Remote Computational Biologist – Genomics Focus

Placements24; Durban; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Health insurance

Stock options

Home office stipend

Professional development

Job summary

Placements24 is seeking a Remote Computational Biologist to join its pioneering bioinformatics team. You will develop and apply pipelines to analyze genomic and transcriptomic data, identify biological insights, and contribute to drug discovery initiatives.

The role requires a PhD and 4–6 years experience in computational biology, strong Python/R skills, and experience with NGS data. You will collaborate with bench scientists and clinicians in a fully remote setting.

Qualifications

• PhD in computational biology or related field.
• 4–6 years of genomics-focused experience.
• Proficient in Python or R and bioinformatics libraries.
• Experience with next-generation sequencing (NGS) data analysis.
• Ability to work independently in a remote team.

Responsibilities

• Analyze large-scale genomic, transcriptomic, and proteomic datasets using advanced computational methods.
• Develop and implement bioinformatics pipelines and algorithms for data processing.
• Collaborate with biologists and clinicians to interpret findings and design experiments.
• Identify biomarkers and potential therapeutic targets from complex data.
• Contribute to predictive models for disease progression and treatment response.
• Author and present research findings at conferences.

Skills

Python

R

Statistical analysis

Data visualization

Cloud platforms

Education

PhD in Computational Biology/Bioinformatics

Tools

Bioconductor

Samtools

BWA

Job description

About the Role

Our client, a pioneering bioinformatics company, is seeking a talented and driven Remote Computational Biologist to join their fully remote research team. This role is critical for advancing our understanding of genomic data through sophisticated computational analysis. You will be responsible for developing and applying bioinformatic tools and algorithms to analyze large-scale genomic and transcriptomic datasets, identify biological insights, and contribute to drug discovery and personalized medicine initiatives. The ideal candidate possesses a strong background in biology, advanced computational skills, and a passion for unraveling complex biological questions using data-driven approaches. You will work collaboratively with bench biologists, geneticists, and clinicians, all within a remote setting. This is an exceptional opportunity to contribute to cutting-edge research in genomics and computational biology from the convenience of your home office, impacting the future of healthcare.

Key Responsibilities

• Analyze large-scale genomic, transcriptomic, and proteomic datasets using advanced computational and statistical methods.
• Develop and implement novel bioinformatics pipelines and algorithms for data processing and analysis.
• Collaborate closely with experimental biologists and clinicians to interpret biological findings and design new experiments.
• Identify patterns, biomarkers, and potential therapeutic targets within complex biological data.
• Contribute to the development of predictive models for disease progression and treatment response.
• Stay current with the latest advancements in genomics, bioinformatics, and related computational fields.
• Author and co-author scientific publications and present research findings at relevant conferences.
• Manage and maintain bioinformatics databases and computational infrastructure.
• Troubleshoot and resolve computational and data analysis issues.
• Contribute to grant proposals and collaborative research projects.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Genetics, Computer Science, or a related quantitative field.
• Minimum of 4-6 years of experience in computational biology or bioinformatics research, with a focus on genomics.
• Strong programming skills in languages such as Python or R, and experience with bioinformatics tools and libraries (e.g., Bioconductor, Samtools, BWA).
• Proficiency in statistical analysis and data visualization techniques.
• Experience with next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills, with the ability to articulate technical concepts.
• Ability to work independently and effectively manage projects in a remote environment.
• A strong understanding of biological principles and molecular genetics.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Stock options or equity in a growing biotech company.
• Home office stipend and technology support.
• Generous professional development opportunities, including conference attendance.
• Flexible work hours and a healthy work-life balance.
• Collaborative and innovative research environment.
• Opportunity to work on impactful projects in genomics and personalized medicine.