Associate Director, Translational PK/PD Data Science
Imago BioSciences
Job Description
The department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB) is seeking a curious and collaborative Scientific Associate Director for our growing Translational PK/PD organization. The Translational PK/PD Associate Director is an expert mathematical modeler and scientist who can independently design and execute mathematical modeling approaches to inform drug discovery, with minimal supervision. Associate Directors work with multi-disciplinary discovery teams to enable early, efficient, and successful decisions about PK/PD, modality selection, and dose prediction across all therapeutic areas for small molecule, peptide, and protein therapeutics.
The Translational PK/PD Associate Director serve as an individual contributor, with the following responsibilities:
Serve as expert representative for PDMB in cross-functional teams, to advance model-informed drug discovery and translational science.
Integrate in vitro & in vivo data into systems models (PBPK, PK/PD, mechanistic models) of drug disposition and pharmacology, to support translational and reverse translational efforts across multiple modalities and therapeutic areas
Understand the impact of drug disposition on novel disease biology and pharmacological response (PK/PD) to inform human PK and dose projections
Collaborate across the PDMB organization to develop modeling and simulation strategies to identify and optimize drug candidates
Provide scientific and modeling guidance to junior colleagues
In addition to the responsibilities described above, Associate Directors demonstrate excellent leadership and communication skills, collaborating across PDMB and with other functional areas to build strategies for quantitative model-informed drug discovery.
Note: We are hiring in South San Francisco, CA, Boston, MA or West Point, PA based on candidate preference.
Qualifications:
Education:
- Master’s (with 7+ years), Ph.D. (with 3+ years) or PharmD (with 5+ years) in a science field and relevant experience listed below
Required Experience and Skills:
- Record of increasing responsibility and independence in a similar role in pharmaceutical drug development or academia setting
Experience in performing hands-on translational PK/PD modeling using modeling software (e.g., Phoenix, Berkeley Madonna, Monolix, Matlab, R)
Expert skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics
Preferred Experience and Skills:
Record of increasing responsibility and independence in informing drug discovery/development through mathematical modeling
Experience working in interdisciplinary teams and in collaborative problem scoping/planning
Expertise in biologics, large molecule, and/or protein therapeutics modeling
Expertise in PBPK modeling
#EligibleforERP
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U.S. Hybrid Work Model
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, Monday - 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”.
The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. 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 US salary range:
$149,400.00 - $235,100.00Available 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.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance
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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
Domestic/InternationalVISA Sponsorship:
YesTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
1st - DayValid Driving License:
NoHazardous Material(s):
NoRequired Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall ModelPreferred Skills:
Job Posting End Date:
02/28/2025*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.
Requisition ID:R327390