Postdoctoral Research Associate- Tissue Modeling

General Summary of Position:

The project revolves around tissue modeling on host-pathogens interactions, multi-omics data analysis, and mentoring at different levels. Previous experience in advanced tissue modeling and molecular and functional characterization is prerequisite, while experience working with bacterial cultures is a plus but not strictly necessary. We are committed to recruiting individuals from diverse backgrounds who are passionate about promoting equity in STEM education.

Minimum Qualifications (Required):

• Ph.D. in a relevant field (BME, ChemE, Biology, etc.)
• Strong analytical, problem-solving skills
• Highly experiences in complex experimental design and execution
• Mammalian cell culture
• Advanced tissue engineering techniques
• Biomaterials fabrication
• Basic and Advanced Molecular biology laboratory techniques (mammalian and bacterial)
• Strong analytical, problem-solving skills
• Excellent written and verbal communication skills and ability to work effectively in a team setting
• Publication record in peer-reviewed journals

Additional Considerations:

• Experience with multi-omics data analysis
• Experience with CLSM and SEM imaging skills
• Experience with tissue modeling
• Experience with host-pathogens interactions
• Desire to learn about grant writing

Special Instructions to Applicants:

Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

This is a Grants & Contracts (MTA/GRACE) bargaining unit position.

Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received.

This position is contingent upon funding.

Please include a resume and a cover letter with your application. Names and contact information of three references will be required during the application process.