Remote Senior Bioinformatics Scientist

Placements24; Paarl; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

Performance bonuses

Health coverage

Home office stipend

Job summary

Placements24 is seeking a Senior Bioinformatics Scientist to join a fully remote team. The role involves analyzing genomics, transcriptomics, and proteomics data, developing computational methods, and collaborating with biologists and computational scientists.

The ideal candidate will have a PhD or MSc in a quantitative field, 5+ years of bioinformatics experience, strong Python or R skills, and experience with cloud platforms and workflow management systems.

Qualifications

• PhD or MSc in Bioinformatics, Computational Biology, Computer Science, or related quantitative field.
• 5+ years of bioinformatics analysis experience with a focus on genomics and transcriptomics.
• Proficiency in Python or R and experience with bioinformatics libraries.
• Experience with cloud platforms (AWS, GCP, Azure) and workflow systems (Nextflow, Snakemake).
• Strong understanding of molecular biology, genetics, and statistical principles.

Responsibilities

• Develop and implement scalable bioinformatics pipelines for analyzing large-scale omics data (NGS, WGS, RNA-Seq).
• Perform statistical analysis and data visualization to interpret complex datasets.
• Collaborate with experimental biologists to design studies and analyze results.
• Develop and maintain computational tools and databases to support research.
• Contribute to manuscript preparation and presentation of findings to scientific audiences.
• Stay abreast of advancements in bioinformatics tools, algorithms, and interpretation methods.

Skills

Python

R

Genomics analysis

Education

PhD or MSc in Bioinformatics or related

Tools

Nextflow

Snakemake

AWS

GCP

Azure

Job description

About the Role

Our client is looking for a talented Senior Bioinformatics Scientist to join their innovative team, working entirely remotely. This role is at the forefront of analyzing complex biological data, including genomics, transcriptomics, and proteomics, to drive research discoveries. You will develop and apply computational methods, collaborate with biologists and computational biologists, and contribute to high-impact projects. The ideal candidate is a self-motivated individual with strong computational skills, a deep understanding of biological systems, and a passion for data-driven insights, all within a fully remote working structure that promotes flexibility and autonomy.

Key Responsibilities

• Develop and implement scalable bioinformatics pipelines for analyzing large-scale omics data (e.g., NGS, WGS, RNA-Seq).
• Perform statistical analysis and data visualization to interpret complex biological datasets.
• Collaborate with experimental biologists to design studies and analyze results effectively.
• Develop and maintain computational tools and databases to support research efforts.
• Contribute to manuscript preparation and presentation of findings to scientific audiences.
• Stay abreast of advancements in bioinformatics tools, algorithms, and biological interpretation methods.

Requirements

• Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• 5+ years of experience in bioinformatics analysis, with a strong focus on genomics and transcriptomics.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries.
• Experience with cloud computing platforms (AWS, GCP, Azure) and workflow management systems (e.g., Nextflow, Snakemake).
• Strong understanding of molecular biology, genetics, and statistical principles.

Benefits

• Highly competitive remote salary and performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous remote work stipend for home office setup and expenses.
• Opportunities for professional growth and development, including online courses and conferences.
• Flexible work hours and a supportive, collaborative remote team culture.