Postdoctoral Research Fellow, Moderna Clinical & Quantitative Pharmacology

About the Opportunity

JOB SUMMARY:

We are seeking to hire two Postdoctoral Research Associates through the Northeastern UniversityModerna AcademicIndustrial Fellowship Program. The Postdoctoral Fellows will support efforts in either Pharmacometrics (PMx) or Quantitative Systems Pharmacology (QSP). Both fellows will be embedded within Modernas 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 exposureresponse 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 Exposureresponse 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 equationbased 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

Additional Information

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

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.

Compensation Grade/Pay Type:

Expected Hiring Range:

With the pay range(s) shown above the starting salary will depend on several factors which may include your education experience location knowledge and expertise and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.