Job Board

November 12, 2019

Senior Scientist-Modeling and Simulation  (Thousand Oaks, CA, US)

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The Amgen Clinical Pharmacology Modeling and Simulation (CPMS) team is seeking a Senior Scientist who will be based at our Thousand Oaks, CA corporate offices.  As part of the Clinical Pharmacology, Modeling and Simulation Department, the Modeling and Simulation Senior Scientist will support Amgen clinical development and translational sciences programs across multiple therapeutic areas with an emphasis on oncology.

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Key responsibilities of the Senior Scientist include:

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• Building pharmacostatistical models to support Population Pharmacokinetics/Pharmacodynamic (PKPD) and exposure-response analyses using relevant state of the art modeling and simulation techniques.

• Training in binary and categorical and binary data analyses, time-to-event (hazard) models, Poisson models, MCMC and Bayesian methods as applied to exposure-response analyses and Population PK and PKPD analysis.

• Performing meta-analysis using proprietary and/or literature data.

• Participating in cross-functional project teams and providing scientific input for dose selection, early and late study designs using modeling and simulation inputs.

• Contributing to clinical pharmacology strategy for the programs and implementing project plans.

• Generating modeling reports and contribute to the summary documents for regulatory submissions.

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November 12, 2019

Principal Scientist-Clinical Pharmacology, Modeling & Simulation  (Thousand Oaks, CA, US)

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In our mission to serve patients, speed is absolutely critical. We’re rapidly expanding our hiring initiatives and are excited to unite with the most passionate and brilliant scientific minds who want to join our team – working toward our mission of advancing high potential programs for cancer patients around the world.

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Amgen Clinical Pharmacology Modeling and Simulation (CPMS) is seeking a Principal Scientist for our Thousand Oaks, CA location.  As part of the Clinical Pharmacology, Modeling and Simulation Department, the Modeling and Simulation Principal Scientist will support Amgen clinical development and translational sciences programs across multiple therapeutic areas.

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Key responsibilities of the Principal Scientist include:

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• Building pharmacostatistical models to support Population Pharmacokinetics/Pharmacodynamic (PKPD) and exposure-response analyses using relevant state of the art modeling and simulation techniques.

• Conducting binary and categorical and binary data analyses, time-to-event (hazard) models, Poisson models, MCMC and Bayesian methods as applied to exposure-response analyses and Population PK and PKPD analysis.

• Performing meta-analysis using proprietary and/or literature data.

• Participating in cross-functional project teams and providing scientific input for dose selection, early and late study designs using modeling and simulation inputs.

• Contributing to clinical pharmacology strategy for the program(s) and implementing project plans.

• Generating modeling reports and contributing to the summary documents for regulatory submissions.

November 12, 2019

Director-Modeling & Simulation  (Thousand Oaks, CA, US)

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Amgen is a values-based organization with a powerful sense of shared purpose toward our mission: to serve patients. We encourage our team members to have fulfilling and meaningful careers through challenging assignments and career development.

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As part of this commitment, Amgen’s Clinical Pharmacology, Modeling and Simulation Department is seeking a Director, Modeling and Simulation to be based at our Thousand Oaks campus. The Director will be responsible for the development and implementation of the modeling and simulation strategies and execution of tasks for clinical development candidates across multiple novel modalities including T-cell engagers, cellular and nucleic acid-based therapies in addition to monoclonal antibodies and small molecules. 

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Key responsibilities of the Director include:

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• Conducting PK/PD and exposure-response analyses of data from early to late phase clinical studies using pharmacostatistical and relevant state of the art modeling and simulation techniques

• Performing meta-analysis using proprietary and/or literature data

• Participating in cross-functional project teams and providing scientific input for dose selection for early and late-stage clinical study designs using quantitative methods

• Contributing to clinical pharmacology plans by establishing and implementing high impact modeling and simulation strategy for clinical development candidates

• Authoring PK/PD reports and contributing to summary documents for regulatory submissions.

