Remote Senior Bioinformatician - Genomics

Placements24; Rustenburg; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Remote work

Health insurance

Professional development

Retirement plan

Job summary

Placements24 is seeking a Senior Bioinformatician for a fully remote role. You will analyze large-scale genomic data, develop pipelines for variant calling and expression analysis, and interpret findings within disease pathways.

Collaboration with global teams of scientists and clinicians is essential. The ideal candidate holds a PhD or MSc in a quantitative field, 5+ years in genomics, and strong skills in Python/R, Linux, stats, and ML.

Qualifications

• PhD or MSc in a quantitative field (Bioinformatics/Genomics/CS)
• Minimum 5 years of hands-on genome analysis experience
• Proficient in Python and/or R; comfortable with Linux/Unix
• Strong knowledge of genomic data formats and analysis tools
• Experience with cloud platforms (AWS/GCP/Azure) is a plus
• Solid statistics background and ML experience

Responsibilities

• Analyze large-scale genomic datasets (WGS, WES, RNA-Seq, ChIP-Seq)
• Build and optimize robust bioinformatics pipelines
• Interpret results in biological pathways and disease contexts
• Collaborate with wet-lab scientists and clinicians on experiments
• Stay updated on genomics tools and computational methods
• Create data visualizations and reports for stakeholders
• Troubleshoot data processing pipelines and issues
• Present findings in virtual meetings and conferences

Skills

Python

R

Linux/Unix

Statistics

Machine learning

Education

PhD or MSc in Bioinformatics/Genomics/CS

Tools

GATK

STAR

DESeq2

Cloud platforms

Job description

About the Role

Our client is a pioneering force in precision medicine, actively seeking a Senior Bioinformatician to join their distributed, world-class research team. This is a fully remote position, ideal for an experienced professional looking for flexibility and the opportunity to work on impactful projects from anywhere. You will be instrumental in analyzing complex genomic datasets to uncover critical insights into disease mechanisms, identify potential therapeutic targets, and contribute to the development of personalized treatment strategies. The successful candidate will possess a deep understanding of genomic data analysis pipelines, statistical methods, and programming. You will collaborate closely with a global team of geneticists, biologists, and clinicians, leveraging your expertise to translate raw data into meaningful biological discoveries. This role requires a self-motivated individual who excels in a remote-first environment, capable of independent work and effective virtual collaboration. Our client is dedicated to fostering innovation and believes in empowering their researchers with the tools and autonomy needed to achieve significant breakthroughs in genomics and healthcare.

Key Responsibilities

• Analyze large-scale genomic datasets, including WGS, WES, RNA-Seq, and ChIP-Seq data.
• Develop, optimize, and implement robust bioinformatics pipelines for variant calling, gene expression analysis, and other genomic studies.
• Interpret genomic findings in the context of biological pathways and disease mechanisms.
• Collaborate with wet-lab scientists and clinicians to design experiments and interpret results.
• Stay current with the latest advancements in genomics, bioinformatics tools, and computational techniques.
• Contribute to the development of data visualization tools and reports for researchers and stakeholders.
• Troubleshoot and resolve issues related to data processing and analysis pipelines.
• Participate in scientific discussions and present findings in virtual team meetings and conferences.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related quantitative field.
• Minimum of 5 years of hands-on experience in analyzing large-scale genomic datasets.
• Proficiency in scripting languages such as Python and/or R, and experience with command-line interfaces (Linux/Unix).
• Solid understanding of genomic data formats (e.g., FASTQ, BAM, VCF) and relevant analysis tools (e.g., GATK, STAR, DESeq2).
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
• Strong statistical background and experience with machine learning techniques.
• Excellent analytical and problem-solving skills.
• Proven ability to work independently and manage multiple projects effectively in a remote setting.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.

Benefits

• Our client offers a competitive salary, commensurate with experience, and a comprehensive remote work benefits package.
• This includes excellent health, dental, and vision insurance, a generous retirement savings plan with company matching, and flexible paid time off.
• We support professional development through online courses, conference attendance (virtual or in-person), and access to cutting-edge computational resources.
• This role provides the ultimate flexibility, allowing you to work from the location of your choice while contributing to transformative research in genomics.
• Join our client and be part of a forward-thinking, globally distributed team.