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Director – Pharmacometrics, Quantitative Pharmacology and Pharmacometrics
The Quantitative Pharmacology and Pharmacometrics (QP2) department drives model-informed drug discovery and development (MIDD) to routinely enable efficient drug discovery/development and/or regulatory decisions. The Pharmacometrics group within QP2 brings an experienced leadership team, deep modeling expertise and state-of-the-art modeling approaches across multiple therapeutic areas and modalities to drive portfolio impact from discovery through life-cycle management. The team is externally visible and continues to be at the leading edge of building innovative state of the art tools. With MIDD as an essential component of decision-making at our company, this position offers an opportunity for the Director to drive pipeline impact and mentor/coach a talented group of pharmacometricians.
The Director-Pharmacometrics will work with scientists within QP2 by proactively evaluating and incorporating advanced pharmacometrics capabilities like comparator modeling, model-based meta-analysis (MBMA) and clinical trial simulations (CTS) into programs and thereby strengthening our pharmacometric capabilities on a continuous basis in decision making and driving pipeline impact.The Director will have the ability to independently develop and deploy comparator models across different therapeutic areas. In addition, the individual will be accountable for coaching/mentoring talented pharmacometricians with diverse backgrounds to drive portfolio impact.
Directors (Pharmacometrics) are expected to provide expertise in one or more of the pharmacometrics capabilities through the following responsibilities.
Responsible for achieving results on major program deliverables by identifying, driving the development and implementation of one or more novel quantitative approaches that seek to improve cycle time, cost/size, number of trials, clinical trial design and Go/No Go decisions
Serve as a subject matter expert and foster collaboration within QP2 and across functions to plan and execute novel analyses such as MBMA for informed decision making on programs
Mentor and/or supervise junior colleagues to perform the above duties and to develop the above capabilities
Leverage significant pharmacometric and subject matter expertise in a broad range of therapeutic areas, modalities and stages of drug discovery/development to independently provide day-to-day coaching/guidance to individual contributors
Required Experience:
(a Ph.D. or equivalent degree with at least 7 years of experience) OR (a PharmD or equivalent degree with at least 9 years of experience) OR (an MS or equivalent degree with at least 11 years of experience), where “experience” means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development or academia
Educational background in pharmacometrics, pharmaceutical sciences, mathematics, statistics/biostatistics, computational biology/chemistry, chemical/biomedical engineering, or a related field
Extensive experience in performing pharmacometrics analyses such as MBMA and CTS using standard pharmacometric software (e.g. NONMEM, R, Monolix, etc.)
Deep expertise in pharmacometrics with ability to understand how MIDD can drive portfolio and regulatory decisions
Deep knowledge of drug development, pharmacokinetics and pharmacology principles required
Preferred Experience:
Experience in performing pharmacometric analyses such as population pharmacokinetics (PopPK), pharmacokinetic/pharmacodynamic models, exposure-response models using NONMEM, R, Monolix, etc.
Proficiency in written and verbal communication, interdisciplinary collaboration, and problem scoping and planning
Strong interpersonal skills that ensure teamwork and productive interactions among diverse personalities/areas of expertise
Excellent communication Skills including ability to effectively present complex data, development plans and strategies to various audiences in both verbal and written form, steer and influence interpretations (including impact) and conclusions for reports and regulatory documents that are clear and concise
Demonstrated external visibility in the field of pharmacometrics, through publications, presentations, and involvement in professional organizations
Ability to participate in and to steer an interdisciplinary team, and to oversee the work of other scientists
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"This (remote) position is only applicable for those that are not within commutable distance to primary sites noted in posting. Please note that standard commute is (less than) <50 miles."
NOTICE FOR INTERNAL APPLICANTS
In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.
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Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected salary range:
$181,600.00 - $285,800.00
Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here ( .
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Employee Status:
Regular
Relocation:
Domestic/International
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Remote
Shift:
1st - Day
Valid Driving License:
No
N/A
Required Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management
Preferred Skills:
Job Posting End Date:
07/31/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Job Posting End Date: 07/31/2024
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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