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Job Details

Bioinformaticist - Bone Marrow Transplant - 38773

Company name
Washington University


Saint Louis, MO

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EOE Statement:

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status. 

Job Type/Schedule:

This position is full-time and works approximately 40 hours per week. 

Department Name/Job Location:

This position is in the Department of Internal Medicine, Division of Bone Marrow Transplant.  This position is for the Medical School Campus.

Essential Functions:


Researchers at Washington University in Saint Louis are looking for a talented bioinformatics scientist to work with a dedicated team of researchers investigating Cancer Genomics. Our group develops and applies computational tools to help understand the origins and progression of cancer. We specialize in translating large-scale sequence data (genomic DNA, RNA-seq, and bisulfite-seq, among others) into insight about how to better detect cancer, predict its response to therapy, and treat patients.

We are seeking an individual who’s primary focus will be the analysis of genomic and transcriptomic data from patients with hematological malignancies and developing new computational approaches for the analysis of measurable residual disease (MRD) sequencing data. Responsibilities include performing primary alignments of sequencing data, variant calling, data aggregation, and plotting of results.

This is not a postdoctoral position, but it is very much an academic environment, and you will have opportunities to contribute to and potentially lead high-impact studies that result in high-profile publications.


* Analysis of sequencing-based projects that study the genetic basis of cancer, tumor clonality, tumor progression, and treatment response.

* Cooperation with computer scientists to extend analysis pipelines for analysis of high throughput sequencing data.

* Development of new computational methods or modification of existing methods to detect low frequency variants from unique molecular index (UMI)-based sequencing data.

* Interaction with teams of diverse internal collaborators including oncologists, computer scientists, biologists, and other geneticists/statisticians.

Required Qualifications:

Bachelor’s degree in science or related field plus 4 years of experience required

Preferred Qualifications:


Master’s degree or Ph.D. in computer science or related field highly preferred


Analytical, reasoning, and problem-solving skills; good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics; ability to analyze and interpret large complex data sets, such as sequences, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner; expertise in standard bioinformatics tools; working knowledge of regulatory networks, hidden Markov models and profile methods, human genetics (SNP, etc.), and complex systems analysis; expertise in scientific programming languages (e.g., Java), scripting languages (e.g., PERL, Vbscript), database management software (Oracle, Structured Query Language [SQL] Server), and the SQL, HTML, ASP, and CGI in a UNIX/Linus and Windows environment; expertise in standard molecular biology techniques (PCR, qRT-PCR, Northern blots); expertise in molecular and functional genomic techniques is desired


Proficiency in the *nix shell and at least one scripting language (Perl, Python, Ruby, etc)

Experience with statistical software packages such as R or SAS

Experience analyzing large genomic data sets. Prior experience with sequencing data is a plus

Strong communication skills and the ability to work effectively in a team

Salary Range:

The hiring range for this position is $52,769 - $71,240 annually.


This position is eligible for full-time benefits.� Please visit our website at to view a summary of benefits.

Internal Applicant Instruction:

This position is grade R11.

Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account.  If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor.   To attach these documents, go to:  My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.

Company info

Washington University
Website :

Company Profile
Washington University in St. Louis’ mission is to discover and disseminate knowledge, and protect the freedom of inquiry through research, teaching and learning. Washington University creates an environment to encourage and support an ethos of wide-ranging exploration. Washington University’s faculty and staff strive to enhance the lives and livelihoods of students, the people of the greater St. Louis community, the country and the world.

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