October 18, 2019

Clinical Project Lead (New Haven, CT)

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HealthMode is seeking a motivated candidate who will be the HealthMode project leader for a portfolio of studies onsite with one of HealthMode partner companies. You will be responsible for attending all project meetings and leading all study activities for a suite of clinical trials across multiple indications in a fast-moving development program. 

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HealthMode is an innovative company committed to improving clinical trials by better measuring health. The company develops projects that collect patient data from real-world settings and transform them into quantifiable clinical measures providing evidence for clinical trials and patient care. 

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Main responsibilities:

• Independently managing multiple studies within agreed-upon budget, timelines, and in accordance with internal SOP’s and GCP/ICH guidelines

• Establishing study timelines and milestones; tracking and reporting study metrics

• Overseeing investigator selection, recruitment, and support through the trial

• Developing and maintaining study budget tracking tools to ensure that trial costs are

  accurately tracked and reported

• Ensuring study staff is appropriately trained on relevant guidelines, regulations and

  SOPs.

• Participating in program strategy meetings, and ad hoc clinical operations initiatives and

  programs.

• Contributing to preparation and review of clinical documentation such as Investigator

  Brochures, clinical protocols, informed consents, updates to regulatory authorities, and

  trial status updates.

• Ensuring Trial Master File is accurate and up to date.

• Tracking study progress to ensure timely data collection, monitoring, and data quality

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Please address to simi@healthmode.co 

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October 01, 2019

Pharmacometrician, Director (Cambridge, MA)

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Job Summary

• Develops, implements, and leads model informed drug development (MIDD) through quantitative analyses and strategic plans across projects and disease areas.

• Develops model informed drug development (MIDD) plans across projects and disease areas in order to optimize prospective studies, inform drug development strategy and project decision-making, in collaboration with partners.

• Conducts and reports quantitative analyses which integrate knowledge of pharmacokinetics, pharmacodynamics, patient characteristics, and disease states to optimize doses, dosage regimens and study designs throughout clinical drug development.

• Identifies opportunities where modeling and simulation can advance the understanding of pharmacological activity, efficacy and safety. • May help in providing support and/or development of quantitative methodology, pharmacometrics tools, software, hardware, and related business processes.

October 01, 2019

Pharmacometrician, Associate Director (Groton, CT)

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Job Summary

• Develops and implements model informed drug development (MIDD) plans across projects and disease areas in order to optimize prospective studies, inform drug development strategy and project decision-making, in collaboration with partners.

• Conducts and reports quantitative analyses which integrate knowledge of pharmacokinetics, pharmacodynamics, patient characteristics, and disease states to optimize doses, dosage regimens and study designs throughout clinical drug development.

• Identifies opportunities where modeling and simulation can advance the understanding of pharmacological activity, efficacy and safety.

• May help in providing support and/or development of quantitative methodology, pharmacometrics tools, software, hardware, and related business processes.

October 01, 2019

Pharmacometrician, Manager (Groton, CT)

Job Summary

• Develops, implements, and leads model informed drug development (MIDD) through quantitative analyses and strategic plans across projects and disease areas.

• Develops model informed drug development (MIDD) plans across projects and disease areas in order to optimize prospective studies, inform drug development strategy and project decision-making, in collaboration with partners.

• Conducts and reports quantitative analyses which integrate knowledge of pharmacokinetics, pharmacodynamics, patient characteristics, and disease states to optimize doses, dosage regimens and study designs throughout clinical drug development.

• Identifies opportunities where modeling and simulation can advance the understanding of pharmacological activity, efficacy and safety.

• May help in providing support and/or development of quantitative methodology, pharmacometrics tools, software, hardware, and related business processes.

