Posted 4w ago

Bioinformatics Analyst - Auslander Lab

@ The Wistar Institute
Philadelphia, Pennsylvania, United States
OnsiteFull Time
Responsibilities:Design pipelines, Analyze data, Collaborate teams
Requirements Summary:PhD in Biostatistics, Computational Biology, Bioinformatics, or related field; 10+ years Linux/Unix experience; strong Python and R skills; data visualization and large-scale data processing; experience building bioinformatics tools; strong publication record; domain expertise in cancer biology, microbiome, and computational genomics.
Technical Tools Mentioned:Python, R, Linux, Snakemake, Nextflow, Cloud Computing, High-Performance Computing, Git
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Job Description

The Wistar Institute has an opening for a Bioinformatics Analyst in the laboratory of Dr. Noam Auslander. We are seeking a highly skilled candidates to bring deep expertise in computational biology and biostatistics, with a strong track record of applying analytical approaches to complex biological data, particularly in cancer and microbiome research.

Key Responsibilities

  • Design, develop, and implement computational pipelines for the analysis of high-throughput genomic and microbiome datasets
  • Perform advanced statistical analyses and modeling of large-scale biological data
  • Develop and maintain reproducible workflows using Python, R, and Linux-based environments
  • Conduct data processing, integration, and quality control across diverse data types (e.g., sequencing, metagenomics)
  • Create clear and compelling data visualizations to communicate findings to both technical and non-technical audiences
  • Contribute to software/package development and documentation for internal and external use
  • Collaborate closely with cross-functional teams including biologists, clinicians, and data scientists
  • Lead or contribute to manuscript preparation, figure generation, and publication efforts

Qualifications

  • PhD in Biostatistics, Computational Biology, Bioinformatics, or a related field
  • 10+ years of experience working in Linux/Unix environments
  • Strong programming skills in Python and R
  • Proven experience in data visualization, statistical analysis, and large-scale data processing
  • Demonstrated experience in building and maintaining bioinformatics tools or packages
  • Strong publication record, with experience in scientific writing and manuscript preparation
  • Domain expertise in cancer biology, microbiome research, and/or computational genomics

Preferred Skills

  • Experience with cloud computing or high-performance computing environments
  • Familiarity with workflow management systems (e.g., Snakemake, Nextflow)
  • Knowledge of machine learning approaches applied to biological data
  • Strong communication and collaboration skills

The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed to accelerating research advances from bench to bedside through brilliant science and distinctive approaches to collaboration among scientific investigators and academic and industry partners. Wistar’s dynamic environment supports the advancement of discoveries that will change the future of human health. 

The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. 

We offer a competitive salary and excellent benefits package.

For more information about The Wistar Institute visit our website at www.wistar.org

It is the policy of the Institute to provide equal employment opportunities to all individuals regardless of race, citizenship, ethnicity, color, creed, religion, marital status, national origin, ancestry, sex, age, veteran status, mental or physical disability (including HIV and AIDS), pregnancy, caregiver status, domestic or sexual violence victim status, sexual orientation, gender identity and expression, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.