Senior Data Scientist - Biomedical Applications

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Bonus potential

Health and retirement benefits

Professional development budget

Job summary

Placements24 seeks a Senior Data Scientist to lead the development and deployment of advanced analytical solutions for Biomedical Applications in Polokwane. You will collaborate with researchers, clinicians, and engineers to extract insights from clinical and genomic data and drive improvements in diagnostics and treatment strategies.

The role requires 5+ years of experience in data science, expertise in machine learning, statistical modeling, and proficiency in Python or R, plus SQL.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or related quantitative field.
• 5+ years of professional experience in data science, with a focus on biomedical or healthcare applications.
• Proficiency in machine learning techniques, statistical modeling, and predictive analytics.
• Python or R and experience with data science libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with large-scale data manipulation and SQL databases.

Responsibilities

• 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.

Skills

Machine learning

Statistical modeling

Python

R

Education

Master's or PhD in Data Science or related quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

SQL

Job description

About the Role

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.

Key Responsibilities

• 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.

Requirements

• 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, TensorFlow, PyTorch).
• Experience with large-scale data manipulation and SQL databases.
• Excellent problem-solving skills and ability to work effectively in a hybrid environment.

Benefits

• 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.