Lead Computational Biologist - Systems Biology

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

Benefits offered by this job

Remote-first culture

Professional development budget

Competitive compensation and health &–

Job summary

Placements24 is seeking a Lead Computational Biologist to join a fully remote team driving innovations in systems biology and multi-omics integration. You will guide a team of computational biologists, collaborate with experimentalists and clinicians, and shape research directions from anywhere in a remote-first environment.

The role emphasizes developing predictive models of biological networks, mentoring staff, and staying at the forefront of bioinformatics and systems biology advancements to

Qualifications

• PhD in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or related quantitative field.
• Minimum 6 years of post-doctoral or relevant industry experience in computational biology with systems biology focus.
• Proficiency in Python or R and bioinformatics tools/databases.
• Experience with statistical modeling, network analysis, and ML in biology.

Responsibilities

• Lead development and application of systems biology approaches to analyze omics data.
• Design and implement computational models and algorithms for networks and pathways.
• Integrate diverse datasets to understand cellular processes and disease states.
• Collaborate with experimental biologists to design studies and generate hypotheses.
• Mentor junior computational biologists and foster innovation.
• Communicate findings through presentations/publications and support strategic planning of research initiatives.

Skills

Python

R

Machine learning

Bioinformatics

Leadership

Project management

Education

PhD in Computational Biology or related field

Tools

Python

R

Bioconductor

Jupyter

Job description

About the Role

Our client is a leader in leveraging computational approaches to unravel complex biological systems and accelerate therapeutic development. We are seeking an experienced Lead Computational Biologist to join our fully remote team, driving innovation in systems biology research. This role is paramount for integrating multi-omics data, developing predictive models of biological networks, and uncovering novel insights into disease mechanisms. You will guide a team of talented computational biologists and collaborate closely with experimental biologists and clinicians in a remote-first environment. This is a unique opportunity to shape the direction of biological research and contribute to life-saving advancements from anywhere.

Key Responsibilities

• Lead the development and application of systems biology approaches to analyze complex biological data (genomics, transcriptomics, proteomics, metabolomics).
• Design and implement computational models and algorithms to infer and simulate biological networks and pathways.
• Integrate diverse datasets to gain a holistic understanding of cellular processes and disease states.
• Collaborate with experimental biologists to design studies, interpret results, and generate hypotheses.
• Mentor and guide junior computational biologists, fostering scientific rigor and innovation.
• Stay abreast of the latest advancements in systems biology, bioinformatics, and related fields.
• Communicate research findings effectively to both technical and non-technical audiences through presentations and publications.
• Contribute to the strategic planning of computational biology research initiatives.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or relevant industry experience in computational biology, with a strong focus on systems biology.
• Demonstrated expertise in developing and applying computational models for biological data analysis.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases.
• Experience with statistical modeling, network analysis, and machine learning techniques applied to biological data.
• Strong understanding of molecular biology and cellular processes.
• Excellent leadership, communication, and collaboration skills, essential for effective work in a remote team.
• Proven ability to manage projects and mentor junior researchers.

Benefits

• Our client offers a highly competitive compensation package, including a substantial salary, performance bonuses, and comprehensive health and wellness benefits.
• We provide a generous budget for professional development, including conference attendance and training.
• Our remote-first culture emphasizes work-life balance and offers the flexibility to work from anywhere.
• Join a world-class team dedicated to advancing biological understanding and drug discovery.