Sr. Scientist (Modeling), Engineering

Job Description

The Process Excellence Team is seeking a Senior Scientist who will lead Process and Product Modeling efforts across the Global Animal Health Manufacturing (GAHM) organization. The Senior Scientist will develop and utilize advanced computational models to accelerate and optimize the development launch technical transfer and routine production of our Global Animal Health portfolio.

The Process Excellence team is a part of the Global Animal Health Manufacturing (GAHM) Science and Technology (S&T) organization and supports both large and small molecule lines of business.

As a potential candidate you have advanced graduate degree(s) in an engineering or scientific discipline relevant to pharmaceutical process and product modeling for small molecules and/or large molecules. Your graduate research or work experience must have a specialization in process modeling and computational this role using a variety of process-modeling tools you will build and apply predictive tools for small and large-molecule drug substance (upstream and downstream) and drug product manufacturing unit operations. Your expertise in computational fluid dynamics (CFD) and associated engineering models (mass momentum energy transport chemical/biochemical reaction kinetics etc.) would be a strong asset to this role. Candidates who have expertise in other modeling techniques should also apply such as flowsheet models population balance modeling data driven models and other modeling methods.

Responsibilities

• Collaborate closely with multidisciplinary scientists and engineers to create end-to-end predictive models that support drug substance and drug product manufacturing operations. Examples of problems on which you will work: scale-up or scale-down tech-transfer fluid-flow and multiphase-flow modeling occurring in drug-substance unit operations (bioreactors mixing vessels dissolution chromatography filtration) and drug-product unit operations (freezing thawing mixing filling).

• Develop and apply mechanistic and data-driven models including filtration process flowsheets process economics and digital twins to solve real-world manufacturing challenges encountered during commercialization of new products

• Drive innovation by championing computational tools that reduce costs minimize experimental batches shorten timelines and improve product quality and process robustness. Communicate complex modeling insights clearly to project teams and leadership translating results into actionable experimental and manufacturing strategies.

• Lead the deployment of computational solutions using commercial software open-source tools and proprietary models you help develop.

• Work independently with minimal supervision managing multiple projects and timelines effectively.

• Present your work at internal meetings scientific conferences and contribute to publications.

• Lead collaborations with external partners such as universities research organizations and contract manufacturing organizations (CMOs/CDMOs) to advance modeling capabilities.

Required Qualifications

• Must have Doctoral degree (PhD) with 0-3 years of relevant experience OR

• Masters degree (MS) with 4-7 years of relevant experience. Degree may be in Chemical Engineering Biochemical Engineering Biological Engineering Mechanical Engineering Chemistry Pharmaceutical Engineering or any other relevant discipline.

• Strong research background in computational modeling applied/relevant to pharmaceutical manufacturing

• Must have expertise with one or more computational techniques relevant to pharmaceutical modeling. Relevant techniques include (but not limited to): computational fluid dynamics (CFD) first-principle engineering models (mass momentum energy transport chemical/biochemical reaction kinetics etc.) numerical methods (must be able to setup and solve linear/non-linear equations ODEs PDEs etc.) flowsheet models population balance modeling (PBM) statistical methods data driven models and other modeling methods.

• Experience with relevant software tools (e.g. M-Star ANSYS Fluent or other CFD software; SuperPro ASPEN Plus gPROMS BioSolve Dynochem GoSilico CADET etc.).

• Proficiency in programming languages such as Python (preferred) Matlab C/C or R.

• Excellent organizational interpersonal and communication skills.

• Proven ability to work effectively in cross-functional teams.

• Industrial or relevant research experience with biologics vaccines or sterile liquid manufacturing processes. Candidates with strong modeling and computational experience in other process industries will also be considered.

Preferred Qualifications

• Demonstrated success in applying modeling outcomes in highly regulated manufacturing environments. Knowledge of cGMP concepts.

• Experience with high-performance computing.

• Strong publication presentation or patent record.

• Knowledge of statistical software (Minitab JMP) and other related modeling techniques such as machine learning (ML) or artificial methods (AI) computational fluid dynamics (CFD) etc.

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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 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 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 salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive if applicable.

We offer a comprehensive package of benefits. Available benefits include medical dental vision healthcare and other insurance benefits (for employee and family) retirement benefits including 401(k) paid holidays vacation and compassionate and sick days. More information about benefits is available at can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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