July 30, 2019

Senior Principal Scientist, Pharmacokinetic, Dynamics and Metabolism (4744427)

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The position is responsible for the pharmacokinetic, dynamics and metabolism (PDM) oversight of a number of projects within Research Units and providing drug metabolism, analytical, pharmacokinetic, immunogenicity and pharmacodynamics focused leadership and strategic direction to assigned projects from early discovery through loss of exclusivity. Basic qualifications include BS or MS or Ph.D. with 8+ years of work experience (of which at least 4 years in pharmaceutical industry) in DMPK, Pharmacokinetics, PK/PD, or relevant field. Preferred qualifications include experience in the preparation of regulatory applications (IND, NDA, BLA) and good knowledge of regulatory guidelines. 

July 13, 2019

Senior/Principal Scientist, Biology

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Applied BioMath is currently seeking a talented and innovative Senior/Principal Scientist, Biology to join our team either in Concord, MA, (the Boston/Cambridge area) or Oakland, CA (the San Francisco Bay area). The ideal candidate will work closely with Pharma and Biotech teams to provide biological expertise for the development of mathematical models that help drive decisions in drug development. Models include pathways (intra- and cell-cell signaling), disease (description and mechanistic), quantitative systems pharmacology, mechanistic PKPD, and traditional PKPD preclinical and clinical modeling of small and large molecules and novel therapeutics.

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July 13, 2019

Principal Scientist, Mathematical Modeler/Project Lead

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Applied BioMath is currently seeking a talented and innovative Principal Scientist, Mathematical modeler/Project lead to join our team in Concord, MA, (the Boston/Cambridge area) or Oakland, CA (the Bay Area). The ideal candidate will work closely with Pharmaceutical and Biotech teams to build fit-for-purpose mathematical models that help drive decisions in drug development. Models may describe drug’s mechanism of action, signaling pathways (intra- and cell-cell signaling), disease mechanisms (description and mechanistic), and drug toxicities. Modeling approaches include quantitative systems pharmacology (QSP), mechanistic pharmacokinetic/pharmacodynamic (PKPD), and traditional PKPD modeling of small and large molecules and novel therapeutics.

July 13, 2019

Senior Scientist, Mathematical Modeler

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Applied BioMath is currently seeking a talented and innovative Senior Scientist, Mathematical Modeler to join our team in Concord, MA (the Boston/Cambridge area) or Oakland, CA (the Bay Area). The ideal candidate will work closely with Pharma and Biotech teams to build fit-for-purpose mechanistic pharmacokinetic/pharmacodynamic (PKPD) and Quantitative systems pharmacology (QSP) models that help drive decisions in drug discovery and development. Models may describe pharmacokinetics, pharmacodynamics, signaling pathways (intra- and cell-cell signaling), disease mechanisms (description and mechanistic), and drug toxicities.

July 17, 2019

Associate Research Fellow, PKPD/QSP Modeling and Simulation

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This modeling and simulation leader will work within the Biomedicines Design preclinical translational modeling and simulation team.  The successful candidate will be accountable for all preclinical modeling and simulation activities in support of Pfizer’s large molecule oncology portfolio and may supervise a small group of more junior modelers.  As a member of multidisciplinary project teams, the successful candidate will develop and implement quantitative mechanism-based PKPD and QSP models which impact the quality of decisions regarding target selection, target prioritization, therapeutic modality selection, protein optimisation, biomarker characterization and early clinical trial design.   In addition, at a broader level, the successful candidate will be responsible for driving and advancing the translational modeling strategy for large molecules across the oncology research unit and would be involved in a number of enterprise level initiatives with other groups e.g. Clinical Pharmacology. 

July 13, 2019

Senior Principal Scientist, Pharmacokinetics/Modeling and Simulation, DMPK Department

Full-Time, Waltham, MA

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Sanofi is seeking a Sr. Principal Scientist to join the Pharmacokinetics and Modeling and Simulation in the Drug Metabolism and Pharmacokinetics (DMPK) research platform of the North American Hub. As a member of the DMPK department within the Pharmacokinetics function, the individual will develop strategic approaches for providing quantitative and model-based approaches to inform on lead candidate design and selection, translational preclinical PK/PD, and human dose & regimen predictions across a broad range of modalities encompassing both biotherapeutics and small molecules.  The successful incumbent will support primarily ImmunOncology, Rare Disease, and Neuroscience programs. The individual will also have the opportunity to represent DMPK globally on research projects to ensure effective integration of PK and PKPD into the team strategy. In this role he/she will contribute to the project team strategy at the early discovery phase up to first in human trials. In this role the individual will also be involved in preparation of IND/IMPD/CTX and other summary documents for regulatory submission.  The individual will also lead global initiatives within the global DMPK organization regarding Modeling and Simulation initiatives as well as training/managing more junior modelers.

