Senior Computational Biologist

Placements24; United States; Hybrid; USD 73,000 - 110,000; Full time

Benefits offered by this job

Flexible working hours

Remote work options

Medical aid and retirement fund

Professional development support

Access to HPC resources

Job summary

Placements24 is seeking a Senior Computational Biologist to lead analysis of genomics, transcriptomics, and proteomics datasets. You will build and apply advanced computational methods and ML to uncover insights and guide research directions.

The role involves close collaboration with experimental teams to translate computational findings into testable hypotheses and experimental designs, with flexible hours and remote work options available.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, Statistics or related quantitative field.
• Minimum of 5 years of experience in computational biology research with large-scale datasets.
• Proficiency in Python or R and experience with bioinformatics tools/databases.
• Strong statistical modeling, ML techniques, and data visualization skills.
• Excellent problem-solving and collaboration in a research environment located in Rustenburg.

Responsibilities

• Design and implement computational pipelines for high-throughput omics data.
• Develop and apply statistical and ML models to identify patterns and targets.
• Collaborate with experimental scientists to translate findings to hypotheses and validation strategies.
• Visualize and communicate complex data to technical and non-technical audiences.
• Stay updated with advances in computational biology and bioinformatics.

Skills

Python

R

Statistical modeling

Machine learning

Data visualization

Problem solving

Education

PhD in Computational Biology

Tools

Bioinformatics tools

Biology databases

Job description

About the Role

Our client is looking for a highly analytical Senior Computational Biologist to join their dynamic research team in Rustenburg . This role is crucial for leveraging large-scale biological datasets, including genomics, transcriptomics, and proteomics, to uncover novel biological insights and drive research strategies. You will develop and apply sophisticated computational methods and machine learning algorithms to analyze complex biological data, working closely with experimental biologists and bioinformaticians to translate computational findings into actionable biological hypotheses and experimental designs. This position offers a unique opportunity to contribute to high-impact research in a forward-thinking organization dedicated to advancing scientific understanding.

Key Responsibilities

• Design and implement computational pipelines for the analysis of high-throughput biological data (genomics, transcriptomics, proteomics).
• Develop and apply statistical and machine learning models to identify patterns, biomarkers, and therapeutic targets.
• Collaborate with experimental scientists to integrate computational findings with biological hypotheses and experimental validation strategies.
• Visualize and communicate complex data findings effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant biological domains.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in computational biology research, with a focus on analyzing large-scale biological datasets.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases.
• Strong understanding of statistical modeling, machine learning techniques, and data visualization.
• Excellent problem-solving skills and the ability to work collaboratively in a research environment located in Rustenburg .

Benefits

• Competitive salary and potential for annual bonuses.
• Flexible working hours and remote work options.
• Comprehensive medical aid and retirement fund contributions.
• Support for professional development, including conference attendance and training.
• Access to high-performance computing resources and a collaborative team atmosphere.