Senior Data Scientist - Genomics

Placements24; Pretoria; On-site; ZAR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Retirement savings plan

Professional development opportunities

Access to cutting-edge technology

Job summary

Placements24 in Durban is seeking a Senior Data Scientist specialized in Genomics to lead analyses of large-scale genomic datasets, uncover disease mechanisms, and identify therapeutic targets. This on-site role involves collaborating with biologists, bioinformaticians, and clinicians to advance personalized medicine initiatives.

You will design advanced models, apply cutting-edge computational methods, and mentor junior scientists within a high-impact research environment leveraging premier

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Bioinformatics, CS, or related field.
• 5+ years of professional data science experience with genomics focus.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch.
• Strong knowledge of statistical genetics and genomic data analysis pipelines.
• Experience with cloud environments (AWS, Azure) and big data tech.

Responsibilities

• Design, develop, and implement advanced statistical and ML models for genomic data analysis.
• Analyze large-scale genomic datasets (WGS, exome, RNA-seq).
• Collaborate with researchers to translate findings into hypotheses.
• Develop data visualization tools and dashboards to communicate results.
• Mentor junior data scientists and contribute to technical expertise.

Skills

Genomics data science

Python / R

Statistical genetics

Cloud computing (AWS/Azure)

Communication skills

Education

Master's or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking an experienced Senior Data Scientist with a specialization in Genomics to join their esteemed research team in Durban . This role involves leading the analysis of large-scale genomic datasets to uncover insights into disease mechanisms and identify potential therapeutic targets. You will be responsible for developing sophisticated analytical models, implementing cutting-edge computational methods, and collaborating closely with a multidisciplinary team of biologists, bioinformaticians, and clinicians. This is an exceptional opportunity to contribute to groundbreaking research in a collaborative, on-site environment, leveraging state-of-the- art infrastructure and working on projects that have the potential to significantly impact human health and personalized medicine initiatives.

Key Responsibilities

• Design, develop, and implement advanced statistical and machine learning models for genomic data analysis.
• Analyze large-scale genomic datasets, including whole-genome sequencing, exome sequencing, and RNA-seq data.
• Collaborate with biological researchers to interpret findings and translate them into actionable hypotheses.
• Develop data visualization tools and dashboards to communicate complex results effectively.
• Contribute to the development of research strategies and the identification of new research opportunities.
• Mentor junior data scientists and contribute to the team's overall technical expertise.

Requirements

• Master's or Ph.D. degree in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a significant focus on genomics research.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical genetics, population genetics, and common genomic data analysis pipelines.
• Experience with cloud computing environments (e.g., AWS, Azure) and big data technologies.
• Excellent communication and interpersonal skills for effective collaboration within the Durban research hub.

Benefits

• Highly competitive salary and performance-based bonuses.
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• Comprehensive health, dental, and vision insurance.
• Generous paid time off and retirement savings plan.
• Opportunities for professional development and attending scientific conferences.
• A stimulating research environment with access to cutting-edge technology.