Remote Senior Bioinformatician - Genomics

Placements24; Bloemfontein; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Flexible work hours

Work from home

Professional development budget

Cloud resources

Job summary

Placements24 is seeking a Senior Bioinformatician with Genomics expertise to join a distributed research team. This fully remote role offers the flexibility to work from anywhere within the specified region, contributing to cutting-edge genomic studies.

You will develop and apply advanced computational approaches to analyze large-scale data, driving insights for research initiatives, with emphasis on independent work in a virtual setting.

Qualifications

• Ph.D. or Master's degree in a quantitative field.
• Minimum 6 years hands-on bioinformatics experience.
• Proficiency in Python, R, or Perl and Linux/Unix.
• Strong knowledge of NGS data analysis tools and pipelines.

Responsibilities

• Design, implement, and maintain robust bioinformatics pipelines for NGS data (WGS, WES, RNA-seq).
• Perform statistical analyses and develop ML models to identify genetic variants and expression patterns.
• Collaborate with clinicians and researchers to translate findings into insights.
• Develop algorithms for sequence alignment, variant calling, and genome annotation.
• Contribute to publications and presentations, communicating complex concepts.
• Maintain documentation for pipelines and analyses to ensure reproducibility.

Skills

Python

R

Perl

Linux/Unix

Machine learning

Statistics

Education

Ph.D. or Master's in Bioinformatics, Computational Biology, Statistics, Computer Science, or related field

Tools

GATK

BWA

STAR

IGV

Job description

About the Role

Our client is seeking a highly skilled Senior Bioinformatician with a specialization in Genomics to join their distributed research team. This is a fully remote position, offering the flexibility to work from anywhere within the specified region while contributing to cutting-edge scientific discoveries. You will be responsible for developing and applying advanced computational approaches to analyze large-scale genomic datasets, driving insights that are crucial for our client's research initiatives. This role requires a deep understanding of bioinformatics principles, strong programming skills, and the ability to work independently in a virtual environment.

Key Responsibilities

• Design, implement, and maintain robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq.
• Perform complex statistical analyses and develop machine learning models to identify genetic variants, gene expression patterns, and functional genomic elements.
• Collaborate with geneticists, biologists, and clinicians to interpret genomic findings and translate them into actionable research insights.
• Develop and optimize algorithms for sequence alignment, variant calling, and genome annotation, ensuring scalability and efficiency.
• Contribute to the development of scientific publications and presentations, effectively communicating complex bioinformatics concepts.
• Maintain comprehensive documentation for all pipelines, scripts, and analyses, ensuring reproducibility and adherence to best practices in Genomics research.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Minimum of 6 years of hands-on experience in bioinformatics, with a significant focus on genomic data analysis .
• Proficiency in programming languages such as Python, R, or Perl, and extensive experience with command-line environments (Linux/Unix).
• Strong knowledge of bioinformatics tools and databases relevant to NGS data analysis (e.g., "GATK", "BWA", "STAR", "IGV").
• Solid understanding of statistical genetics, population genetics, and machine learning methodologies.
• Proven ability to work independently and manage multiple projects effectively in a remote setting.

Benefits

• Highly competitive salary commensurate with experience.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and the ability to work from home.
• Generous budget for professional development, including online courses and conference attendance.
• Access to state-of-the-art computational resources and cloud platforms.