Remote Senior Computational Biologist

Placements24; Durban; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Fully remote

Job summary

Placements24 is seeking a Senior Computational Biologist to join a fully remote research team. You will analyze large-scale omics data (genomics, transcriptomics, proteomics) using Python or R, develop ML models, and collaborate with biologists to guide research directions.

The role emphasizes building robust pipelines, delivering interpretable results, and communicating findings to diverse audiences while working from anywhere with a world-class team.

Qualifications

• PhD in computational biology, bioinformatics, statistics, or a related quantitative field.
• Minimum six years of professional experience analyzing omics datasets.
• Proficient in Python or R with Bioconductor, SciPy, and Pandas.
• Experience with Bash scripting and HPC or cloud platforms (AWS, GCP).
• Strong background in statistical modeling, ML, and data visualization for biology.

Responsibilities

• Develop and implement sophisticated computational methods for large-scale biological data (NGS, transcriptomics, proteomics).
• Design bioinformatics analyses to identify pathways, biomarkers and drug targets.
• Collaborate with experimental biologists and bioinformaticians to interpret results.
• Build and maintain data analysis pipelines and databases for data management.
• Develop predictive models and ML algorithms for biological data interpretation.
• Present findings clearly to technical and non-technical audiences.

Skills

Python

R

Bioconductor

SciPy

Pandas

Bash

AWS

GCP

HPC

Machine Learning

Data Visualization

Genomics

Education

PhD in Computational Biology or related field

Tools

HPC cluster

Cloud Platforms

NGS pipelines

Job description

About the Role

Our client is actively seeking a highly skilled and motivated Senior Computational Biologist to join their fully remote research team, contributing to groundbreaking work based out of Durban . This role is central to analyzing complex biological datasets, including genomics, transcriptomics, and proteomics, to uncover novel insights and drive therapeutic development. You will leverage your expertise in bioinformatics, statistical analysis, and machine learning to interpret large-scale data generated from diverse research projects. This is an exceptional opportunity for a seasoned professional to work from anywhere while collaborating with a world-class team dedicated to advancing biological research.

Key Responsibilities

• Develop and implement sophisticated computational and statistical methods for analyzing large-scale biological data, such as next-generation sequencing (NGS) data.
• Design and perform bioinformatics analyses to identify key biological pathways, biomarkers, and potential drug targets.
• Collaborate closely with experimental biologists and bioinformaticians to interpret results and guide future research directions.
• Build and maintain robust data analysis pipelines and databases for efficient data management and retrieval.
• Contribute to the development of predictive models and machine learning algorithms for biological data interpretation.
• Present complex findings clearly and concisely to both technical and non-technical audiences.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 6 years of professional experience in computational biology or bioinformatics, with a focus on analyzing 'omics' data.
• Strong programming skills in Python or R, and experience with relevant bioinformatics libraries and tools (e.g., Bioconductor, SciPy, Pandas).
• Proficiency in scripting languages (e.g., Bash) and experience with high-performance computing environments or cloud platforms (AWS, GCP).
• Demonstrated experience in statistical modeling, machine learning, and data visualization techniques applied to biological problems.

Benefits

• Competitive salary and comprehensive benefits package, fully remote.
• Significant opportunities for professional growth and skill development in a cutting-edge research environment.
• Exposure to diverse biological datasets and challenging research questions.
• Flexible work hours and the ability to work from any location.
• Collaborative and intellectually stimulating virtual work environment.