Allergan
Company Description
AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.
Job Description The AbbVie portfolio consists of several marketed products in eye care, immunology, oncology, virology, and women’s health as well as a pipeline containing multiple promising new molecules being studied in hundreds of clinical trials or advancing from Discovery into Development. AbbVie is a global organization with US research sites in Boston (Cambridge and Worcester, MA), Chicago (North Chicago, IL), and the San Francisco Bay Area (South San Francisco, CA). The biotherapeutics portfolio is comprised of diverse and tailored modalities including mono‑ and bis‑specific antibodies, antibody‑drug conjugates, antibody fragments, gene therapies and cell‑based therapies.
The Quantitative, Translational and ADME Sciences (QTAS) group is searching for a Senior Scientist to provide mechanistic and translational modeling and project support in all disease areas, informing decision‑making for primarily large, but also small molecule projects from discovery through the early stages of clinical development. The candidate will establish innovative translational modeling approaches, such as mechanistic PK/PD or systems modeling, across disease and therapeutic areas, as well as provide QTAS project support enabling translation of assets from Discovery into early Development. The position requires close collaboration with Discovery and Development project teams, clinical pharmacology, and other stakeholders, to develop and execute QTAS and PK/PD strategies necessary to facilitate the advancement of our pipeline.
Key Responsibilities
Develop and implement innovative, quantitative analyses and strategies for translational modeling across Discovery and Development projects
Liaise with Discovery biology, pharmacology, toxicology, biomarker, QTAS and clinical scientists to generate data and knowledge supporting the generation and implementation of translational models
Establish and maintain effective collaborations with key peer and team stakeholders within QTAS, Discovery and Clinical to facilitate knowledge and data integration for target prioritization, biomarker selection, candidate selection, guidance in (pre)clinical study design, human dose prediction and calculation of therapeutic index
Effectively communicate on strategies related to drug metabolism and pharmacokinetics (DMPK) and translational modeling and simulation
Maintain awareness of emerging literature and science in computational approaches and applications
Qualifications
Bachelors, Masters, or Doctorate in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with at 10+ years of experience and Bachelors Degree, OR 8+ years of experience and Masters Degree, or Ph.D.
Hands‑on experience with relevant modeling software and programming languages including MATLAB/SimBiology, R, Python, WinNonLin/Phoenix, etc. is required
Understanding of small or large molecule drug modalities and relevant analytical methods for measuring drug and biomarker levels in preclinical and clinical study samples is highly desired
Passion for data analysis, solving technical problems and applying new technologies to further scientific goals and answer key scientific questions enabling informed decision‑making
Publication record demonstrating PK/PD or systems modeling examples is highly desired
Highly‑motivated, self‑driven and results‑oriented person with excellent communication and presentation skills, capable of both leading and being lead
High degree of flexibility in adapting to different projects and personalities as well as excellent networking and relationship‑building skills (both internal and external) required
Must have strong communication skills and the ability to effectively communicate with both internal and external stakeholders, and to audiences of diverse backgrounds
Prior experience in an experimental in vitro or in vivo biology field is desired
Interest in developing skills to support projects as a QTAS project representative in future is highly desired
Preferred Qualifications
Doctorate (Ph.D.) in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with 1-3 years of pharmaceutical industry experience
Key Leadership Competencies
Builds strong relationships with peers and cross‑functionally with partners outside of team to enable higher performance
Learns fast and can change course quickly when necessary
Raises the bar and is never satisfied with the status quo
Creates a learning environment, open to suggestions and experimentation for improvement
Embraces the ideas of others, nurtures innovation and manages innovation to reality
Additional Information
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short‑term incentive programs.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer, Veterans, Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html
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Job Description The AbbVie portfolio consists of several marketed products in eye care, immunology, oncology, virology, and women’s health as well as a pipeline containing multiple promising new molecules being studied in hundreds of clinical trials or advancing from Discovery into Development. AbbVie is a global organization with US research sites in Boston (Cambridge and Worcester, MA), Chicago (North Chicago, IL), and the San Francisco Bay Area (South San Francisco, CA). The biotherapeutics portfolio is comprised of diverse and tailored modalities including mono‑ and bis‑specific antibodies, antibody‑drug conjugates, antibody fragments, gene therapies and cell‑based therapies.
The Quantitative, Translational and ADME Sciences (QTAS) group is searching for a Senior Scientist to provide mechanistic and translational modeling and project support in all disease areas, informing decision‑making for primarily large, but also small molecule projects from discovery through the early stages of clinical development. The candidate will establish innovative translational modeling approaches, such as mechanistic PK/PD or systems modeling, across disease and therapeutic areas, as well as provide QTAS project support enabling translation of assets from Discovery into early Development. The position requires close collaboration with Discovery and Development project teams, clinical pharmacology, and other stakeholders, to develop and execute QTAS and PK/PD strategies necessary to facilitate the advancement of our pipeline.
Key Responsibilities
Develop and implement innovative, quantitative analyses and strategies for translational modeling across Discovery and Development projects
Liaise with Discovery biology, pharmacology, toxicology, biomarker, QTAS and clinical scientists to generate data and knowledge supporting the generation and implementation of translational models
Establish and maintain effective collaborations with key peer and team stakeholders within QTAS, Discovery and Clinical to facilitate knowledge and data integration for target prioritization, biomarker selection, candidate selection, guidance in (pre)clinical study design, human dose prediction and calculation of therapeutic index
Effectively communicate on strategies related to drug metabolism and pharmacokinetics (DMPK) and translational modeling and simulation
Maintain awareness of emerging literature and science in computational approaches and applications
Qualifications
Bachelors, Masters, or Doctorate in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with at 10+ years of experience and Bachelors Degree, OR 8+ years of experience and Masters Degree, or Ph.D.
Hands‑on experience with relevant modeling software and programming languages including MATLAB/SimBiology, R, Python, WinNonLin/Phoenix, etc. is required
Understanding of small or large molecule drug modalities and relevant analytical methods for measuring drug and biomarker levels in preclinical and clinical study samples is highly desired
Passion for data analysis, solving technical problems and applying new technologies to further scientific goals and answer key scientific questions enabling informed decision‑making
Publication record demonstrating PK/PD or systems modeling examples is highly desired
Highly‑motivated, self‑driven and results‑oriented person with excellent communication and presentation skills, capable of both leading and being lead
High degree of flexibility in adapting to different projects and personalities as well as excellent networking and relationship‑building skills (both internal and external) required
Must have strong communication skills and the ability to effectively communicate with both internal and external stakeholders, and to audiences of diverse backgrounds
Prior experience in an experimental in vitro or in vivo biology field is desired
Interest in developing skills to support projects as a QTAS project representative in future is highly desired
Preferred Qualifications
Doctorate (Ph.D.) in chemical, mechanical, or biomedical engineering; applied mathematics; quantitative pharmaceutical sciences or a related field, with 1-3 years of pharmaceutical industry experience
Key Leadership Competencies
Builds strong relationships with peers and cross‑functionally with partners outside of team to enable higher performance
Learns fast and can change course quickly when necessary
Raises the bar and is never satisfied with the status quo
Creates a learning environment, open to suggestions and experimentation for improvement
Embraces the ideas of others, nurtures innovation and manages innovation to reality
Additional Information
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short‑term incentive programs.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer, Veterans, Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html
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