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June 11, 2019

Postdoc Fellow, Quantitative Systems Pharmacology

Full-Time, Cambridge, MA

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Quantitative Systems Pharmacology (QSP) is a discipline that uses mechanistic mathematical models and disease platforms to enhance the robustness and quality of decision-making from exploratory research through clinical development. We are seeking a highly motivated Postdoctoral Fellow to develop and apply QSP models for the in silicoevaluation of novel targets and compounds, which may include application to preclinical and clinical study design and mechanistic interpretation of study results. To this end, the Postdoctoral Fellow will work collaboratively in a highly stimulating and multi-disciplinary environment with biologists, clinicians, precision medicine scientists, clinical pharmacologists, pharmacometricians, and QSP and nonclinical modelers. In addition to building computational models, the individual also will have an opportunity to influence experimental designs towards data generation. The successful candidate will have earned a Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or other related discipline and has a demonstrated track record in scientific publication.

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June 11, 2019

Sr. Principal Quantitative Systems Pharmacologist

Full-Time, La Jolla, CA

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Quantitative Systems Pharmacology (QSP) is a discipline that uses mechanistic mathematical models and disease platforms to enhance the robustness and quality of decision-making from exploratory research through clinical development. We are seeking a highly motivated individual to lead the development and application of QSP models for the in silico evaluation of oncology and immune-oncology targets and compounds, including preclinical and clinical study design and mechanistic interpretation of results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of disease mechanisms.

June 11, 2019

Principal Quantitative Systems Pharmacologist

Full-Time, Cambridge, MA

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Quantitative Systems Pharmacology (QSP) is a discipline that uses mechanistic mathematical models and disease platforms to enhance the robustness and quality of decision-making from exploratory research through clinical development. We are seeking a highly motivated individual to lead the development and application of QSP models for the in silicoevaluation of novel targets and compounds, including preclinical and clinical study design and mechanistic interpretation of results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas.

March 21, 2019

Quantitative Systems Pharmacologists, NIBRI

Full-time, Cambridge, MA

Join our Quantitative Systems Pharmacology Team. The Modeling & Simulation function at NIBR was newly formed in 2018 and is embedded within PK Sciences and Translational Medicine. Our main objective is to enable quantitative and rigorous decision making from target identification to first-in-human studies. The responsibilities will include but are not limited to: identification of high-impact research questions, development and applications of a range of innovative modeling and simulation, participation in defining PKS strategy, publication as a contributor to enhancing Novartis and PK  Sciences visibility. 

January 09, 2019

Manager Clinical Pharmacology

Full-time, Cambridge, MA

We have an open position as Clinical Pharmacology Lead in Early Clinical Development in Cambridge, MA. The ideal candidate embraces model-based drug development - constructs, validates, and utilizes disease, placebo, exposure-response, and mechanistic PKPD models to evaluate risk/benefit and facilitate drug development decisions, in close collaboration with other R&D partners. Clinical Pharmacology Leads are also responsible for planning and direction of clinical pharmacology components of clinical programs (including clinical development plan/life cycle plan) and studies (including protocol preparation; clinical phase oversight, and reporting).

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January 09, 2019

Associate Director, Clinical Pharmacology

Full-time, Cambridge, MA

We have an open position as Clinical Pharmacology Lead supporting our Research Unit in Cambridge, MA. The ideal candidate embraces model-based drug development - constructs, validates, and utilizes disease, placebo, exposure-response, and mechanistic PKPD models to evaluate risk/benefit and facilitate drug development decisions, in close collaboration with other R&D partners.

