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Writer's pictureVijithkumar V

Bioinformatics Analyst Position - Albert Einstein College of Medicine


Computer coding, programming language
Bioinformatics Analyst Position - Albert Einstein College of Medicine

Bioinformatics Analyst Position

Institution: Albert Einstein College of Medicine

Department: Pediatrics

Job ID: 2024-16252

Location: Einstein/Resnick - Bronx

Position Type: Regular Full-Time

Salary Range: $58,500 - $65,000 per year

Position Overview

The Albert Einstein College of Medicine is seeking a motivated and experienced Bioinformatics Analyst to join Dr. Robert Burk's research group. This role is integral to supporting ongoing research projects focused on two primary areas: the human microbiome (gut, oral, and cervicovaginal) and human papillomavirus related to cervix neoplasia.

Key Responsibilities

  • Perform demultiplexing and analysis of NGS data using barcoding primers for multiplex NGS runs

  • Process and analyze high-throughput sequencing data reads, including amplicon sequencing, bisulfite sequencing, metagenomics, and viral integration

  • Manage and organize bioinformatics sequencing data for the research group

  • Handle large Fastq, BAM, and/or Fasta files for analyses

  • Utilize existing software tools and modify R scripts for figure generation and epidemiological analyses

  • Construct phylogenetic trees to support ongoing research projects

  • Collaborate closely with the Principal Investigator and other lab members

Qualifications

  • Bachelor's degree with at least one year of experience in epidemiology, computational biology, or bioinformatics

  • Proficiency in R or Python

  • Experience in microbiome bioinformatic processing (preferred)

  • Strong communication skills, both verbal and written

  • Ability to present at weekly lab meetings using PowerPoint or other presentation programs

  • Excellent interpersonal skills and ability to work collaboratively

  • Strong problem-solving skills and ability to manage time effectively

  • Innovative approach to applying technology to improve efficiency and solve research-related problems

The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data. The successful applicant will demonstrate a willingness and eagerness to adapt to new approaches, recognizing the dynamic and constantly evolving nature of the bioinformatics field.

This position offers an exciting opportunity to contribute to cutting-edge research in human microbiome and papillomavirus studies at a prestigious institution. The selected candidate will work in a collaborative environment, directly reporting to Dr. Robert D. Burk, the Principal Investigator, and interacting with other lab members generating NGS data.



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