Remote Bioinformatics Scientist - Genomics Data Analysis

Placements24; Klerksdorp; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Competitive salary

Bonus structure

Health insurance

Home office stipend

Professional development budget

Unlimited PTO

Remote-friendly culture

Job summary

Placements24 is seeking a Remote Bioinformatics Scientist for a pioneering biotechnology firm focused on genomic research. The role centers on analyzing large-scale genomic datasets to drive discoveries in personalized medicine and drug development, using Python and R to interpret data.

You will design pipelines for WGS, WES, and RNA-Seq, apply ML methods, and collaborate with molecular biologists, geneticists, and clinicians to translate findings into actionable insights.

Qualifications

• PhD in a quantitative field (Bioinformatics, CS, Statistics).
• 5+ years post-PhD in bioinformatics/genomics data analysis.
• Expertise with large-scale NGS datasets and statistical methods.
• Proficiency in Python and R for data analysis.
• Experience with Snakemake or Nextflow and Git.

Responsibilities

• Design and implement bioinformatics pipelines for NGS data (WGS, WES, RNA-Seq).
• Perform statistical analysis to identify biomarkers and targets.
• Develop ML models for predictive analytics in biology.
• Collaborate with scientists to integrate multi-omics data.
• Write robust, reproducible code and workflows in Python and R.
• Visualize genomic data for diverse audiences.
• Contribute to experimental design and analytic strategy.
• Stay updated on bioinformatics advances.
• Participate in remote team meetings and planning.

Skills

Bioinformatics pipelines

NGS analysis

Python

R

Snakemake

Nextflow

Git

Machine learning

Cloud computing

Education

Ph.D. in Bioinformatics

Tools

Nextflow

Git

Docker

Bioconductor

Job description

About the Role

Our client, a pioneering biotechnology firm at the forefront of genomic research, is actively seeking a talented and experienced Remote Bioinformatics Scientist to join their globally distributed, dynamic R&D team. This pivotal role will focus on the analysis of large-scale genomic datasets to drive discoveries in personalized medicine and drug development. You will leverage your expertise in computational biology, statistical analysis, and machine learning to interpret complex biological data, uncover novel insights, and contribute to the development of groundbreaking therapeutic strategies. The position is entirely remote, offering the flexibility to work from anywhere, though a strong internet connection and a dedicated home office setup are essential. Our client values innovation, collaboration, and scientific rigor in a fully remote-first environment.

Key Responsibilities

• Design and implement sophisticated bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including WGS, WES, and RNA-Seq.
• Perform statistical analysis and interpretation of genomic data to identify disease-associated genes, biomarkers, and therapeutic targets.
• Develop and apply machine learning algorithms for predictive modeling and pattern recognition in biological datasets.
• Collaborate closely with molecular biologists, geneticists, and clinicians to integrate multi-omics data and translate findings into actionable insights.
• Create robust, reproducible, and well-documented code and workflows using languages like Python and R.
• Visualize complex genomic data for effective communication to both technical and non-technical audiences.
• Contribute to the design of experiments and the selection of appropriate analytical approaches.
• Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
• Actively participate in team meetings and contribute to project planning and strategy discussions, leveraging remote collaboration tools.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• A minimum of 5 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomic data analysis.
• Demonstrated expertise in analyzing large-scale NGS datasets (e.g., variant calling, differential gene expression, motif analysis).
• Proficiency in programming languages commonly used in bioinformatics, such as Python (Biopython, pandas, NumPy) and R (Bioconductor).
• Experience with workflow management systems (e.g., Snakemake, Nextflow) and version control (e.g., Git).
• Solid understanding of statistical methods and machine learning techniques relevant to biological data.
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
• Excellent communication and collaboration skills, particularly in a remote team setting.
• Proven ability to work independently, manage priorities, and deliver high-quality results in a distributed work model.

Benefits

• Our client offers a highly competitive salary and bonus structure designed to attract top global talent.
• Employees receive comprehensive health, dental, and vision insurance.
• We provide a generous home office stipend, a yearly professional development budget for conferences and training, and unlimited paid time off.
• Our client fosters a flexible and supportive remote work culture, emphasizing work-life balance and employee well-being.
• Opportunities for career advancement in a rapidly growing and innovative company are abundant.