Xing Lab Post Doctoral Associate

University of Pittsburgh • Pittsburgh, PA

4d

About The Position

It emerges as an exciting new field both in quantitative biology and computational biology on studying how eukaryotic cells make cell fate decisions and convert between different cell types by integrating big data analyses and mechanistic studies¹. My lab has been focusing on putting single cell high throughput (e.g., sequencing and imaging) data analyses within the framework of mechanistic modeling2-8.
The Xing Lab has an immediate opening for a highly motivated researcher at the postdoc level. In this position, the researcher will: 1) apply existing computational approaches including what developed in the Xing lab to perform mechanistic studies on single cell and spatial genomics data; 2) come up with own research questions/ideas along the general research interest of the lab and discuss with Dr Xing; 3) collaborate with the Xing lab members and external collaborators to carry the planned research on constructing biophysical virtual cell models to investigate the basic principles of gene regulation and cell fate decision, and disseminate your research finding to the scientific community in a timely manner; 4) help Dr Xing on preparing for grant proposals.
The trainee is encouraged to work with Dr Xing on applying for fellowships for career development. Guided by Professor Xing and the formal postdoc mentoring program required by the University of Pittsburgh, a career plan will be developed to prescribes a series of meeting, written plans and evaluations.

Requirements

• PhD in biomedical research or a related area
• Experience in single-cell omics data analysis
• Bring additional expertise in AI/ML or dynamical systems theory–based modeling, or be willing to collaborate closely with lab members who have these backgrounds
• Demonstrate strong motivation and enthusiasm for learning new skills
• Show a record of productivity, including first-author publications

Responsibilities

• Apply existing computational approaches including what developed in the Xing lab to perform mechanistic studies on single cell and spatial genomics data
• Come up with own research questions/ideas along the general research interest of the lab and discuss with Dr Xing
• Collaborate with the Xing lab members and external collaborators to carry the planned research on constructing biophysical virtual cell models to investigate the basic principles of gene regulation and cell fate decision, and disseminate your research finding to the scientific community in a timely manner
• Help Dr Xing on preparing for grant proposals

What This Job Offers

• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees