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Description

As a member of the NBE (New Biological Entity) - Pharmacokinetics group, the successful Principal/Senior Principal Scientist will design and implement mechanistic PK/PD and quantitative systems pharmacology models in support of Boehringer Ingelheim’s highly innovative pre-clinical NBE portfolio. This scientist will represent the PK/PD modeling discipline on multi-disciplinary drug discovery project teams and integrate PK/PD and target engagement considerations into team strategy and decision-making. Additionally, this leader will manage and mentor a team of scientists, fostering their professional development and ensuring the successful delivery of projects. This scientist will also collaborate with stakeholders in Discovery Research and Clinical Pharmacology and other relevant functions to support the overall translational research strategy for projects as well as enhance capabilities of the modeling group by implementing novel approaches and technologies.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

Duties & Responsibilities

• Independently develops pre-clinical PK/PD and quantitative systems pharmacology models that enhance decision-making for NBE target and candidate selections and inform translational research strategies for NBEs.

• Management of direct reports as needed including recruiting, onboarding and development; Mentors and develops scientific staff; Assigns projects, directs and oversees experimental design and results of technicians and junior level scientists.

• Uses modeling and simulation to predict human efficacious dose/dose regimen and influences selection of first-in-human starting dose.

• Designs quantitative pharmacology and pharmacokinetic studies, analyzes and interprets data, and clearly communicates results to teams and management.

• Leverages literature data or proposes new experiments to validate models or test model-generated hypotheses.

• Develops new methodologies, protocols, or procedures that contribute to core group/research goals and reflect expert knowledge.

• Serves as the PK/PD modeling representative on multiple cross-functional project teams.

• Effectively collaborates with scientists within and outside the functional area (e.g., therapeutic area biologists, protein engineering scientists, clinical pharmacologists).

• Contributes to the overall translational research strategy by integrating PK/PD and target engagement considerations into team strategy and decision-making.

• Prepares clear technical reports, publications, and oral presentations.

• Develops broad knowledge in the field of expertise and enhances internal capabilities of the group.

• Presents work at internal/external scientific meetings and publishes work in scientific journals.

• Complies with all applicable regulations; Ensures that work performed in area of responsibility is conducted in a safe and compliant manner; Maintains proper records in accordance with SOPs and policies.

• Contributes to departmental administration; Demonstrates fiscal responsibility with respect to cost of experiments, technology, external collaborations, and travel.

Requirements

• Theoretical and practical knowledge of pharmacokinetics, PK/PD, and quantitative systems pharmacology modeling.

• Experience using one or more commercially available modeling and simulation platforms (e.g., Phoenix/WinNonlin, NONMEM, MATLAB, SimBiology, etc.).

• Experience in mechanism-based PK/PD modeling of therapeutic proteins is highly desired.

• Proficiency with a scriptable modeling and simulation language (e.g., R, MATLAB, Julia).

• Experience with biomedical modeling techniques beyond ODEs, e.g., PDEs, spatial-temporal modeling, agent-based modeling.

• Proficiency with PBPK (whole-body and minimal) modeling applied to biologics research and development.

• Experience with computational tools used for validation and verification of mechanism-based models (e.g., parameter estimation, sensitivity analysis, virtual population/patient simulations).

• Proven ability to manage and mentor scientific teams, fostering professional development and ensuring successful project delivery.

• Strong aptitude for managing projects and sharing expertise with cross-functional and global teams.

• Ability to build effective working relationships and influence others both inside and outside the department.

Principal Requirements

• Requires a PhD plus 5 years industry experience in related field or equivalent.

• 1-3 years of experience leading employees and projects is required

Senior Principal Requirements

• Requires a PhD degree plus 7 years related industry experience or equivalent in addition to experience in lab management.

• 4-6 years of experience leading employees, projects and leaders is required.

Eligibility Requirements:

• Must be legally authorized to work in the United States without restriction.

• Must be willing to take a drug test and post-offer physical (if required).

• Must be 18 years of age or older.

Compensation Data

This position offers a base salary typically between $140,000 and $222,000.  The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements.  For an overview of our benefits please click here. (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards)

All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.