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About careerzynith – Pioneering Health Innovation
careerzynith is a global leader in health‑focused technology and services, dedicated to transforming the way people experience care. With a mission to bring heart to every interaction, careerzynith blends human empathy with cutting‑edge data science to deliver personalized, affordable, and accessible health solutions. Our retail pharmacy network spans more than 9,700 locations, and our digital platforms serve millions of customers daily. As we continue to expand our AI‑powered analytics capabilities, we are looking for visionary leaders who can shape the future of patient safety and data‑driven decision making.
Position Overview
The Lead Director of Data Science, Patient Safety Analytics will spearhead a high‑performing team of data scientists, analysts, and engineers focused on developing and deploying AI/ML solutions that proactively identify and mitigate patient safety risks across careerzynith’s extensive pharmacy footprint. This remote‑first role reports to the Senior Vice President of Patient Safety & Pharmacy Operations and partners closely with business leaders, clinical experts, and technology partners to translate complex data into actionable insights that protect patients and drive operational excellence.
Key Responsibilities
- Define and execute a multi‑year analytics roadmap that leverages machine learning, natural language processing, and advanced statistical methods to detect safety events in real time.
- Lead a cross‑functional team of 10‑15 data scientists, analysts, and engineers, providing mentorship, performance feedback, and career development plans.
- Collaborate with senior business partners to translate clinical and operational challenges into data‑driven problem statements and solution designs.
- Design, build, and validate predictive models that prioritize high‑impact safety interventions across the pharmacy network.
- Oversee the end‑to‑end data pipeline—from ingestion of structured and unstructured data sources to model deployment and monitoring—ensuring compliance with HIPAA, GDPR, and internal data‑privacy standards.
- Develop clear, compelling visualizations and executive‑level presentations that communicate model outcomes, risk scores, and recommended actions to both technical and non‑technical audiences.
- Champion a culture of continuous improvement by establishing rigorous A/B testing, model governance, and post‑deployment performance tracking.
- Drive innovation by exploring emerging AI techniques (e.g., deep learning, reinforcement learning) and assessing their applicability to patient safety use cases.
- Partner with IT and cloud engineering teams to scale analytics workloads on modern cloud platforms (AWS, GCP, Azure) while maintaining cost efficiency and security.
- Represent careerzynith at industry conferences, webinars, and thought‑leadership forums, positioning the company as a trailblazer in pharmacy safety analytics.
Required Qualifications
- Bachelor’s degree in Computer Science, Statistics, Engineering, or a related STEM field (required).
- Minimum 8 years of experience in the full product development lifecycle (SDLC) for data‑intensive applications, with at least 6 years leading high‑performing analytics teams.
- Demonstrated expertise in statistical modeling, machine learning, and AI, with hands‑on experience in Python, SQL, and at least one major analytics framework (e.g., TensorFlow, PyTorch, Scikit‑learn).
- Strong leadership and people‑management skills, including the ability to inspire, coach, and develop technical talent.
- Proven track record of translating business requirements into scalable data solutions that deliver measurable safety or operational improvements.
- Excellent communication skills, with the ability to present complex technical concepts to senior executives, clinicians, and cross‑functional partners.
- Deep understanding of healthcare data privacy regulations (HIPAA, HITECH) and experience implementing compliant data pipelines.
- Experience working in fast‑paced, remote or hybrid environments, demonstrating self‑motivation and disciplined time management.
Preferred Qualifications
- Master’s or Ph.D. in a quantitative discipline (e.g., Data Science, Applied Mathematics, Bioinformatics).
- Hands‑on experience with cloud‑based data platforms (AWS SageMaker, GCP AI Platform, Azure ML) and containerization technologies (Docker, Kubernetes).
- Background in pharmacy operations, clinical informatics, or patient safety programs.
- Familiarity with real‑time streaming analytics (Kafka, Flink) and deployment of AI models in production environments.
- Published research or patents in AI/ML applied to healthcare.
- Experience leading multi‑disciplinary projects that involve regulatory compliance, risk management, and change‑management initiatives.
Core Skills & Competencies
- Strategic Vision: Ability to see the big picture, anticipate industry trends, and align analytics initiatives with careerzynith’s long‑term goals.
- Analytical Rigor: Strong statistical foundation, critical thinking, and problem‑solving capabilities.
- Technical Mastery: Proficiency in Python, SQL, data visualization tools (Tableau, Power BI), and modern ML frameworks.
- Leadership Presence: Confidence to influence senior stakeholders, negotiate priorities, and drive consensus.
- Collaboration: Demonstrated ability to work across clinical, operational, and technology teams.
- Adaptability: Comfort with ambiguity, rapid iteration, and evolving regulatory landscapes.
- Ethical Judgment: Commitment to patient privacy, data security, and responsible AI practices.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its leaders. In this role, you will have access to:
- Executive mentorship programs with senior leaders in the health‑tech space.
- Sponsored certifications (e.g., AWS Certified Machine Learning – Specialty, Certified Health Data Analyst).
- Annual learning stipend for conferences, workshops, and online courses.
- Opportunities to lead cross‑functional innovation labs focused on emerging technologies such as generative AI and federated learning.
- A clear promotion pathway to Vice President of Analytics, Chief Data Officer, or other senior leadership positions within careerzynith.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Heart, Innovation, and Inclusion. We foster a supportive, collaborative environment where every voice matters. Key cultural highlights include:
- Remote‑first flexibility with a hybrid office hub for team collaboration.
- Employee resource groups (ERGs) focused on diversity, women in tech, and mental health.
- Regular “Wellbeing Days” that encourage work‑life balance and personal growth.
- Transparent communication channels, including quarterly town halls with the CEO.
- Recognition programs that celebrate data‑driven impact on patient safety.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that reflects the importance of this role:
- Base salary range of $70,000 – $80,000 USD per year, commensurate with experience and location.
- Annual performance bonus tied to measurable safety outcomes.
- Equity participation through the careerzynith Stock Purchase Plan.
- Comprehensive health, dental, and vision coverage for employees and eligible dependents.
- Generous 401(k) matching program and financial wellness resources.
- Fully paid parental leave, paid time off (PTO), and paid holidays.
- Access to on‑site and virtual wellness programs, including mental‑health counseling and fitness subsidies.
- Employee discount program for careerzynith pharmacy and retail locations.
- Continuous learning budget, tuition reimbursement, and mentorship opportunities.
Application Process
We encourage qualified candidates to submit a complete application package that includes:
- Updated resume highlighting relevant experience and achievements.
- Cover letter describing your passion for patient safety and data science leadership.
- Official transcripts or degree certificates.
- Passport‑size photograph and a scanned signature for verification.
All applications are reviewed on a rolling basis. To apply, click the link below, complete the online form, and attach the required documents.
Apply for the Lead Director Position at careerzynith
Why Join careerzynith?
If you are driven by the prospect of using data to protect patients, improve pharmacy operations, and shape the future of health technology, careerzynith offers the platform, resources, and culture to make that vision a reality. Join a team where your expertise will directly influence the safety of millions, and where your career will flourish alongside industry pioneers.
Take the next step in your professional journey—apply today and help us bring heart to every moment of patient care.
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