Remote | Computational Pharmacokinetics & Systems Biology Scientist — $60–$75/hour

We are sharing a specialised part-time consulting opportunity for computational pharmacokinetics and systems biology professionals with strong expertise in PK/PD modelling, biological simulation, SBML-based workflows, scientific Python, and research-grade computational software. This role focuses on designing challenging computational problems based on authentic pharmacokinetics and systems biology workflows. Selected experts will build graduate-level scientific tasks involving simulation, model interrogation, experiment design, and quantitative reasoning, then test and refine those tasks to ensure they require genuine scientific problem-solving. Key Responsibilities Computational Pharmacokinetics Design research-level problems involving compartmental pharmacokinetic and PK/PD models Develop scenarios involving dosing, concentration-time behaviour, exposure, and response Build computational workflows requiring multi-step simulation and quantitative interpretation Create problems where correct solutions depend on appropriate model setup and scientific reasoning Identify realistic edge cases and failure modes in pharmacokinetic simulations Systems Biology Modelling Develop problems involving biochemical networks, enzyme kinetics, and dynamic biological systems Work with mechanistic models represented through SBML-based frameworks Design simulation tasks involving pathway behaviour, parameter changes, and system responses Create scenarios requiring interpretation of complex model dynamics Ensure tasks reflect authentic computational systems biology research workflows Scientific Software Workflows Build problems using tools such as libRoadRunner, Tellurium, and SBML-based software Write and validate computational setups using specialised scientific libraries Test software behaviour across realistic and challenging modelling scenarios Incorporate tool-specific limitations, edge cases, and numerical considerations Evaluate whether solutions use scientific software correctly rather than relying on superficial reasoning Simulation & Experiment Design Develop tasks requiring strategic selection of simulations, queries, or computational experiments Create problems where important information must be inferred from partial model outputs Design workflows requiring candidates to determine what to measure or simulate next Evaluate efficiency and scientific validity of alternative investigation strategies Build problems where careful experiment design is central to reaching the correct conclusion Python & Computational Validation Write Python-based problem setups, reference calculations, oracle functions, and solution validators Develop reproducible computational pipelines for scientific tasks Verify numerical outputs and expected solution behaviour Diagnose discrepancies caused by implementation, modelling, or numerical issues Maintain reproducibility across Linux-based remote compute environments Problem Design & Refinement Create original graduate-level computational problems grounded in real research practice Develop both exact-answer tasks and open-ended investigation workflows Test tasks against advanced computational systems Analyse model performance and refine tasks to achieve the intended difficulty Ensure challenge comes from scientific reasoning rather than unnecessary complexity or brute-force computation Reference Solutions & Evaluation Produce authoritative reference solutions and supporting computational outputs Define objective criteria for correctness, completeness, and scientific validity Validate that tasks have well-supported expected outcomes Distinguish genuine domain expertise from surface-level pattern matching Refine evaluation criteria based on testing and reviewer feedback Ideal Profile Graduate-level expertise in pharmacokinetics, pharmacology, systems biology, computational biology, bioengineering, or a closely related STEM field MS, PhD, or equivalent research experience preferred Proven hands-on proficiency with at least one relevant scientific software environment, including libRoadRunner, Tellurium, or other SBML-based tools Practical experience with compartmental PK/PD modelling, enzyme kinetics, or systems biology simulations Strong Python programming skills Experience writing code for genuine research, scientific, or professional workflows Understanding of numerical behaviour, software limitations, and edge cases in computational modelling Comfortable working in Linux/terminal environments and remote compute sandboxes Ability to work independently and refine computational problems based on testing and feedback Research publications, open-source contributions, or professional work demonstrating relevant software expertise are highly valued Experience with benchmark design, scientific teaching, exam or problem-set development is advantageous Familiarity with computational reproducibility and containerised environments is advantageous Engagement Details Part-time independent contractor engagement Fully remote Minimum availability of approximately 15–20 hours per week Flexible scheduling based on project requirements Compensation: $60–$75/hour Work may include computational problem design, simulation development, reference-solution creation, testing, and validation Projects may be extended, shortened, or concluded based on project needs and performance Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party H1-B and STEM OPT support is unavailable for this engagement About the Platform This opportunity is available through 24-MAG LLC. 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