Lead Computational Biologist (Systems Biology)

Placements24; Stellenbosch; Hybrid; ZAR 2,470,000 - 3,458,000; Full time

Benefits offered by this job

Stock options

Health, dental, vision benefits

Fully remote work

Research tools funding

Paid time off

Job summary

Placements24 is seeking an experienced Lead Computational Biologist to spearhead systems biology initiatives in a fully remote role. You will develop computational models, integrate multi-omics data, and lead projects while mentoring a team of computational biologists.

You will collaborate with experimentalists and clinicians, build predictive models for drug efficacy and patient stratification, and stay at the cutting edge of computational biology techniques across cloud and HPC environments.

Qualifications

• PhD in Computational Biology, Bioinformatics, Systems Biology, CS or related field.
• 7+ years in computational biology or systems biology with multi-omics integration.
• Strong expertise in network/pathway analysis and mathematical modeling.
• Proficiency in Python or R and relevant statistical packages.
• Experience with HPC environments and cloud platforms.
• Leadership and mentoring experience; strong remote communication skills.

Responsibilities

• Develop computational frameworks for systems biology analyses.
• Integrate multi-omics data to build network models.
• Identify key pathways, biomarkers, and disease mechanisms.
• Collaborate with experimentalists and clinicians to validate findings.
• Lead and mentor a team of computational biologists.
• Develop predictive models for drug efficacy and patient stratification.
• Design high-throughput experiments to generate data.
• Present findings to internal teams and conferences.
• Stay current with emerging techniques and tools.

Skills

Python

R

Network analysis

Systems biology

Biostatistics

Leadership

Mentoring

Communication

Education

PhD in Computational Biology

Tools

Cloud platforms

High-performance computing

Job description

About the Role

Our client, a pioneer in precision medicine, is seeking an experienced Lead Computational Biologist to spearhead their systems biology initiatives. This is a fully remote position, allowing you to contribute from anywhere. You will be responsible for developing and applying computational models to understand complex biological systems, integrating multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to uncover novel insights into disease mechanisms and therapeutic responses. This role offers the chance to lead projects, mentor a team of computational biologists, and collaborate with world-class researchers. We are looking for a visionary leader passionate about leveraging computational approaches to revolutionize healthcare, all within a dynamic remote work environment.

Key Responsibilities

• Develop and implement computational frameworks for systems biology analysis.
• Integrate and analyze large-scale multi-omics datasets to build comprehensive biological network models.
• Identify key pathways, molecular players, and biomarkers involved in disease progression and treatment response.
• Collaborate with experimental biologists and clinicians to validate computational findings.
• Lead and mentor a team of computational biologists, guiding their research and development.
• Develop predictive models for drug efficacy and patient stratification.
• Contribute to the design of high-throughput experiments to generate systems-level data.
• Present research findings to internal teams and at scientific conferences.
• Stay current with emerging computational biology techniques and tools.

Requirements

• PhD in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or systems biology, with significant experience in integrating multi-omics data.
• Strong expertise in network analysis, pathway analysis, and mathematical modeling of biological systems.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics and statistical packages.
• Experience with high-performance computing environments and cloud platforms.
• Proven ability to lead research projects and mentor junior scientists.
• Excellent communication and interpersonal skills, vital for remote team collaboration.
• Strong understanding of molecular biology and disease mechanisms.
• Demonstrated ability to work independently and manage complex projects effectively.

Benefits

• Highly competitive salary and bonus potential.
• Stock options in a rapidly growing biotech company.
• Comprehensive health, dental, and vision benefits.
• Generous funding for research tools, software, and professional development.
• Opportunity to lead impactful research in precision medicine.
• Fully remote work arrangement, offering significant flexibility.
• Collaborative and intellectually stimulating work environment.
• Generous paid time off and holidays.