General Description

Are you eager to tackle cutting-edge challenges at the intersection of computational modeling, data science, and bioprocess optimization? Join Michael Betenbaugh's research lab to develop and refine some of the most sought-after research skills in both academia and industry.

We are seeking a highly motivated and skilled Postdoctoral Researcher to lead a project focused on data-driven modeling, AI-assisted bioprocess optimization, and database development for CHO cell bioproduction. This project will involve genomic-scale metabolic modeling, kinetic modeling, AI-driven analytics, and the creation of a structured database to enhance the understanding and control of monoclonal antibody (mAb) production in CHO and HEK cell lines. A Ph.D. in Chemical Engineering,  Systems Biology, Computational Biology, or a related field is desired.

Johns Hopkins provides an exceptional research environment, fostering innovation at the interface of biomolecular engineering, computational biology, and biopharma.

Why Join Us?

-         Collaborate with top-tier industry partners in biopharma and biotech through the Betenbaugh Lab's extensive network.

-         Be part of AMBIC, a leading biomanufacturing center, where you will have access to conferences, workshops, and seminars (Prof. Betenbaugh serves as the Center Director).

-         Mentorship & career development - Regular one-on-one meetings with Dr. Betenbaugh and collaboration with experts in the field.

-         Competitive standard benefits, with a highly supportive and interdisciplinary research environment.

-         Lab alumni have secured positions at numerous current and emerging biotech startups.

-         Baltimore offers an affordable and vibrant East Coast city experience with access to premier research and healthcare institutions.

-         Initial appointment for one year, with an expectation of at least two years total.

Key Responsibilities:

-         Conduct literature reviews on genomic-scale metabolic modeling, kinetic modeling, and AI-driven bioprocess optimization.

-         Develop data-driven models to predict and optimize CHO and HEK cell culture performance.

-         Apply machine learning and statistical modeling techniques to enhance process control and decision-making in bioprocessing.

-         Perform flux balance analysis (FBA), kinetic simulations, and multi-omics data integration to refine metabolic models.

-         Design, develop, and maintain a structured database for CHO cell metabolism and bioprocessing data, integrating transcriptomics, proteomics, and metabolomics datasets.

-         Implement database management systems to improve accessibility and usability of CHO bioprocessing data.

-         Analyze and interpret large-scale bioprocessing datasets, ensuring data integrity and standardization.

-         Develop computational pipelines for automated data processing, metabolic flux analysis, and AI-assisted modeling.

-         Maintain detailed documentation of methodologies, workflows, and results, and communicate findings with industrial collaborators.

-         Prepare and present research findings through journal articles, conference presentations, and internal reports.

-         Assist in mentoring graduate students and junior researchers in computational modeling, data science, and database development.

Qualifications

• PhD in Chemical Engineering, Biological Sciences, Bioengineering, or a related field
• Background in  bioprocess development and biomanufacturing optimization
• Experience with mathematical modeling, and machine learning techniques.
• Proficiency in data analysis, statistical modeling, and experimental design.

-         Proficiency in Python and Matlab

Ability to work collaboratively in a multidisciplinary team environment.

Application Instructions

In Interfolio, applicants should upload a CV and cover letter detailing their research experience and interests, and contact information for three references. The statement should state why the Betenbaugh lab is a good fit for your career trajectory.

About Johns Hopkins University

Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.

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