PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or related field.
For PhD holders: Minimum 2 years of hands-on experience in generating disease or QSP models; academic research and post-doc experience considered.
For Master's holders: Minimum 4 years of industry experience in generating disease or QSP models.
Proficiency in mathematical modeling using differential equations.
Experience with computational tools such as MATLAB, Julia, and R.
Responsibilities
Develop and apply multiscale computational models for drug discovery and development.
Survey literature to understand physiological processes and identify relevant mechanistic elements.
Analyze preclinical and clinical data to inform modeling activities.
Evaluate simulation results and strategize to enhance model performance.
Document the model development process and data analysis comprehensively.
Communicate modeling predictions effectively to stakeholders.
Benefits
Participation in employee benefit programs.
Opportunities for on-the-job training and professional development.
Full Job Description
Job Title: Principal Scientist, Quantitative Systems Pharmacology
Location: Cambridge, MA
Main Responsibilities:
Function as part of a team to develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery & development.
Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
Identify and analyze suitable preclinical and clinical data to inform modeling activities.
Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy.
Maintain extensive documentation of model development process, and data analysis.
Maintain quantitative systems pharmacology expertise through comprehensive education
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Communicate modeling predictions to key stakeholders.
About you: Basic Qualifications
PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field.
For candidates with PhD degrees: Minimum 2 years of hands-on experience generating disease models, mechanistic/multiscale models or QSP models. Academic research experience, internships and post-doctoral fellows will be considered.
For candidates with Master degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting.
Preferred Qualification:
Proficiency in mathematical modeling using differential equations.
Machine learning experience.
Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).
Excellent oral and written communication skills.
Ability to quickly learn pathophysiology in indications of interest.
Highly motivated, detail-oriented, and independent researcher.
Able to thrive in a collaborative, multi-disciplinary team environment.
Strong commitment to on-the-job-training.
Knowledge of Immuno-oncology or Neuroscience.
Record of increasing responsibility and independence, developing and applying QSP approaches.
Experience in drug discovery/development a plus, especially in pharmacometrics.
The salary range for this position is: $122.250,00 - $176.583,33
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
About Sanofi
Sanofi is a global pharmaceutical company that specializes in the research, development, and manufacturing of prescription drugs and vaccines. The company operates in over 170 countries and has a diverse portfolio of products that includes treatments for diabetes, cancer, cardiovascular disease, and rare diseases. Sanofi is committed to improving global health and has a strong focus on innovation and sustainability. The company has received numerous awards for its research and development efforts and is recognized as a leader in the pharmaceutical industry.
