Postdoctoral Research Fellow, Moderna - Clinical & Quantitative Pharmacology

About the Opportunity

JOB SUMMARY:

We are seeking to hire two Postdoctoral Research Associates through the Northeastern University-Moderna Academic-Industrial Fellowship Program. The Postdoctoral Fellows will support efforts in either Pharmacometrics (PMx) or Quantitative Systems Pharmacology (QSP). Both fellows will be embedded within Moderna's Clinical and Quantitative Pharmacology (CQP) function and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages of clinical development, spanning multiple therapeutic modalities. The Fellows will support project leads at Moderna by evaluating and implementing model-informed drug development (MIDD) strategies, including population PK/PD, exposure-response, and mechanistic systems modeling approaches. They will collaborate closely with cross-functional partners within CQP and across the broader development organization, applying deep domain knowledge and advanced quantitative methods to inform critical development decisions. At Northeastern University, the Fellows will engage in scientific publication, conference presentations, and mentoring of junior trainees within the academic laboratory environment.

Successful candidates will demonstrate the ability to develop and deliver clear, concise, and scientifically rigorous presentations for both internal and external audiences. A record of publication in pharmacometrics and/or QSP is highly desirable. Fellows will have opportunities to author manuscripts, present posters and talks at national and international scientific conferences and participate in other professional development activities throughout the fellowship.

MINIMUM QUALIFICATIONS:

Pharmacometrics (PMx) Candidate

• PhD in pharmacometrics, pharmacokinetics, pharmacology, pharmaceutics, or a closely related field.
• Demonstrated hands-on proficiency with pharmacometrics and modeling tools, including but not limited to: NONMEM, Monolix, R, nlmixr2, Phoenix
• Strong understanding of pharmacometrics principles and application of modeling and simulation (M&S) strategies to support: PK/PD analyses, Exposure-response characterization, Dose selection and optimization
• Evidence of scientific engagement and emerging thought leadership in Quantitative Clinical Pharmacology and Pharmacometrics.

Quantitative Systems Pharmacology (QSP) Candidate

• PhD in applied mathematics, mathematical biology, chemical engineering, biomedical engineering, physics, systems pharmacology, or related quantitative discipline.
• Strong experience in mathematical modeling and simulation, with formal training or demonstrated experience in: Quantitative Systems Pharmacology or differential equation-based mechanistic modeling
• Ability to translate biological hypotheses into mathematical frameworks and to integrate biological, pharmacological, and clinical data.
• Excellent scientific communication skills, with the ability to convey complex modeling concepts to non-modeling audiences.
• Proficiency in at least one modeling and programming environment, such as: MATLAB, R, or Julia

KEY RESPONSIBILITIES & ACCOUNTABILITIES:

• Conduct pharmacometrics and quantitative systems pharmacology analyses.
• Prepare reports and supporting manuscript submissions.
• Mentor and train laboratory personnel.

Position Type

Research

Compensation Grade/Pay Type: 108S

Expected Hiring Range: $60,315.00 - $85,192.50

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.