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Novartis Group Companies

Senior Principal Scientist/Associate Director, Radioligand Modeling & Simulation

Novartis Group Companies, Cambridge, Massachusetts, us, 02140


Job Description Summary

Location: This position will be located in Cambridge, MA and will not have the ability to be located remotely.

About the role:

We are seeking an experienced translational or clinical modeler eager to accelerate radioligand discovery & development by enabling rigorous decision making with modeling & simulation. You will work in a multi-disciplinary environment, with opportunities to engage in and/or lead cross-functional initiatives.

This role reports to a PK Sciences Translational Modeling team lead, in a group situated within Biomedical Research, the research engine of Novartis.

Job Description

Key responsibilities:

Act as the Translational M&S representative on radioligand therapy programs, developing and executing modeling strategies, contributing to project team discussions, and guiding therapeutic design and dose selection decisions.

Build and apply innovative QSP and physiologically based PK (PBPK) models along with dosimetry estimations to link RLT pharmacology, tissue biodistribution, mechanism(s) of action, and biological and clinical outcomes.

Advance the development of an integrated RLT modeling platform that bridges data and knowledge across preclinical species and patients, partnering with discovery project teams as well as the preclinical safety and pharmacometrics groups.

Advance the translational science for radiopharmaceuticals, setting new standards in how to guide RLT discovery and clinical development.

Proactively seek opportunities to increase the impact and awareness of translational and clinical modeling through communications with internal and external audiences.

Contribute to group strategy and serve as an M&S subject area expert across PK Sciences and Biomedical Research initiatives.

Minimum Requirements:

Ph.D. in biology, pharmaceutical sciences, bioengineering, biophysics, or a related field with 6+ years of experience (experience in industry preferred) as well as demonstrated mastery of radiobiology / nuclear medicine.

Extensive experience, preferably in industry, in pharmacokinetics and pharmacodynamics (PK/PD), quantitative systems pharmacology (QSP), and/or physiologically based PK (PBPK) modeling is required.

Expert level proficiency in core modeling fundamentals is required, including scripting languages (e.g., MATLAB, R), construction of ordinary differential equation (ODE) models, parameter estimation, and data visualization. Proficiency in dosimetry is a plus.

Demonstrated ability to communicate modeling results to a multidisciplinary audience to facilitate decision-making.

Demonstrated ability to independently develop and implement modeling strategy across a disease area and/or modality platform.

Demonstrated scientific leadership in Modeling & Simulation and ability to effectively partner with and influence the broader drug discovery and development organization to be considered at the Associate Director level.

Fluent in English (oral and written).

This is a dual level posting. The final level and title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Salary Range:

$166,400.00 - $249,600.00

Skills Desired:

Algorithms, Clinical Trials, Cross-Functional Teams, Data Engineering, Decision Making Skills, Innovation, Mentorship, Modeling And Simulation, Project Management, Simulation Software.

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