Remote Clinical Pharmacology and Pharmacometrics Lead
at Sia Partners

Logo of Sia Partners

Sia Partners

๐Ÿ’ต $205k
๐Ÿ“Remote - United States

Summary

Join our team as a Clinical Pharmacology and Pharmacometrics Lead to lead the development of computational approaches for high-priority project development efforts at the Institute. As a contractor, you will work with project teams to implement and communicate model-informed drug development strategies, enabling and accelerating internal decisions.

Requirements

  • PhDย  in engineering, math, computer science, pharmaceutical sciences or a related quantitative field
  • Minimum of 10 years experience working in a quantitative discipline, with demonstrated impact in PK-PD, QSP, PBPK, disease progression, DMPK modeling
  • Advanced/Proficient high performance computing skills
  • Excellent communication and written skills, distilling complex technical ideas clearly and succinctly to a diverse audience
  • Ability to multi-task and manage through competing priorities in a fast-paced environment
  • Strong interpersonal, communication, organizational, administrative and customer service skills
  • Ability to work independently and collaborate within a team environment
  • Strong attention to detail and high sense of urgency
  • Demonstrated ability of leveraging self-initiative to get results
  • Strong analytical, organizational and auditing skills required
  • Demonstrated passion for the Gates MRIโ€™s values with a commitment to deliver results against our mission
  • Expertise in developing and applying PK, PBPB, and PKPD models using software such as Matlab, R, NONMEM, Monolix, SimCYP, PK-SIM, GastroPlus, Phoenix, and R-Stan
  • Experienced in designing, implementing, and maintaining a GXP-validated high-performance pharmacometrics scientific computational environment
  • Experienced in compiling and optimizing diverse data sets from both clinical and non-clinical sources to enhance Model-Informed Drug Development (MIDD) efficiency

Responsibilities

  • Provide strategic leadership in Clinical Pharmacology and Pharmacometrics for both late-stage and early-stage assets, particularly in infectious diseases with focus on Tuberculosis and Malaria
  • Develop advanced models of drug exposure, exposure-biomarker response, and disease progression to facilitate informed drug development decisions
  • Collaborate extensively with internal and external stakeholders across various therapeutic areas, offering expertise in modeling, data science, visualization, and data analytics
  • Act as a Study Director and Clinical PK Scientist for infectious diseases programs
  • Contribute to regulatory documents related to Clinical Pharmacology, draft sections for clinical development plans, and engage in regulatory interactions
  • Assess the feasibility of clinical studies, providing critical input on the design and review of clinical protocols
  • Execute and manage Pharmacometrics and Modeling & Simulation (M&S) plans, interpreting and reporting results to support clinical development milestones
  • Integrate data from various compounds across development programs to inform strategic portfolio decisions
  • Represent the department in cross-functional teams, proactively addressing development opportunities
  • Lead cross-functional teams covering multiple assets, mentor junior Clinical Pharmacology scientists, and promote a culture of scientific excellence and innovation
  • Handle both small molecules and biologics programs effectively
  • Support project milestones in discovery and development phases using mathematical modeling and simulation tools, including PK/PK-PD, drug-drug interaction evaluation, PBPK-based dose/exposure scaling, QSP, and formulation/PK assessment
  • Demonstrate proficiency in Model-Informed Drug Development (MIDD), applying principles to ensure clear and timely communication of modeling results, thereby enhancing decision-making
  • Utilize advanced data analysis techniques and develop algorithms to detect patterns and associations in data, leveraging diverse datasets to inform models relevant to disease biology

Benefits

  • Statutory Time Off โ€“ Sick
  • Medical, Dental, Vision: Eligible for Purchase Option
  • 401(k) Participation: Eligible after one month of employment with matching and 100% vesting first day of participation

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