Job Description
Position: Healthcare Data Analytics Specialist Job Vacancy in Nkana, Zambia – Healthcare Technology
Company: Sanofi Zambia
Location: Nkana, Zambia
Experience: 3-5 years
Education: Bachelor’s degree in Health Informatics, Data Science, or related field
Employment Type: Full-Time
Industry: Healthcare Technology
Department: Digital Health Solutions
Salary: 150,000 – 200,000 SSP
Vacancies:1
Company Overview
Sanofi Zambia, a global leader in pharmaceutical innovation, is expanding its digital health initiatives to improve healthcare outcomes across Zambia. With a commitment to leveraging technology for public health, Sanofi Zambia is at the forefront of integrating data-driven solutions into medical research, patient care, and health system optimization. This role is part of a strategic initiative to harness big data analytics for disease prevention, treatment personalization, and healthcare accessibility in underserved regions.
Job Overview
Sanofi Zambia is seeking a dynamic Healthcare Data Analytics Specialist to lead the analysis of health data to support evidence-based decision-making. This role is ideal for professionals passionate about merging healthcare and technology to drive impactful outcomes. For more Zambia Jobs and Career Opportunities in Zambia, visit https://zambiajobssearch.com.
Key Responsibilities
- Design and implement data models to analyze healthcare trends and patient outcomes.
- Collaborate with cross-functional teams to integrate data analytics into clinical and operational workflows.
- Develop predictive models to identify public health risks and optimize resource allocation.
- Generate actionable insights from health data to support policy development and program evaluation.
- Ensure compliance with data privacy regulations and ethical standards in healthcare analytics.
Required Skills
- Proficiency in Python, R, or SQL for data analysis.
- Experience with healthcare data platforms (e.g., EHR systems, public health databases).
- Strong analytical skills with a focus on statistical modeling and machine learning.
- Excellent communication skills to present findings to technical and non-technical stakeholders.
- Familiarity with healthcare regulations (e.g., HIPAA) and data governance frameworks.
Education
- Bachelor’s degree in Health Informatics, Data Science, Biostatistics, or related field.
- Advanced degrees (Master’s or PhD) in Healthcare Analytics or Public Health are a plus.
Experience
- 3-5 years of experience in healthcare data analysis or related roles.
- Proven track record in managing large-scale health datasets.
- Experience in Zambia’s healthcare sector or similar emerging markets is preferred.
Salary
150,000 – 200,000 SSP per month, commensurate with experience.
Benefits
- Comprehensive health insurance coverage.
- Performance-based bonuses and career advancement opportunities.
- Professional development stipend for certifications or advanced training.
- Flexible work arrangements and remote collaboration tools.
- Annual leave and public holidays as per Zambian labor laws.
Training
- Onboarding program to familiarize with Sanofi Zambia’s digital health platforms.
- Specialized training in healthcare analytics tools and methodologies.
- Leadership development workshops for career growth.
Working Environment
Sanofi Zambia fosters a collaborative, inclusive workplace where innovation thrives. The role involves a mix of office-based work and remote collaboration with global teams. The position requires occasional travel to healthcare facilities and partner organizations across Zambia.
Application Process
Interested candidates should submit their CV and a cover letter to the company’s official portal. For more Employment in Zambia and Hiring in Zambia updates, visit https://www.eritreajobsearch.com. Applications will be reviewed on a rolling basis until the position is filled.
Equal Opportunity Statement
Sanofi Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, disability, or any other protected status.