We are sharing a specialised part-time consulting opportunity for pharmacokinetics and systems biology professionals experienced in PK/PD modeling, SBML-based tools, libRoadRunner, Tellurium, Python scientific computing, and benchmark evaluation workflows.
This role supports current and upcoming remote consulting opportunities focused on pharmacokinetics and systems biology problem design, scientific software evaluation, simulation workflow development, Python-based validation, and high-quality project execution. Selected professionals will design challenging research-grade computational problems, create precise expected outputs, develop validation logic, and refine task difficulty based on structured calibration feedback.
Key Responsibilities
Professionals in this role may contribute to:
Computational PK/PD & Systems Biology Problem Design
Design original graduate-level computational problems grounded in real pharmacokinetics, pharmacodynamics, and systems biology workflows
Create tasks involving compartmental modeling, enzyme kinetics, systems biology simulations, and scientific software use
Develop problems that require precise outputs from fully specified computational setups
Design tasks that test strategic reasoning, experimental planning, query design, and interpretation of partial simulation outputs Scientific Software & Simulation Workflow Evaluation
Work with libRoadRunner, Tellurium, SBML-based tools, or related scientific software
Design problems involving compartmental PK/PD modeling, enzyme kinetics, pathway simulations, and systems biology model behavior
Evaluate simulation setup, parameter reasoning, model interpretation, and computational workflow correctness
Identify edge cases, software limitations, model sensitivity issues, or reasoning traps that make a task genuinely challenging Python-Based Validation & Benchmark Calibration
Write Python problem setups, oracle functions, and solution validators
Refine tasks through calibration feedback until the difficulty reaches the target range
Evaluate whether tasks require real scientific reasoning rather than surface-level pattern matching
Maintain technical accuracy, reproducibility, and clear documentation across submitted task materials Ideal Profile
Strong candidates may have:
Graduate-level expertise in pharmacokinetics, pharmacodynamics, systems biology, computational biology, bioengineering, pharmacology, or a closely related STEM field
MS, PhD, or equivalent research experience in a relevant domain
Hands-on experience using libRoadRunner, Tellurium, SBML-based tools, or other specialized scientific software in real research workflows
Strong Python programming skills for scientific computing, validation logic, and task setup
Ability to design difficult problems where the challenge comes from reasoning strategy rather than brute computation
Comfort working independently and iterating on problem designs based on feedback
Ability to work in Linux, terminal-based environments, or remote compute sandboxes Educational Background
MS, PhD, or equivalent research experience in pharmacokinetics, systems biology, computational biology, bioengineering, pharmacology, biomedical engineering, or a related scientific field is preferred
Research publications, open-source contributions, professional scientific software work, or applied computational research experience are highly relevant
Experience writing scientific code to solve actual research problems is especially valuable Nice to Have
Experience across multiple scientific software tools, simulation environments, or computational modeling domains
Familiarity with benchmark design, evaluation design, calibration workflows, or scientific task validation
Background in scientific pedagogy, exam design, problem-set creation, or graduate-level technical assessment
Experience with computational reproducibility, containerized environments, remote compute, or research software packaging
Ability to commit approximately 15–20 hours per week depending on project availability and scope Why This Opportunity
Apply pharmacokinetics and systems biology expertise to structured remote scientific problem design work
Contribute to high-quality benchmark tasks involving PK/PD modeling, SBML-based simulations, and Python-based validation
Work on flexible assignments aligned with your research background and scientific software experience
Use your ability to design rigorous, strategic, research-grade computational problems
Remote structure with competitive hourly compensation Contract Details
Independent contractor role
Fully remote with flexible scheduling
Eligible professionals may be based in approved project locations depending on project needs
Expected commitment of approximately 15–20 hours per week depending on project availability
Competitive rates between $60–$90 per hour depending on expertise and project scope
Weekly payments via Stripe or Wise
Projects may be extended, shortened, or adjusted depending on scope and performance
Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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