About Company
PureHealth is the largest integrated healthcare network in the Middle East, committed to enhancing the health and well-being of communities across the UAE and beyond. Our extensive network includes hospitals, clinics, diagnostic centers, and pharmacies, all operating with a singular vision: to pioneer a healthier future. At PureHealth, we leverage cutting-edge technology, innovative research, and a collaborative approach to deliver world-class patient care, drive medical advancements, and promote preventative health strategies. We are at the forefront of data-driven healthcare transformation, utilizing advanced analytics and scientific rigor to inform clinical decisions, optimize operational efficiencies, and contribute to public health policy. Our commitment to excellence extends to fostering a dynamic and inclusive work environment where talent thrives, and every team member contributes to our mission of creating a healthier, happier society. Join us in shaping the future of healthcare.
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Job Description
PureHealth, the largest healthcare group in the Middle East, is at the forefront of transforming health systems and enhancing the well-being of communities across the UAE and beyond. With a steadfast commitment to innovation, data-driven insights, and preventative medicine, we are building a healthier future for all. As we expand our pioneering efforts in medical research and population health management, we are seeking a highly skilled and passionate Biostatistics Data Scientist to join our dynamic team in Abu Dhabi.
This pivotal role offers an unparalleled opportunity to leverage your expertise in biostatistics and data science to drive meaningful advancements in clinical research, public health initiatives, and patient care. You will be instrumental in designing, implementing, and interpreting complex statistical analyses for a diverse range of healthcare datasets, including clinical trials, observational studies, and real-world evidence. Your work will directly inform critical decision-making, from optimizing treatment protocols to identifying key health trends and developing predictive models for disease progression and prevention.
We are looking for a proactive and analytical individual who thrives in a collaborative environment. You will work closely with a multidisciplinary team of clinicians, epidemiologists, data engineers, and medical researchers, translating intricate data challenges into robust statistical solutions. The ideal candidate will possess a deep understanding of statistical methodologies, machine learning techniques, and data visualization, coupled with strong programming skills in R, Python, or SAS. You will not only analyze data but also contribute to the strategic direction of our data science projects, ensuring the scientific rigor and validity of our findings.
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Join PureHealth and be a part of an organization that is not just treating illness but actively shaping the future of health. Your contributions will directly impact millions of lives, contributing to groundbreaking discoveries and the development of innovative healthcare solutions that set new global benchmarks. If you are passionate about applying cutting-edge statistical and data science techniques to real-world health challenges and aspire to make a significant societal impact, we encourage you to apply.
Key Responsibilities
- Design and execute sophisticated statistical analyses for clinical trials, observational studies, and public health research.
- Develop, validate, and implement predictive models and machine learning algorithms using large-scale, complex healthcare datasets.
- Interpret complex statistical results and translate findings into clear, concise, and actionable insights for clinical, research, and business stakeholders.
- Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, data engineers, and medical researchers, to define research questions and analytical approaches.
- Ensure the integrity, validity, and reproducibility of data and analytical methodologies, adhering to regulatory standards and best practices.
- Contribute to the strategic planning and execution of data science initiatives, identifying opportunities for innovation and improvement.
- Prepare comprehensive reports, presentations, and publications summarizing analytical findings and their implications.
- Stay abreast of the latest advancements in biostatistics, data science, and healthcare analytics, applying new techniques as appropriate.
Required Skills
- Master's degree in Biostatistics, Statistics, Data Science, Epidemiology, or a closely related quantitative field.
- Minimum of 3 years of progressive experience in biostatistics or data science, preferably within a healthcare, pharmaceutical, or clinical research setting.
- Expert proficiency in statistical modeling, hypothesis testing, experimental design, and machine learning techniques.
- Advanced programming skills in statistical software such as R, Python, or SAS.
- Demonstrated experience working with large-scale, real-world healthcare datasets.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to convey complex technical information to non-technical audiences.
- Solid understanding of data governance, privacy regulations (e.g., GDPR, HIPAA-equivalent), and ethical considerations in healthcare data.
Preferred Qualifications
- Ph.D. in Biostatistics, Statistics, or a related field.
- Experience with clinical trial design and analysis, including knowledge of regulatory requirements (e.g., ICH GCP).
- Familiarity with medical terminologies, coding systems (e.g., ICD-10, SNOMED), and clinical data standards (e.g., HL7, FHIR, OMOP).
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Track record of publications in peer-reviewed journals or presentations at scientific conferences.
- Experience in observational research methods and causal inference.
Perks & Benefits
- Highly competitive tax-free salary package.
- Comprehensive health insurance for you and your family.
- Generous annual leave and public holidays.
- Opportunities for continuous professional development, training, and certifications.
- Access to state-of-the-art technology and research facilities.
- A vibrant, multicultural, and collaborative work environment.
- Employee wellness programs and initiatives.
- Relocation assistance for international candidates (if applicable).
How to Apply
Interested candidates are invited to apply by clicking on the application link below. Please ensure your resume and cover letter clearly highlight your relevant experience in biostatistics and data science within a healthcare context. In your cover letter, detail your experience with statistical software and your approach to translating complex data into actionable insights.
