Postdoctoral Associate - Bioinformatics

1000scholars; Houston (TX); On-site; USD 53,000 - 70,000; Full time

Job summary

Baylor College of Medicine invites applications for a postdoctoral bioinformatic position in the Taylor laboratory within the Pediatric Brain Tumor Research Program. The successful candidate will evaluate and analyze large sequencing and multiome datasets, contributing to studies of brain development and brain cancers.

The position follows NIH-like stipend guidelines for Postdoctoral Associates. Responsibilities include analysis, presentation of findings, manuscript preparation, and mentoring

Qualifications

• PhD or MD in a relevant field.
• Exceptional computational skills desired.
• Strong written and oral communication skills.

Responsibilities

• Develop strategies for analyzing single-cell transcriptomic datasets.
• Analyze data from whole-genome, whole-exome, ChIP-seq and RNA-seq experiments.
• Present data at national/international meetings.
• Prepare manuscripts for publication.
• Apply for external fellowships.
• Mentor junior lab members.
• Establish new research protocols and procedures.
• Perform other duties as assigned.

Education

MD or PhD in Basic Science/Health Science or related field

Job description

Monday - Friday, 8 a.m. - 5 p.m.

Summary

A postdoctoral bioinformatic position is immediately available in the Taylor laboratory to study, plan, direct and conduct specialized and advanced research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties

• Develop new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets to investigate gene function during normal mammalian brain development, and how abnormalities in normal brain development lead to the development of brain cancers.
• Mining, analysis and interpretation of data (whole-genome, whole-exome, ChIP-seq and RNAseq) in light of tumour evolution, with the aim of understanding the underlying dynamics of tumour growth, relapse, metastases and progression.
• Collect and analyze data and presenting at national/international meetings.
• Prepare manuscripts for publication.
• Apply for external fellowships.
• Mentor junior lab members.
• Establish new research protocols and procedures.
• Performs other job duties as assigned.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. The most advanced degree must have been conferred within the last 3 years.
• Prior experience with brain development, and/or cancer cell biology would be an asset.
• Experience with large-scale genomic data would also be advantageous.
• Prior first author publications are highly desirable.
• Must be self-motivated, well-organized, highly independent, and willing to train new students.
• Excellent communication, written and interpersonal skills are mandatory.
• Candidates with external funding or scholarships to help support their salary will be highly recruited.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.