Job ID: 118139

Postdoctoral research fellow in computational biology

Position: Post-doctoral Position

Deadline: 31 July 2024

Employment Start Date: 16 May 2024

Contract Length: 5 years

City: Charleston

Country: United States

Institution: Medical University of South Carolina

Department: Neuroscience

Description:

The Berto Lab and the brand-new MUSC Bioinformatics Core (BioCM) are seeking a superb postdoctoral researcher to analyze and develop scientific tools for single cell multiomics and spatial transcriptomics.

Under the supervision and guidance of Dr. Stefano Berto, the postdoctoral researcher will contribute to analysis projects focusing on single-cell omics in autism, neurodevelopmental disorders, and human brain evolution. The postdoctoral researcher will develop, utilize, and apply computational tools to analyze, visualize, and integrate both local and independent data sources. The successful candidate must be proficient in writing original code for specific applications and adept at customizing existing software tools and analytical pipelines to suit project needs.

The postdoctoral researcher will be expected to write and publish methodological articles, such as those focusing on new methods, benchmarking, or enhancements in data interpretation. They will have the opportunity to present their findings at national and international conferences. Additionally, they will be encouraged to collaborate on biology-motivated projects within the lab and with external collaborators.

Three Main Projects: CNDD (center for Neurodevelopmental disorders, NDD multiomics), BICAN (BRAIN Initiative Cell Atlas Network, primate evolution), Autism (collaborations, single cell omics).

Skills: knowledge on statistics and ML/DL/AI is preferred. Previous experience with single cell omics is a plus.

Financial support is available for 5 years.

Visa Support is available.

Supervisors and collaborators: Stefano Berto, PhD (MUSC), Souvik Seal, PhD (MUSC), Genevieve Konopka, PhD (UTSW), Christopher Cowan, PhD (MUSC).

Requirements:
• PhD degree in computer science/computational biology/biostatistics
• At least 3 years of genomic experience
• Previous experience in transcriptomics, epigenomics, and genral bioinformatics are highly desirable.
• Experience with ML/DL/AI is required.
• Strong track-record of research productivity.
• Excellent communication skills, works well in teams, and demonstrates effective skills in time management and organization.
• The successful applicant will meet all eligibility requirements for employment at MUSC including US visa status and successful completion of a background check.
• Applicants from under-represented minority groups are especially encouraged to apply.

Application: Interested applicants should send an email to Dr Berto: berto@musc.edu that includes the following information: CV, cover letter, and contact information for at least three references willing to write a letter of support. Please include ‘Berto Lab Post-Doctoral Position’ in the subject field.

Closing date: Applications will be accepted until the position is filled.