Bioinformatics Analyst - Auslander Lab

The Wistar Institute•Philadelphia, PA

About The Position

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. 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.

Requirements

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

Nice To Haves

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

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