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January 09, 2019

Director Clinical Pharmacology and Pharmacometrics

Full-time, Cambridge, MA

Our Clinical Pharmacology Leads have key roles to play in influencing the discovery and development of drugs. It is exciting, critical work and you could be part of it. Pfizer is a leader in model-based drug development, and we are expanding its influence in target validation and selection. We have an open position as Clinical Pharmacology Lead supporting our Research Unit in Cambridge, MA. The ideal candidate embraces model-based drug development - constructs, validates, and utilizes disease, placebo, exposure-response, and mechanistic PKPD models to evaluate risk/benefit and facilitate drug development decisions, in close collaboration with other R&D partners.

January 09, 2019

Postdoc Fellow, Quantitative Systems Pharmacology

Full-time, Cambridge, MA

We are seeking a highly motivated Postdoctoral Fellow to develop and apply QSP models for the in silico evaluation of novel targets and compounds, which may include application to preclinical and clinical study design and mechanistic interpretation of study results. To this end, the Postdoctoral Fellow will work collaboratively in a highly stimulating and multi-disciplinary environment with biologists, clinicians, precision medicine scientists, clinical pharmacologists, pharmacometricians, and QSP and nonclinical modelers.

January 09, 2019

Senior Quantitative Systems Pharmacologist

Full-time, Cambridge, MA

We are seeking a highly motivated individual to develop and apply QSP models for the in silico evaluation of novel targets and compounds, including application to preclinical and clinical study designs and mechanistic interpretation of study results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas.

January 09, 2019

Principal Quantitative Systems Pharmacologist

Full-time, Cambridge, MA

We are seeking a highly motivated individual to lead the development and application of QSP models for the in silico evaluation of novel targets and compounds, including preclinical and clinical study design and mechanistic interpretation of results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas.

January 09, 2019

Senior Principal Quantitative Systems Pharmacologist

Full-time, Cambridge, MA

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We are seeking a highly motivated individual to lead the development and application of QSP models for the in silico evaluation of novel targets and compounds, including preclinical and clinical study designs and mechanistic interpretation of results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas.

October 23, 2018

Innovative Academic-style Postdoc at AstraZeneca

Full-time, Gaithersburg, Maryland

The long title is Machine Learning Applied to AstraZeneca's Cardiovascular Outcome Trials to Predict Cardiovascular & Renal Outcomes. We are currently looking for talented scientists to join our innovative academic-style Postdoc. You will take part in a comprehensive training program, including a focus on drug discovery and development, given access to the existing postdoctoral research, and inspired to pursue your own independent research in the state of the art labs.

For more details in Job Description (role responsibilities) and Application, please visit the website below (click "Click Here").

October 19, 2018

Senior Quantitative Systems Pharmacologist

Full-time, Cambridge, MA

We are seeking a highly motivated individual to develop and apply QSP models for the in silico evaluation of novel targets and compounds, including application to preclinical and clinical study designs and mechanistic interpretation of study results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas. 

Basic Requirements:

• Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods. 

• 0~5 years of experience in developing differential equation based models of biological and/or physiological systems

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For more details in Job Description (role responsibilities) and Application, please visit the website below (click "Click Here").

October 19, 2018

Senior Quantitative Systems Pharmacologist 

Full-time, Cambridge, MA

We are seeking a highly motivated individual to develop and apply QSP models for the in silico evaluation of novel targets and compounds, including application to preclinical and clinical study designs and mechanistic interpretation of study results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas. 

Basic Requirements:

• Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods. 

• 0~5 years of experience in developing differential equation based models of biological and/or physiological systems

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For more details in Job Description (role responsibilities) and Application, please visit the website below (click "Click Here").

