Lead Genomics Data Scientist

Placements24; East London; Híbrido; ZAR 1 500 000 - 2 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Health insurance

Retirement plan

Professional development

Conference attendance

Hybrid work model

Paid time off

Resumo da oferta

Placements24 seeks a Lead Genomics Data Scientist in East London to drive cutting-edge genomic research. You will design pipelines, apply ML/DL methods, and mentor a team of bioinformaticians, collaborating with geneticists and clinicians to translate discoveries into clinical insights.

The role requires a PhD and 6+ years in genomics data analysis, with cloud/HPC experience and strong communication. Enjoy a dynamic, collaborative environment in East London, with a flexible hybrid work model.

Qualificações

• PhD in Genomics, Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Minimum of 6 years of progressive experience in genomics data analysis and data science, with focus on human/model organism genomics.
• Demonstrated leadership in managing research projects and teams.
• Proficiency in Python and R with bioinformatics libraries.
• Strong experience with statistical genetics methods and genomic data formats.
• Experience with cloud computing platforms (AWS, GCP) and HPC environments.
• Excellent analytical, problem-solving, and communication skills.
• Experience with variant annotation databases and tools.

Responsabilidades

• Lead development and application of advanced computational methods for large-scale genomic datasets (WGS, WES, RNA-Seq).
• Design and implement robust bioinformatics pipelines for variant calling, annotation, and association studies.
• Apply machine learning and deep learning to identify patterns and disease risk.
• Mentor junior data scientists and bioinformaticians; guide research teams.
• Collaborate with researchers to define analytical strategies and interpret findings.
• Develop visualizations and reports to communicate genomic insights to diverse audiences.
• Stay current with genomics, bioinformatics, and data science advances.
• Contribute to grant writing and new research proposals.

Conhecimentos

Python

R

Genomics data analysis

Leadership

Cloud computing

HPC

Machine learning

Communication

Formação académica

PhD in Genomics/Bioinformatics/Computational Biology/Statistics/CS

Ferramentas

AWS

GCP

GATK

Variant annotation tools

Descrição da oferta de emprego

About the Role Our client is seeking an experienced and visionary Lead Genomics Data Scientist to drive cutting-edge research in **East London, Eastern Cape**. This leadership role is crucial for analyzing vast and complex genomic datasets to uncover biological insights, identify disease markers, and develop personalized medicine approaches. You will be responsible for designing and implementing advanced computational pipelines, applying sophisticated statistical and machine learning methods, and leading a team of data scientists and bioinformaticians. The ideal candidate will possess a deep understanding of genomics, bioinformatics, statistical genetics, and data science, along with proven experience in managing large-scale projects and mentoring teams. You will collaborate closely with geneticists, biologists, and clinicians to translate genomic discoveries into impactful applications. This is an exceptional opportunity to contribute to the forefront of genetic research and innovation in **East London, Eastern Cape**.

Key Responsibilities

• Lead the development and application of advanced computational and statistical methods for analyzing large-scale genomic datasets (e.g., WGS, WES, RNA-Seq).
• Design and implement robust bioinformatics pipelines for variant calling, annotation, and association studies.
• Apply machine learning and deep learning techniques to identify patterns, predict disease risk, and uncover biological mechanisms.
• Manage and curate large genomic databases, ensuring data integrity and accessibility.
• Collaborate with researchers to define analytical strategies and interpret complex genomic findings.
• Develop visualizations and reports to communicate complex genomic information effectively to diverse audiences.
• Mentor and guide junior data scientists and bioinformaticians, fostering a collaborative and productive research environment.
• Stay current with the latest advancements in genomics, bioinformatics, and data science.
• Contribute to grant writing and the development of new research proposals.

Requirements

• PhD in Genomics, Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Minimum of 6 years of progressive experience in genomics data analysis and data science, with a strong focus on human or model organism genomics.
• Demonstrated leadership experience in managing research projects and teams.
• Expertise in programming languages such as Python and R, and proficiency with bioinformatics tools and libraries.
• Strong experience with statistical genetics methods and common genomic data formats.
• Proficiency in applying machine learning and deep learning techniques to biological data.
• Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments.
• Excellent analytical, problem-solving, and communication skills.
• Experience with variant annotation databases and tools is essential.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Generous retirement savings plan with employer matching.
• Significant opportunities for professional development, including conference attendance and specialized training.
• Access to large-scale genomic datasets and advanced computational infrastructure.
• A dynamic and collaborative research environment in **East London, Eastern Cape**.
• Flexible hybrid work model.
• Generous paid time off and holiday leave.