Bioinformatics Analyst

We are looking for a motivated and experienced Bioinformatics Analyst to join Dr. Robert Burk’s research group. This role is critical for supporting our ongoing research projects focused in 2 areas- the human microbiome (gut, oral and cervicovaginal), and human papillomavirus related to cervix neoplasia. 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 candidate will demonstrate a willingness and eagerness to adapt to new approaches, as the field of bioinformatics is dynamic and constantly evolving.

Key Responsibilities in order of priority:

• NGS Data Handling: Perform demultiplexing and analysis of NGS data using barcoding primers for multiplex NGS runs.
• Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies.
• Data Processing and Analysis: Utilize existing pipelines to process and analyze high-throughput sequencing data reads, including amplicon sequencing, bisulfite sequencing, metagenomics, and viral integration.
• Data Management: Manage and organize bioinformatics sequencing data for our research group, including papillomavirus sequences, microbiome data (16S, ITS1 and shotgun metagenomics), and human genomic data.
• Large Dataset Management: Download and handle large Fastq, BAM, and/or Fasta files for analyses.
• Software Utilization and Script Modification: Use existing software tools and be able to modify R scripts to generate figures and perform epidemiological analyses.
• Phylogenetic Analysis: Construct phylogenetic trees to support ongoing research projects.
• Collaboration and Reporting: Work closely with and report directly to Robert D. Burk, M.D., Principal Investigator, and collaborate with other lab members generating NGS data.

• Educational Background: Bachelor’s degree with at least one year of experience in epidemiology, computational biology, or bioinformatics.
• Technical Skills: Proficiency in R or Python is required. Experience in microbiome bioinformatic processing is preferred.
• Communication Skills: Ability to speak clearly and express oneself well in one-on-one conversations and groups. Develops effective written communications and uses them appropriately. Ability to present at weekly lab meetings using PowerPoint or other presentation programs.
• Interpersonal Skills: Interacts and proactively shares information with internal and external contacts where appropriate. Develops effective professional relationships with peers, students, and employees.
• Responsibility and Problem-Solving: Assumes responsibility to ensure issues/concerns are addressed and monitors them through to conclusion. Identifies, defines, and analyzes information and situations before recommending a course of action.
• Time Management: Effectively manages own time and resources.
• Innovation and Technology: Seeks to apply technology and innovation to improve efficiency and solve problems related to the goals of the research group.