Apply your expertise in bioinformatics, computational biology, genomics data science, or computer science towards this unique Bioinformatics Research Scientist opportunity in the Tsai Genome Editing Lab, focusing on advancing genome editing technologies towards treatments of pediatric patients with sickle cell disease and cancer, from bench to bedside.
This is a great chance to apply skills in programming and next-generation sequencing data analysis to important challenges that may lead to new, potentially curative, genome editing treatments for patients at St. Jude Children’s Research Hospital.
Our Lab
The Tsai Lab is a dynamic, collaborative, and creative group of scientists at St. Jude Children’s Research Hospital. Our research program centers on development of state-of-the-art genomic methods for understanding the global activities of genome editors, protein engineering to improve their capabilities for precise editing, and translation to autologous genome edited hematopoietic stem cell therapies.
About the Job Opportunity
We are seeking an outstanding and highly motivated Bioinformatics Scientist to help lead efforts to improve our fundamental understanding of CRISPR genome editors (nucleases, base editors, prime editors), engineer better editors, and apply them towards treatments of catastrophic hematological conditions such as sickle cell disease and bone marrow failures.
Our wet-lab scientists generate large-scale next-generation sequencing (NGS) datasets on the genome-wide activity of editors, engineered variants with improved properties, and genome editing outcomes. We are looking for a candidate who can use their computational skills to help understand the biology of genome editors and help engineer better editors for therapeutic applications.
You would have opportunities to work on exciting projects that include:
· Develop new computational pipelines to analyze data from novel high-throughput methods to understand global activity of genome editors
· Understand the impact of individual genetic variation on therapeutic genome editing
· Develop infrastructure and framework for patient-specific genome editing and high-throughput lead discovery
· Machine learning to predict the activity and specificity of CRISPR genome editors.
Some examples of open-source software packages we have developed include analysis pipelines for CHANGE-seq and GUIDE-seq.
The ideal candidate will be fluent in programming in a language such as Python and experienced with NGS data analyses. If you have special experience with open-source software development, high-dimensional data visualization, high-performance computing, artificial intelligence/machine learning we particularly encourage you to apply.
We care deeply about the success of our trainees and this job is a unique opportunity to learn about genomics while contributing to the development of future genomic medicines at St. Jude.
You would learn valuable skills that include:
· Genome editing biology, next-generation sequencing analysis, high performance computing, machine learning, and others.
Applicants are encouraged to provide a cover letter.
Those with experience in genome editing, genomics, high-throughput sequencing, screening or automation we especially encourage you to apply!
Responsibilities
Project-dependent responsibilities could include:
- Develop analysis pipelines for state-of-the-art methods for understanding CRISPR genome editors.
- Develop machine learning models to predict activity and specificity of editors.
- Create novel pipelines for high-throughput lead discovery with base and prime editors.
- Develop broadly applicable useful methods to enable genome editing drug development.
- Analyze experimental outcomes and develop high-quality summaries towards manuscripts and grant applications.
- Draft manuscripts and figures for publication in high-impact journals
Minimum Education
- Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field.
- Master's degree or PhD preferred.
Minimum Experience
Bioinformatics Research Scientist
- Four years of relevant post-degree work experience is required
- Two years of relevant post-degree work experience is required with a Master's degree
- Zero years of relevant post-degree work experience is required with a PhD
- Experience in at least one programming or scripting language and at least one statistical package, with R preferred
Senior Bioinformatics Research Scientist
- Seven years of relevant post-degree work experience is required
- Five years of relevant post-degree work experience is required with a Master's degree
- Two years of relevant post-degree work experience is required with a PhD
- Experience in at least one programming or scripting language and at least one statistical package, with R preferred
Other Information
St. Jude is an Equal Opportunity Employer
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St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.
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