Senior Systems Biologist - Network Modeling
placements24Riverton (UT)
Senior Systems Biologist - Network Modeling
Posted today
placements24Riverton (UT)
SENIORITY
Senior
About the role
About the Role:
Our client, a forward-thinking leader in Scientific Research & Development, is actively recruiting a Senior Systems Biologist with a specialization in Network Modeling. This position is offered as a fully remote opportunity, allowing talented individuals to contribute from anywhere while driving innovative biological research. You will be responsible for developing and applying computational models to understand complex biological systems, analyzing interactions within cellular networks, and predicting system behavior. This role is critical for deciphering intricate biological processes, identifying potential therapeutic targets, and advancing our understanding of health and disease. The ideal candidate possesses a strong interdisciplinary background combining biology, mathematics, and computational science, with a proven ability to develop predictive models. You will collaborate extensively with experimental biologists, data scientists, and bioinformaticians across global research teams. Our client champions a remote-first work environment, fostering innovation, collaboration, and significant scientific impact.
Key Responsibilities:
Develop, validate, and apply computational models of biological networks (e.g., gene regulatory networks, metabolic pathways, signaling cascades).Integrate diverse datasets (genomics, proteomics, metabolomics, time-series data) to build comprehensive system models.
Design and perform in silico experiments to test hypotheses and predict the effects of perturbations.
Analyze complex biological network data to identify key nodes, pathways, and regulatory mechanisms.
Collaborate closely with experimental teams to design studies that generate data for model refinement and validation.
Develop and implement algorithms for network inference and analysis.
Utilize programming languages like Python or R, and relevant modeling software/libraries.
Communicate model findings, insights, and predictions effectively to both technical and non-technical audiences.
Stay abreast of advancements in systems biology, network science, and relevant biological domains.
Contribute to scientific publications and presentations, showcasing research outputs.
Requirements:
Ph. D. in Systems Biology, Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, or a related quantitative field. Minimum of 6 years of professional experience in systems biology or computational modeling of biological systems. Demonstrated expertise in network analysis, graph theory, and computational modeling techniques. Proficiency in programming languages such as Python or R, and experience with relevant modeling and simulation tools (e.g., MATLAB, NetLogo, COBRApy).Strong understanding of molecular biology, cell biology, and genetics. Experience integrating and analyzing multi-omics data is highly desirable. Excellent analytical, problem-solving, and critical thinking skills. Proven ability to work independently and lead collaborative projects in a remote setting. Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts. A track record of impactful research publications in the field is a strong asset.
Benefits:
Our client offers an excellent salary and a comprehensive benefits package, including health, dental, and vision insurance, along with retirement planning options. This fully remote role provides outstanding flexibility and work-life balance. Employees gain access to advanced computational resources and collaborative online platforms. Our client is committed to continuous professional development, offering access to online courses, virtual workshops, and opportunities for career progression. Join a globally distributed team at the forefront of systems biology, contributing to groundbreaking research that aims to unravel the complexity of life and improve human health.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.