Senior Data Scientist - Bioinformatics

Our client is seeking an experienced Senior Data Scientist with a specialization in Bioinformatics to join their innovative research team in Welkom . This role is pivotal in leveraging large-scale biological datasets to uncover insights into complex biological systems and diseases. You will design and implement advanced analytical methodologies, working closely with biologists, geneticists, and computational scientists to drive discovery. This position is within a cutting-edge Scientific Research & Development environment, offering significant opportunities to impact advancements in genomics and personalized medicine.

• Develop and deploy machine learning models and statistical algorithms for analyzing genomic, proteomic, and transcriptomic data.
• Design and manage big data pipelines for efficient data processing and analysis.
• Collaborate with domain experts to define research questions and translate biological problems into data science challenges.
• Visualize complex biological data to communicate findings effectively to diverse audiences.
• Contribute to the development of novel bioinformatics tools and software.
• Mentor junior data scientists and provide technical guidance on data analysis projects.

• Ph.D. or Master's degree in Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science or bioinformatics.
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Sci Py, Num Py, Pandas, Tensor Flow, PyTorch).
• Expertise in handling and analyzing large biological datasets, including next-generation sequencing (NGS) data.
• Solid understanding of statistical modeling, machine learning techniques, and biological pathways.
• Excellent communication and collaboration skills for teamwork in Welkom.

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan with employer contributions.
• Support for continuing education, conference attendance, and professional development.
• Access to high-performance computing resources and a collaborative research environment.