Job Information
Boehringer Ingelheim Postdoctoral Fellow - Biomanufacturing Plant Modeling & Data Science, Fremont CA in Fremont, California
Description
The Development Operations department at Boehringer Ingelheim Fremont, Inc. is currently seeking a Postdoctoral Fellow who will develop innovative ideas to solve complex biomanufacturing challenges. Flexibility and agility are necessary skills in this unique position in which you will have the opportunity to propose, evaluate and support the establishment of new technologies and digitalization solutions for different aspects of our global biomanufacturing business.
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, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities
You will be responsible for identifying and proposing solutions to complex biomanufacturing challenges that are of interest to Boehringer Ingelheim Fremont, Inc.
Initial focus will be on the creation of a digital representation of the Boehringer Ingelheim Fremont biomanufacturing facility using advanced simulation techniques to optimize production efficiency and simplify the resource & cost simulation process. Another important part of your responsibility will be to obtain buy in and support from matrixed functions and leadership as well as to provide regular progress updates.
As a Postdoctoral Fellow, you will have the opportunity to drive research of novel concepts in computational modeling & digitalization technologies, process science, biomanufacturing science, process analytical technologies, and other technological aspects of biomanufacturing. Additionally, you will have the opportunity and responsibility to collaborate with leading academic institutions as well as other industrial partners. You will be responsible for identifying and developing appropriate tools and methods as well as integrating and interpreting your data.
A unique aspect of this appointment is the opportunity to obtain additional training in innovation management as this role is within the Technology Innovation group.
Requirements
PhD degree in Computer Science, Data Science, Bioprocess Engineering, Manufacturing Engineering, Biotechnology, Bioengineering, Chemical Engineering, or a related field with no more than 3 years of Postdoctoral experience
Substantial modeling and data science expertise.
Proficiency in at least one programming language.
Expertise proposing innovative ideas to solve complex problems.
Independently conduct research projects and effectively present the results
Excellent written and oral communication skills in English, a proactive attitude, self-sufficient, and the ability to work in cross-functional teams
Strong drive to learn new things
Experience in searching and evaluating literature/patents
Desired Skills, Experience and Abilities
Familiarity with INOSIM or other plant modeling simulation software
Proven track record of conducting and publishing innovative research projects
Writing of research proposals
Broad scientific and technical knowledge with the ability to quickly become an expert in a specific topic
Ability to think outside the box, enjoys brainstorming, and is comfortable with ambiguity
Experience in adapting established technologies and methodologies to a different technical field
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
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.