Senior Data Scientist - Biomedical

Our client is seeking a highly skilled Senior Data Scientist to lead the development and implementation of advanced analytical solutions for Biomedical Applications in Polokwane. This hybrid role is crucial for extracting meaningful insights from complex biological and clinical datasets, driving innovation in areas such as diagnostics, personalized medicine, and treatment efficacy. You will collaborate closely with research scientists, clinicians, and engineers to design and deploy data-driven strategies that significantly impact patient outcomes and scientific understanding.

• Develop and deploy predictive models and machine learning algorithms for biomedical data analysis, including patient stratification and outcome prediction.
• Design and execute complex data mining and statistical analysis on large-scale clinical and genomic datasets.
• Collaborate with domain experts to define analytical requirements and translate business needs into data science solutions.
• Build robust data pipelines and ensure the quality, integrity, and accessibility of data for analysis.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the biomedical field.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• 5+ years of professional experience in data science, with a focus on biomedical or healthcare applications.
• Proven expertise in machine learning techniques, statistical modeling, and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Experience with large-scale data manipulation and SQL databases.
• Excellent problem-solving skills and ability to work effectively in a hybrid environment.

• Highly competitive salary and significant bonus potential.
• Comprehensive health, retirement, and insurance benefits package.
• Hybrid work model offering a balance of remote work and office-based collaboration.
• Generous budget for professional development, training, and conference attendance.
• Opportunity to work on impactful projects at the intersection of data science and healthcare.