Computational Biologist

Versiti-posted about 1 year ago

Full-time • Entry Level

Wauwatosa, WI

11-50 employees

Ambulatory Health Care Services

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The Computational Biologist at the Versiti Blood Research Institute (VBRI) plays a crucial role in advancing research related to blood and blood disorders. This position focuses on data analysis, integration, and the development of computational methods to analyze genome-wide datasets, contributing to innovative therapies and diagnostics. The role involves collaboration with researchers, the implementation of bioinformatics pipelines, and the mentoring of trainees, all within a highly collaborative and resource-rich environment.

Works with Investigators to develop a research project and communicates results of research at meetings.
Collaborates with colleagues to analyze and integrate multiple types of genomic datasets using computational methods.
Develops and implements bioinformatics pipelines tailored to individual research projects.
Provides direction to trainees.
Generates clear and complete records of work.
Participates in publication and presentation of research.
Coordinates and cooperatively manage resources (servers, data storage, and internet connectivity) with IT staff.
Serves as a resource for techniques, information, computational methods, interpretation of data, etc. for laboratory staff.
Performs other duties as required or assigned which are reasonably within the scope of the duties in this job classification.
Understands and performs in accordance with all applicable regulatory and compliance requirements.
Complies with all standard operating policies and procedures.

PhD in bioinformatics or related field required
1-3 years of relevant experience preferred, however newly graduated PhDs are also encouraged to apply.
Experience with the analysis and interpretation of single cell datasets preferred.
Experience with pathway analysis tools preferred.
Expertise in UNIX/Linux operating system required.
Expertise in programming includes C++, PERL, JAVA or Python required.
Strong background in statistics and expertise in statistical analysis software such as R or Matlab desired.
Expertise in data management software such as MySql preferred.
Strong knowledge of public bioinformatics tools and resources of genomic data, expertise in common next-generation sequencing data analysis pipelines for alignment, variant calling, RNA-seq, genomics, and ChIP-seq, etc. desired.
Ability to independently develop computational models based on research needs desired.
Knowledge of molecular biology and genetics is strongly preferred, although wet-bench skills are not required desired.
Ability to effectively communicate scientific information both verbally and in writing required.
Ability to work both independently and as a team player given the collaborative nature of the job required.
Strong analytical ability, problem solving skills, and detail oriented desired.
Exceptional organizational skills with the ability to prioritize and execute multiple tasks and meet deadlines preferred.

Strong background in statistics and expertise in statistical analysis software such as R or Matlab.
Expertise in data management software such as MySql.
Strong knowledge of public bioinformatics tools and resources of genomic data, expertise in common next-generation sequencing data analysis pipelines for alignment, variant calling, RNA-seq, genomics, and ChIP-seq, etc.
Ability to independently develop computational models based on research needs.
Knowledge of molecular biology and genetics is strongly preferred, although wet-bench skills are not required.
Strong analytical ability, problem solving skills, and detail oriented.
Exceptional organizational skills with the ability to prioritize and execute multiple tasks and meet deadlines.

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