October 19, 2018

Principal Quantitative Systems Pharmacologist 

Full-time, Cambridge, MA

We are seeking a highly motivated individual to develop and apply QSP models for the in silico evaluation of novel targets and compounds, including application to preclinical and clinical study designs and mechanistic interpretation of study results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas. 

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Basic Requirements:

• Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods. 

• 5~10 years of experience in developing QSP and/or differential equation based models of biological or physiological systems.

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For more details in Job Description (role responsibilities) and Application, please visit the website below (click "Click Here").

October 19, 2018

Senior Principal Quantitative Systems Pharmacologist

Full-time, Cambridge, MA

We are seeking a highly motivated individual to develop and apply QSP models for the in silico evaluation of novel targets and compounds, including application to preclinical and clinical study designs and mechanistic interpretation of study results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms across different therapeutic areas. 

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Basic Requirements:

• Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods. 

• 5~10 years of experience in developing QSP and/or differential equation based models of biological or physiological systems.

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For more details in Job Description (role responsibilities, etc.) and Application, please visit the website below (click "Click Here").

July 21, 2018

Associate Director Pharmacometrics 

Global Drug Development Division, NIBRI

Full-time, East Hanover, NJ

The Associate Director, Pharmacometrics drives the pharmacometric strategy for (early/full) clinical programs in multiple indications or a disease area. He or she performs or supervises the execution of the pharmacometrics strategy in those programs. The role manages portfolio at the disease area or indication level. The role also sets the strategy for addressing pharmacometric issues in regulatory submissions and directly influences drug development decisions with internal and external partners.

The role may serve as:
-Individual contributor with strong knowledge of drug development pharmacometrics across related indications/areas.
-Manager of up to 3 PMX scientists in a disease area or indication.

The major activities involve levels of project, disease/threapeutic area, unit development/function, enterprise and people management. 

Minimum Requirements:

• Ph.D. in pharmacology, biology, engineering, mathematics, statistics, or a field with significant modeling-related content.

• 6+ years relevant work experience, 4+ years in applying model-based methods in pre-clinical and clinical drug development.

• Track record of contributions to external white-papers/policy shaping, best practice in pharmacometrics.

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For more details in Job Description and Application, please visit the website below (click "Click Here").

July 12, 2018

Bill & Melinda Gates Medical Research Institute

Cambridge, MA

Reporting to the Head of QSP and DMPK, the QSP postdoctoral fellow (QSPF) will support the development of computational approaches to address high priority project development efforts at the Institute, in the areas of TB, malaria and diarrheal diseases. The QSPF will collaborate with academic and CRO partners to facilitate the development of fit for purpose computational models. The candidate will develop a diverse set of approaches to tackling discovery and development questions as part of the translation medicine pipeline, including QSP, DMPK, systems biology, as well as informatics and data science approaches. The candidate will contribute to novel technology initiatives geared towards enabling a robust simulation platform, based on well-calibrated models, constrained by diverse data streams, and advanced approaches in developing virtual patient populations commensurate to simulating clinical scenarios of interest. The candidate will ensure alignment of Gates MRI values and innovate culture with our talent strategy and programs.

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Main Responsibilities:

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• Build and utilize a spectrum of computational approaches such as QSP, PKPD, informatics and data science and analytics to address translational medicine needs for priority products in the pipeline.

• Developing innovative approaches to leveraging diverse data for constraining model behavior to relevant disease biology.

• Collaborate with internal and external researchers across multiple therapeutic areas to provide modeling, data science, visualization, data analytics expertise.

• Conducts advanced data analysis and utilize/develop appropriate algorithms to discover data patterns and associations.

• Strong attention to detail

• Demonstrated ability of leveraging self-initiative to get results

• Demonstrated passion for the Gates MRI’s values with a commitment to deliver results against our mission.

Email Karim.azer@gatesmri.org if interested.

