Senior Genomics Data Scientist

Placements24; Mbombela (Nelspruit); Híbrido; ZAR 2.369.000 - 3.553.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Competitive salary

Health insurance

Retirement plan

Learning opportunities

Conference attendance

Descripción de la vacante

Placements24 is seeking a Senior Genomics Data Scientist to lead analysis of large-scale genomic datasets, including whole-genome, exome, and RNA sequencing data, and to design scalable bioinformatics pipelines. This fully remote role invites collaboration with biologists, clinicians, and data scientists to translate findings into biological hypotheses and clinical applications.

The ideal candidate holds a PhD and 5+ years of genomic experience, is proficient in Python or R, comfortable in

Formación

• Ph.D. required in a quantitative field related to bioinformatics / genomics.
• 5+ years experience analyzing genomic data with emphasis on NGS.
• Proficiency in Python or R and experience with bioinformatics libraries and tools.
• Strong Linux/Unix, HPC or cloud computing experience (AWS, GCP, Azure).
• Solid genomics knowledge and familiarity with data types and analyses.
• Experience with Git and reproducible research practices.

Responsabilidades

• Lead analysis of large-scale genomic datasets (whole-genome, exome, RNA-seq).
• Develop, implement, and validate statistical and ML models for genomic data.
• Identify genetic variants, expression patterns, and biomarkers.
• Collaborate with biologists and clinicians to translate findings into hypotheses or clinical insights.
• Design scalable bioinformatics pipelines for high-throughput processing.
• Contribute to publications, grant proposals, and conferences.
• Ensure data quality, reproducibility, and documentation of analyses.
• Stay updated with genomics and data science advances.
• Mentor junior data scientists.

Conocimientos

Python

R

Linux/Unix

HPC/Cloud (AWS, GCP, Azure)

Git

Genomics knowledge

Statistical modeling

Machine learning

Communication

Remote work

Educación

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

Descripción del empleo

About the Role

Our client is a pioneering biotechnology company dedicated to advancing personalized medicine through cutting-edge genomic research. We are seeking a highly skilled Senior Genomics Data Scientist to join our innovative, fully remote team. This role is central to interpreting complex genomic datasets, identifying actionable insights for disease research and drug discovery, and developing robust analytical pipelines. You will work with massive datasets, including next-generation sequencing (NGS) data, and collaborate with a diverse team of biologists, bioinformaticians, and clinicians. This is an exceptional opportunity to contribute to transformative scientific discoveries and shape the future of healthcare from the convenience of your chosen location.

Key Responsibilities

• Lead the analysis of large-scale genomic datasets, including whole-genome, exome, and RNA sequencing data.
• Develop, implement, and validate sophisticated statistical and machine learning models for genomic data analysis.
• Identify genetic variants, gene expression patterns, and biomarkers associated with diseases and treatment responses.
• Collaborate closely with biologists and clinicians to interpret findings and translate them into biological hypotheses or clinical applications.
• Design and build scalable bioinformatics pipelines for high-throughput genomic data processing.
• Contribute to scientific publications, grant proposals, and presentations at conferences.
• Ensure data quality, reproducibility, and documentation of all analytical processes.
• Stay current with the latest advancements in genomics, bioinformatics, and data science methodologies.
• Mentor junior data scientists and contribute to the team's technical expertise.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Genetics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in analyzing genomic data, with a strong focus on NGS technologies.
• Demonstrated expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools.
• Strong experience with command-line environments (Linux/Unix) and high-performance computing (HPC) or cloud computing platforms (AWS, GCP, Azure).
• Solid understanding of genomics, molecular biology, and common genomic data types.
• Experience with version control systems (e.g., Git) and reproducible research practices.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and effectively in a fully remote, collaborative team environment.
• Experience with single-cell genomics or epigenomics data analysis is a plus.

Benefits

This role offers the ultimate flexibility as a fully remote position, allowing you to work from anywhere. Our client provides a highly competitive salary, performance incentives, and a comprehensive benefits package, including health insurance and retirement planning. We are committed to fostering professional growth through continuous learning, access to cutting-edge resources, and support for attending scientific conferences and workshops. Join a world-class team dedicated to revolutionizing healthcare through genomics. Make a significant impact on scientific discovery and patient care, all while enjoying the freedom and autonomy of remote work, connected to our mission from **Nelspruit** and beyond.