Remote Senior Computational Biologist - Genomics Analysis

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Performance bonuses

Remote work setup allowance

Health, dental, and vision insurance

Job summary

Placements24 is seeking a Remote Senior Computational Biologist for a pioneering biotechnology company focused on unlocking the potential of genomics. You will analyze large-scale genomic datasets to drive discoveries in drug development and personalized medicine, collaborating with a world-class team of scientists and bioinformaticians.

The role is fully remote, requiring deep knowledge of bioinformatics tools, statistical genetics, and large-scale data analysis within a remote-first

Qualifications

• PhD in Computational Biology, Bioinformatics, Genetics, CS, Statistics, or related quantitative field.
• Minimum 5 years of post-doctoral or industry experience in computational genomics.
• Proficiency in Python or R and experience with bioinformatics tools.
• Strong understanding of statistical genetics, population genetics, and machine learning applied to biological data.
• Experience with cloud computing platforms (AWS, GCP) and HPC environments.
• Proven ability to analyze and interpret complex genomic datasets.
• Excellent communication and collaboration skills in a remote team setting.
• Experience with data visualization tools and techniques.
• Strong publication record in peer-reviewed journals.

Responsibilities

• Design and implement computational pipelines for large-scale genomic and transcriptomic data (WGS, WES, RNA-Seq).
• Develop and apply statistical methods to identify genetic variants linked to diseases and phenotypes.
• Collaborate with biologists and clinicians to interpret findings and inform research strategies.
• Maintain reproducible analysis workflows using scripting languages and version control.
• Contribute to study design and experimental protocols.
• Build predictive models from genomic data for patient stratification and treatment response.
• Present findings to internal teams and at scientific conferences.
• Stay current with advances in genomics, bioinformatics, and computational biology.

Skills

Python

R

Statistical genetics

Machine learning

Data visualization

Remote collaboration

Education

PhD in Computational Biology / Bioinformatics / Genetics

Tools

AWS

GCP

High-Performance Computing

Job description

About the Role

Our client is a pioneering biotechnology company focused on unlocking the potential of genomics, and they are seeking a highly accomplished Remote Senior Computational Biologist to join their innovative team. This role is pivotal in analyzing vast genomic datasets to drive discoveries in drug development and personalized medicine. You will be working remotely, collaborating with a world-class team of scientists and bioinformaticians. The ideal candidate will possess a deep understanding of bioinformatics tools, statistical genetics, and large-scale data analysis within a remote-first environment. This is an exceptional opportunity to contribute to cutting-edge research from the comfort of your home office, impacting human health on a global scale. The role is fully remote, allowing significant flexibility for qualified candidates.

Key Responsibilities

• Design and implement computational pipelines for the analysis of large-scale genomic and transcriptomic data (e.g., WGS, WES, RNA-Seq).
• Develop and apply statistical methods to identify genetic variants associated with diseases and phenotypes.
• Collaborate with experimental biologists and clinicians to interpret genomic findings and inform research strategies.
• Develop and maintain reproducible analysis workflows using scripting languages and version control systems.
• Contribute to the design of genomic studies and experimental protocols.
• Build predictive models based on genomic data for patient stratification and treatment response.
• Present findings to internal teams and at scientific conferences.
• Stay current with the latest advancements in genomics, bioinformatics, and computational biology.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Genetics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 5 years of post-doctoral or industry experience in computational genomics.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases.
• Strong understanding of statistical genetics, population genetics, and machine learning applied to biological data.
• Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments.
• Proven ability to analyze and interpret complex genomic datasets.
• Excellent communication and collaboration skills, with experience working in a remote team setting.
• Experience with data visualization tools and techniques.
• Strong publication record in peer-reviewed journals.

Benefits

• Competitive salary with performance bonuses.
• Fully remote work arrangement with a home office setup allowance.
• Comprehensive health, dental, and vision insurance plans.
• Stock options and equity participation.
• Generous professional development budget for courses and conferences.
• Flexible working hours.
• 401(k) matching program.