April 01, 2018

Senior Scientist, Translational Modeling and Simulation

Full-time, Cambridge, MA

Experience level: 0-3 years

The successful applicant will be a part of a translational modeling and simulation team within Pfizer’s Medicine Design organization which applies state-of-the-art modeling and simulation methodologies to preclinical programs to enable key drug discovery decisions from early discovery stages through early clinical studies. As a member of Cambridge (US)-based multidisciplinary project teams, the candidate will develop and implement quantitative mechanism-based PK-PD models which impact decisions regarding therapeutic modality selection, biomarker characterization, chemical optimization, translational strategies and early clinical trial design. Work will focus on small molecule approaches within cardiovascular, metabolic, inflammatory and rare disease areas.

Hiring Manager: Tristan Maurer (tristan.s.maurer@pfizer.com)​

April 01, 2018

Senior Principal Scientist, Translational Modeling and Simulation 

Full-time, Cambridge, MA

Experience level: 5+ years

The successful applicant will be a part of an exceptional translational modeling and simulation team within Pharmacokinetics, Dynamics and Metabolism (PDM) of Medicine Design which applies state-of-the-art modeling and simulation methodologies to preclinical programs to enable key drug discovery decisions from early discovery stages to first-in-human studies. As a member of global multidisciplinary project teams, the candidate will develop and implement quantitative mechanism-based PK-PD models which impact decisions regarding therapeutic modality selection, biomarker characterization, chemical optimization, translational strategies and early clinical trial design.  Work will focus on small molecule approaches within the oncology area.

Hiring Manager: Mary Spilker (mary.spilker@pfizer.com)

April 01, 2018

Research Fellow, Translational Modeling and Simulation

Full-time, Cambridge, MA

Experience level: 10+ years

The successful applicant will lead the East-Coast Translational Modeling and Simulation Group within Pfizer’s Medicine Design Organization.  The group has a highly visible and sustained track record of delivering translational modeling and simulation to preclinical programs to enable key decisions from early discovery stages through early-stage clinical trials. The role requires delivery as an individual contributor and through supervision of direct reports.  Key impact areas include decisions regarding target prioritization, therapeutic modality selection, drug design, biomarker characterization, chemical optimization, translational strategies and early clinical trial design.  The successful applicant will join the Preclinical Translational Modeling and Simulation Leadership Team which is responsible for the development and implementation of preclinical strategies across all therapeutic areas, as well as platform approaches in systems pharmacokinetics, systems toxicology and cheminformatics.

Hiring Manager: Tristan Maurer (tristan.s.maurer@pfizer.com)

March 17, 2018

Investigators, Systems Pharmacology, PK Sciences 

Full-time, Cambridge, Basel, or NJ

The Novartis Institutes for BioMedical Research (NIBR) is the innovation engine of Novartis, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. The Modeling & Simulation group within PK Sciences has multiple needs for Investigators that enable quantitative and rigorous decision making from target identification to first-in-human studies. The ideal candidate is always looking for innovative ways modeling and simulation can be applied to drug discovery, is extremely collaborative, a great communicator and self-motivated.

The main accountabilities include identifying high-impact research questions, developing modeling and simulation approaches in drug discoveries, analyzing PK/PKD data, collaborating with machine learning, bioinformatics, and pharmacometrics team, publishing or presenting as a contributor to enhance Novartis and PK Sciences visibility. 

Minimum requirements Education:

Ph.D. in BioEngineering, Pharmaceutical Sciences, Mathematics, Physics or closely related field.
Languages: Fluent English (oral and written).
Experience: 5+ years in the pharmaceutical industry.
 

March 10, 2018

Manager Clinical Pharmacology (4691010)

Full-time, Cambridge, MA

Pfizer Clinical Pharmacology has an open position as Clinical Pharmacology Lead in Early Clinical Development. The ideal candidate embraces model-based drug development - constructs, validates, and utilizes disease, placebo, exposure-response, and mechanistic PKPD models to evaluate risk/benefit and facilitate drug development decisions, in close collaboration with other R&D partners. Clinical Pharmacology Leads are also responsible for planning and direction of clinical pharmacology components of clinical programs (including clinical development plan/life cycle plan) and studies (including protocol preparation; clinical phase oversight, and reporting).

