Remote Genomics Data Scientist

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Professional development

Job summary

Placements24 seeks a remote Genomics Data Scientist to join a globally distributed team analyzing large genomic datasets and building predictive models to advance research from anywhere. The ideal candidate holds a Master’s/PhD in a genomics-related field, 3+ years of genomic data experience, and strong Python or R skills with Bioconductor and Pandas.

Cloud experience and remote collaboration are essential.

Qualifications

• Master's or PhD in a genomics-related field.
• 3+ years of genomic data analysis experience.
• Proficiency in Python or R with relevant libraries.
• Strong background in statistics and ML for genomics.
• Linux/Unix proficiency; exposure to cloud platforms (AWS/GCP).

Responsibilities

• Analyze large-scale genomic datasets to identify variations and expression patterns.
• Develop and implement statistical and ML models for genomic data analysis.
• Design computational experiments to test biological hypotheses.
• Collaborate with biologists and clinicians to interpret results remotely.
• Develop and maintain reproducible bioinformatics pipelines.
• Visualize genomic data and results for diverse audiences.
• Stay updated with genomics and computational biology advances.
• Contribute to development of new analytical methods and tools.

Skills

Python

R

Bioconductor

Pandas

NumPy

SciPy

Statistics

Machine learning

Linux/Unix

Cloud AWS/GCP

Education

Master's or PhD in genomics-related field

Tools

Bioconductor

Pandas

NumPy

SciPy

AWS

GCP

Job description

About the Role

Our client, a trailblazer in scientific research and development, is seeking a highly skilled Remote Genomics Data Scientist to join their globally distributed team. This is a fully remote position, ideal for a candidate passionate about leveraging big data to unlock insights from genomic information. You will be responsible for analyzing large-scale genomic datasets, developing predictive models, and contributing to critical research initiatives that advance our understanding of biological systems and disease. The ideal candidate possesses a strong background in bioinformatics, statistics, and machine learning, coupled with exceptional skills in data analysis and interpretation. This role offers the flexibility of remote work while contributing to cutting-edge genomics research, impacting scientific discovery worldwide.

Key Responsibilities

• Analyze large-scale genomic datasets (e.g., whole-genome sequencing, RNA-Seq, exome sequencing) to identify genetic variations, gene expression patterns, and regulatory elements.
• Develop and implement statistical and machine learning models for genomic data analysis, including variant calling, GWAS, and predictive modeling.
• Design and execute computational experiments to test biological hypotheses using genomic data.
• Collaborate with biologists, clinicians, and other data scientists through virtual channels to interpret findings and guide research directions.
• Develop and maintain reproducible bioinformatics pipelines and workflows.
• Visualize genomic data and analysis results for effective communication to both technical and non-technical audiences.
• Stay current with the latest advancements in genomics, bioinformatics, and computational biology.
• Contribute to the development of novel analytical methods and tools for genomic research.

Requirements

• A Master's or Ph.D. degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field with a focus on genomics.
• 3+ years of experience working with genomic data analysis.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries (e.g., Bioconductor, Pandas, NumPy, SciPy).
• Strong experience with statistical analysis, machine learning algorithms, and experimental design.
• Familiarity with command-line interfaces and working in a Linux/Unix environment.
• Experience with cloud computing platforms (e.g., AWS, GCP) for large-scale data analysis is a plus.
• Excellent communication and collaboration skills, with the ability to thrive in a fully remote setting.
• Demonstrated ability to work independently, manage time effectively, and meet project deadlines.
• Must be capable of working full-time remotely.

Benefits

Our client offers a competitive salary commensurate with experience, along with a comprehensive benefits package including health insurance and retirement contributions. Professional development is encouraged through online learning resources and virtual conference attendance. This fully remote role provides significant flexibility and work-life balance. Employees are part of a dynamic, global research team and contribute to high-impact scientific projects. Opportunities for career growth and specialization within the field of genomics are substantial. Join our client and advance your career in genomics from the comfort of your home.