Senior Systems Biologist - Preclinical Research

Placements24; East London; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Job summary

Placements24 is seeking a Senior Systems Biologist for a remote-first role focused on integrating multi-omics data, computational modeling, and experimental validation. You will develop holistic models of biological networks to elucidate disease mechanisms and identify novel therapeutic targets.

The ideal candidate holds a PhD with 5+ years of post-doctoral or industry experience in systems biology or related fields, and is proficient in Python, R, and MATLAB, with experience in network analysis

Qualifications

• PhD in Systems Biology or a related quantitative field.
• Minimum of 5 years post-doctoral or industry experience applying systems biology.
• Proficiency in Python, R, and MATLAB.
• Experience with biological network construction and analysis tools.
• Strong understanding of statistical modeling, dynamical systems, and/or machine learning.

Responsibilities

• Develop systems biology approaches to analyze multi-omics data.
• Construct computational models of biological networks and pathways.
• Integrate diverse data to identify targets and hypotheses.
• Collaborate with experimental biologists, pharmacologists, and bioinformaticians.
• Develop and implement algorithms for network analysis and modeling.
• Communicate findings to scientific and non-scientific audiences.

Skills

Python

R

MATLAB

Machine learning

Statistics

Analytical thinking

Remote collaboration

Education

PhD in Systems Biology or related

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.