Computational Pharmacokinetics & Systems Biology Scientist

This is a fully remote position, open to applicants in New York.

📋 Description

• Design advanced computational pharmacokinetics problems that involve compartmental PK and PK/PD models.

• Create scenarios for dosing, concentration-time, exposure, and response analysis.

• Develop multi-step simulation workflows and quantitative interpretation processes.

• Identify realistic edge cases and potential failure modes within pharmacokinetic simulations.

• Construct systems biology problems that include biochemical networks, enzyme kinetics, dynamic biological systems, and SBML-based mechanistic models.

• Generate simulation tasks that encompass pathway behavior, parameter alterations, system responses, and intricate model dynamics.

• Establish and validate problems utilizing libRoadRunner, Tellurium, and SBML-based software.

• Evaluate software behavior across realistic modeling scenarios and assess the use of scientific software.

• Design workflows for simulations and experiments that necessitate strategic selection of queries, measurements, or computational experiments.

• Write problem setups, reference calculations, oracle functions, and solution validators using Python.

• Create reproducible computational pipelines for scientific tasks within Linux-based remote computing environments.

• Develop, test, and enhance graduate-level computational problems rooted in actual research practices.

• Generate authoritative reference solutions and computational outputs.

• Define and validate criteria regarding correctness, completeness, and scientific validity.

• Refine evaluation criteria based on test results and feedback from reviewers.

⛳️ Requirements

• Advanced degree in pharmacokinetics, pharmacology, systems biology, computational biology, bioengineering, or a closely related STEM discipline.

• Demonstrated hands-on proficiency with at least one relevant scientific software environment, such as libRoadRunner, Tellurium, or other SBML-based tools.

• Practical experience in compartmental PK/PD modeling, enzyme kinetics, or systems biology simulations.

• Strong programming skills in Python.

• Experience in writing code for authentic research, scientific, or professional workflows.

• Understanding of numerical behavior, software limitations, and edge cases in computational modeling.

• Proficient in working within Linux/terminal environments and remote compute sandboxes.

• Ability to work independently and enhance computational problems based on testing and feedback.

• All work must be conducted without using confidential or proprietary information from any employer, client, institution, or third party.

• H1-B and STEM OPT support is not available for this position.

🏝️ Benefits

• Flexible scheduling tailored to project requirements.

• Fully remote work environment.

• Part-time independent contractor arrangement.

• Approximately 15–20 hours of work per week.

• Project duration may be adjusted based on project needs and performance.