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MSD Associate Principal Scientist Computational Process United States, New Jersey, Rahway 7389683
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Job Description
The Process & Product Modeling Team in our Company Manufacturing Division seeks an experienced Associate Principal Scientist who will develop and utilize advanced computational models to support the development and commercialization of biologics, vaccines, sterile liquids, and other large-molecules modalities. In this role, you will build and apply predictive tools for drug substance (upstream, downstream, and conjugation) and drug product manufacturing unit operations using a variety of process-modeling tools.
This position is located atWest Point (PA, USA), Rahway (NJ, USA), greater Dublin area (Ireland), or remote.
Roles and Responsibilities
Work collaboratively with our Company scientists and engineers to develop end-to-end modeling solutions that will help with development, commercialization, and troubleshooting of large-molecule unit operations.
Using modeling solutions, support process development, process characterization, scale-up, scale-down, tech-transfer, and troubleshooting. Champion the use of computational techniques to influence project teams and the organization. Drive tangible outcomes: reduced costs, fewer experiments and batches, faster timelines, improved quality and process robustness.
Demonstrate creativity in solving complex, physical/biochemical problems faced during industrial manufacturing. Lead the development and deployment of computational tools, using a combination of commercial software, open-source tools, and in-house models (that you may have created).
Work independently with minimal supervision. Interact directly with project teams to identify modeling opportunities, and propose and execute modeling solutions to complex, experimental problems.
Communicate effectively with project teams on the status of workstreams and manage timelines; translate modeling results to actual, experimental outcomes in projects. Present at internal and external forums (conferences, publications).
Lead external collaborations (with universities, research organizations, etc.). Work independently with internal and external partners (e.g., CMOs, CDMOs, vendors) to develop novel modeling solutions to support tech transfer.
Master’s degree (MS / M.S.) with minimum of8 yearsor Doctoral degree (PhD / Ph.D.) with a minimum of 4yearsof relevant experience, preferably in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Biological Engineering, Pharmaceutical Engineering, or any other closely-related discipline. Must have research experience in a computational specialization.
Expertise with one or more computational techniques relevant to large-molecules modeling: chromatography modeling, end-to-end flowsheet modeling, plant modeling (facility fit, cadence, scheduling), process economics and optimization. Candidates with expertise in bioreactors, engineering modeling, mixing, chemical & biochemical kinetics, data-driven and other modeling approaches also encouraged to apply.
Experience in any the following software packages or similar (not a comprehensive list): GoSilico, CADET, SuperPro, ASPEN Plus, gPROMS, BioSolve, Dynochem.
Proficiency in programming in at least one standard language: Python, Matlab, C/C++, R, etc.
Excellent organization skills and be able to manage multiple projects simultaneously. Excellent interpersonal skills and ability to work in cross-disciplinary teams.
Excellent communication skills, verbal and written.
Industrial or relevant research experience with large-molecule modalities (biologics, vaccines, sterile liquids) and their manufacturing processes.
Preferred:
Track record of successful implementation of modeling outcomes in the commercialization and cGMP environments is highly desired. Familiarity or experience with regulatory filings (BLAs, NDAs) and CMC processes preferred.
Experience with high-performance computing.
Track record of publications, presentations, and/or patents. Awareness of latest modeling developments and advances in candidate’s area of expertise.
Familiarity with statistical methods and packages (e.g., Minitab, JMP, etc.); familiarity with other modeling methods relevant to large molecules, e.g., computational fluid dynamics (CFD).
NOTICE FOR INTERNAL APPLICANTS
In accordance with 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.
Current Contingent Workers apply
US and Puerto Rico Residents Only:
if you need an accommodation during the application or hiring process.
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 acollective-bargainingagreement (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:
$135,500.00 - $213,400.00San 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
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
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