree in a quantitative field or equivalent advanced coursework.
- Hands‑on experience with large language models (LLMs) and generative AI frameworks.
- Demonstrated ability to troubleshoot complex data problems and devise creative solutions under tight deadlines.
- Familiarity with health‑care utilization management processes, claims data, and clinical coding systems.
- Experience building end‑to‑end data pipelines using tools such as Apache Airflow, Spark, or similar technologies.
- Knowledge of data visualization platforms like Tableau, Power BI, or Looker.
- Ability to work independently while thriving in a collaborative, remote‑first environment.
Core Competencies for Success
- Analytical Rigor: A data‑driven mindset with meticulous attention to detail and a passion for uncovering hidden patterns.
- Technical Agility: Comfort navigating evolving AI/ML tools and rapidly adopting new programming languages or libraries.
- Business Acumen: Understanding of how analytics influence health‑care operations, member satisfaction, and cost containment.
- Communication Excellence: Ability to translate technical findings into clear, actionable recommendations for stakeholders at all levels.
- Self‑Management: Strong organizational skills, proactive time management, and the discipline to meet deliverables in a remote setting.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly wage ranging from $25 to $35, reflective of experience, education, and geographic location. In addition to base pay, eligible employees may receive performance‑based bonuses, profit‑sharing opportunities, and a comprehensive benefits package that includes:
- Medical, dental, and vision insurance (full coverage for 30+ hours/week; prorated options for part‑time staff).
- Flexible Health Savings Account (HSA) contributions and employer matching.
- Prescription drug discounts and access to careerzynith pharmacy benefits.
- Paid Time Off (PTO) and paid holidays to support work‑life balance.
- Wellness programs, including mental‑health resources, meditation platforms, and fitness subsidies.
- Tuition assistance and reimbursement for continued education and certifications.
- 401(k) retirement plan with up to 5% company match after one year of service.
- Employee Stock Purchase Plan (ESPP) with a 10% discount on company shares.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a part‑time member of the UM Data Science team, you will have access to:
- Mentorship programs pairing you with senior data scientists and industry experts.
- Internal training libraries covering advanced machine‑learning techniques, cloud platforms, and health‑care regulations.
- Opportunities to present research at internal symposiums and external conferences.
- Pathways to transition into full‑time roles, leadership positions, or specialized tracks such as AI ethics, product analytics, or clinical informatics.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Heart, Innovation, and Empowerment. We celebrate diversity, encourage curiosity, and foster an inclusive environment where every voice matters. Remote employees are fully integrated into the careerzynith community through regular virtual town halls, team‑building activities, and collaborative platforms that keep you connected to the broader mission.
Key cultural highlights include:
- Transparent communication from leadership about company goals and strategic direction.
- Recognition programs that spotlight individual and team achievements.
- Flexible scheduling that respects personal commitments and time zones.
- Commitment to social responsibility, with volunteer days and community health initiatives.
How to Apply
If you are passionate about leveraging data to improve health outcomes, thrive in a remote‑first setting, and want to be part of a purpose‑driven organization, we invite you to submit your application today. Click the link below to begin the process, and be prepared to share your resume, a brief cover letter, and any relevant portfolio or project samples.
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