Pfizer is a leader in Model-based Drug Development, and we are expanding its influence in target validation and selection. Pfizer Clinical Pharmacology Leads have key roles to play in influencing the discovery and development of drugs. It is exciting, critical work and you could be part of it. The main responsibilities include PK-PD analysis, collaboration with Clinical Sub Team and Development as Clinical Pharmacology representatives, implementation of model-based development, participation in clinical pharmacology components of Clinical Plans. 

Qualifications:

• PhD in Clinical Pharmacology, Pharmacokinetics, Pharmacometrics, Engineering or other

suitable post-graduate qualification

• 0-3 years of industry or equivalent experience in clinical pharmacology and/or clinical PK/PD and/or pharmacometrics

Strong quantitative skills and expertise (e.g. experience in mechanistic PKPD modeling/systems

pharmacology, literature meta-analyses, population modeling, and clinical trial simulations)

• Excellent written and verbal communication skills

• Demonstrated presentation skills

March 10, 2018

Director Clinical Pharmacology and Pharmacometrics (4691002)

Full-time, Kendall Square, Cambridge, MA

Pfizer has an open position as Clinical Pharmacology Lead supporting our Research Unit in Cambridge, MA. The ideal candidate embraces model-based drug development - constructs, validates, and utilizes disease, placebo, exposure-response, and mechanistic PKPD models to evaluate risk/benefit and facilitate drug development decisions, in close collaboration with other R&D partners. Clinical Pharmacology Leads are also responsible for planning and direction of clinical pharmacology components of clinical programs (including clinical development plan/life cycle plan) and studies (including protocol preparation; clinical phase oversight, and reporting).

Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. The main responsibilities include implementation of model-based drug development, collaboration with Clinical Sub Team and Development as Clinical Pharmacology representatives, participation in clinical pharmacology components of Clinical Plans, coordination with medical writers in the data review, and directing the planning of all relevant PK-PD analysis. 

Qualifications:

• PhD in Clinical Pharmacology, Pharmacokinetics, Pharmacometrics, Engineering or other suitable post-graduate qualification.
• 5-15 years of industry experience in clinical pharmacology and/or clinical PK/PD and/or pharmacometrics.
• Excellent written and verbal communication skills.
• Demonstrated presentation skills.

March 10, 2018

Scientist - Pharmacokinetics & Drug Metabolism 

Full-time, Cambridge, MA

Amgen is seeking a Scientist to join the Pharmacokinetics & Drug Metabolism (PKDM) Department to boost our modeling and simulation capabilities which enable innovative drug discovery at our Kendall Square site in Cambridge, Massachusetts.

In this role, you will be responsible for performing pharmacokinetic and pharmacodynamic (PK/PD) analyses and integrating them with other aspects of drug discovery including disease biology, chemistry/protein sciences, toxicology, and clinical pharmacology to advance the best therapeutic candidates.  You will also have the opportunity to use modeling and simulation to guide Target Candidate Profiles in support of early-stage drug discovery and thereby contribute to molecule design criteria.  

Basic Qualifications

Doctorate degree or Doctorate Degree completed by June 2018

OR

Master’s degree and 4 years of scientific experience

OR

Bachelor’s degree and 6 years of scientific experience

Preferred Qualifications

Ph.D. in pharmaceutical, chemical, or biological science/engineering or BA/MS with equivalent experience

2+ years of drug discovery and/or development experience

Knowledge/expertise of PK, PD and/or distribution of small molecule and biological therapeutics

Expertise using PK, PK/PD, and PBPK modeling platforms (e.g. MATLAB, WinNonlin, Phoenix)

Critical thinking and creative application of modeling concepts to biological systems

Excellent communication skills, including demonstrated ability to communicate:

• pharmacokinetic and pharmacodynamic concepts to both non-expert and expert team members across broad disciplines to facilitate decision making

• biological and pharmacokinetic information to inform model building and subsequent learnings from the modeling