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 15โ20 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 15โ20 hours per week depending on project availability
- Competitive rates between $60โ$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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