Senior Systems Biologist - Preclinical Research

Placements24; East London; Hybrid; ZAR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Fully remote work

Job summary

Placements24 is seeking a Senior Systems Biologist for a remote-first team to integrate multi-omics data, build computational models, and validate predictions in preclinical research.

You will collaborate with biologists, pharmacologists, and bioinformaticians to unravel disease mechanisms and identify targets, applying systems biology and machine learning to complex problems in a fully remote setting.

Qualifications

• PhD in Systems Biology or related quantitative field.
• Minimum 5 years of post-doctoral or industry experience applying systems biology principles.
• Proficiency in Python, R and MATLAB; experience with network analysis tools.

Responsibilities

• Develop and apply systems biology approaches to analyze complex datasets across omics.
• Construct computational models of networks and pathways to understand disease and drug responses.
• Integrate diverse data to generate hypotheses and identify regulatory targets.
• Collaborate with experimental biologists and bioinformaticians to validate predictions.
• Develop algorithms for network/pathway analysis and quantitative modeling.
• Interpret outputs and present findings to scientific and non-scientific audiences.
• Stay updated on advances in systems and computational biology.
• Contribute to publications and conferences.

Skills

Python

R

MATLAB

Statistical modeling

Machine learning

Remote collaboration

Education

PhD in Systems Biology or related field

Tools

Cytoscape

Ingenuity Pathway Analysis

Job description

About the Role

Our client, an innovative research organization, is seeking a Senior Systems Biologist to join their growing, remote-first team. This role is dedicated to unraveling the complexity of biological systems through the integration of multi-omics data, computational modeling, and experimental validation. You will be responsible for developing holistic models of biological networks to understand disease mechanisms and identify novel therapeutic targets. The ideal candidate will possess a strong interdisciplinary background, combining expertise in biology, computational science, and mathematics, with a proven ability to apply systems biology approaches to complex biological problems. This position offers the flexibility of remote work while contributing to high-impact preclinical research.

Key Responsibilities

• Develop and apply systems biology approaches to analyze complex biological datasets, including genomics, transcriptomics, proteomics, and metabolomics.
• Construct computational models of biological networks and pathways to understand cellular functions, disease pathogenesis, and drug responses.
• Integrate diverse data types to generate hypotheses and identify key regulatory nodes or potential therapeutic targets.
• Collaborate closely with experimental biologists, pharmacologists, and bioinformaticians to design experiments that validate computational predictions.
• Develop and implement algorithms for network analysis, pathway analysis, and quantitative modeling.
• Interpret model outputs and communicate findings effectively to both scientific and non-scientific audiences through presentations and written reports.
• Stay abreast of the latest advancements in systems biology, computational biology, and relevant biological domains.
• Contribute to scientific publications and presentations at relevant conferences.

Requirements

• Ph.D. in Systems Biology, Computational Biology, Bioinformatics, Biophysics, or a related quantitative field with a strong biological component.
• Minimum of 5 years of relevant post-doctoral or industry experience applying systems biology principles.
• Proficiency in programming languages commonly used in scientific computing (e.g., Python, R, MATLAB).
• Experience with biological network construction and analysis tools (e.g., Cytoscape, Ingenuity Pathway Analysis).
• Strong understanding of statistical modeling, dynamical systems, and/or machine learning techniques.
• Familiarity with experimental biological data generation and interpretation.
• Excellent problem-solving, analytical, and critical thinking skills.
• Effective remote communication and collaboration skills, with experience working in distributed teams.

Benefits

Our client offers a competitive salary, comprehensive benefits package, and the flexibility of a fully remote work arrangement.

Employees have the opportunity to engage in cutting-edge research, contribute to significant scientific advancements, and work within a supportive and innovative virtual environment. Professional development is encouraged through online courses and virtual conferences.