Principal Data Scientist - Machine Learning in Bioinformatics

Our client, a global leader in biotechnology and life sciences innovation, is seeking a highly experienced and visionary Principal Data Scientist to join their advanced research division. This pivotal role is based in
** Centurion, Gauteng**, and will focus on leveraging machine learning and artificial intelligence to unlock insights from complex biological datasets. You will be instrumental in developing predictive models, algorithms, and analytical tools that drive breakthroughs in genomics, proteomics, and drug discovery. This position offers the unique opportunity to work at the intersection of biology and computer science, contributing to the development of novel diagnostics and therapeutics.

As a Principal Data Scientist, you will guide the strategic direction of data science initiatives, mentor junior team members, and collaborate with leading researchers worldwide. We are committed to pushing the boundaries of
** bioinformatics
* * and data-driven discovery from our
** Centurion
* * hub.

• Develop and implement advanced machine learning algorithms and statistical models for the analysis of large-scale biological datasets (genomic, proteomic, clinical).
• Design and execute data-driven research projects to identify novel biomarkers, predict disease progression, and optimize treatment strategies.
• Build robust data pipelines for data ingestion, cleaning, transformation, and feature engineering from diverse sources.
• Collaborate with biologists, geneticists, and bioinformaticians to define research questions and translate them into data science problems.
• Lead the technical direction of machine learning projects, from proof-of-concept to production deployment.
• Evaluate and integrate new data science technologies and methodologies to enhance analytical capabilities.
• Communicate complex findings and insights effectively to both technical and non-technical audiences through presentations and detailed reports.
• Mentor and guide junior data scientists and research staff, fostering a culture of scientific rigor and innovation within the
  ** Centurion
  * * team.

• Ph.D. or Master's degree in Computer Science, Statistics, Bioinformatics, Computational Biology, or a related quantitative field.
• 10+ years of experience in data science, with a significant focus on machine learning applications in a biological or healthcare context.
• Deep expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch, Bioconductor).
• Strong understanding of statistical modeling, experimental design, and validation techniques.
• Experience working with large, complex datasets and distributed computing frameworks (e.g., Spark).
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and database technologies (SQL, No
  
  SQL).
• Excellent analytical, problem-solving, and critical‑thinking skills.
• Proven ability to lead projects and mentor team members.
• Excellent communication and interpersonal skills, with experience presenting research findings.
• Must be comfortable working in a
  ** remote
  * * environment and collaborating effectively across time zones.

Our client offers a highly competitive compensation package, including a generous base salary, substantial bonus potential, and comprehensive stock options. Benefits include top-tier health insurance, a leading retirement savings plan, and generous paid time off. We provide a supportive and stimulating work environment that encourages continuous learning, professional development, and impactful research. This remote role allows for flexible working arrangements while contributing to cutting-edge bioinformatics and machine learning research from anywhere.

Join our
** Centurion
* * based client and help shape the future of data-driven healthcare.