Company Description:

Located in Milwaukee, Wisconsin, the Versiti Blood Research Institute (VBRI) is the largest blood-focused research institute in the United States. With over 30 basic, translational, and clinical researchers, the institute is dedicated to advancing scientific knowledge and developing innovative therapies related to blood and blood disorders. The institute's research interests encompass a wide range of topics, including transfusion medicine, cellular therapy, thrombosis/hemostasis, immunology, and hematologic malignancies. As a vital part of Versiti, a non-profit organization with a blood bank at its core, the VBRI strives to improve lives through innovative research and the development of novel diagnostics and treatments.

VBRI is part of the Milwaukee Regional Medical Campus, a rapidly growing clinical-translational research hub. VBRI's proximity to the Medical College of Wisconsin, Childrens' Hospital of Wisconsin, and Froedtert Hospital facilitates seamless interdisciplinary collaborations. A range of exemplary core facilities support highly competitive research. In the summer of 2024, construction of a new research building will start, doubling existing VBRI research space to enable the recruitment of 10-15 new faculty. With its renowned researchers, strategic expansion plans and location in a highly collaborative environment, the VBRI is poised to maintain and expand its position as one of the leading hematology institutes in the world.

The Lead Computational Biologist will act as lead of the Bioinformatics Team of Versiti's Blood Research Institute. The Lead Computational Biologist will make meaningful scientific contributions to the research of a rapidly growing community of VBRI investigators, participate in teaching activities, and develop the Bioinformatics Team as needed to maintain cutting-edge and forward-looking computational competencies.

The VBRI has identified bioinformatics as a strategic growth area and dedicated substantial resources to increase staffing in the bioinformatics core and recruit additional faculty. We are seeking an individual who enjoys collaboration and communicates effectively with wet-lab focused researchers. Prior experience in multi-omics integration is a plus.

What Makes this a Great Opportunity:

Primary responsibilities include providing data analysis, integration, application, and development of state-of-art computational methods to analyze and integrate genome wide datasets from transcriptomic, epigenomic, and functional genomics-based approaches.

Highly qualified and motivated Individuals with substantial experience in computational biology may be considered for appointment to the VBRI faculty as an Associate Investigator, Investigator, or Senior Investigator.

Collaborate closely with researchers to understand research objectives, suggest appropriate statistical designs consistent with meeting those goals, communicate analysis results, and facilitate interdisciplinary collaborations. Present findings at meetings, seminars, and conferences.
• Conduct comprehensive analyses of biological data generated by researchers, including genomic, transcriptomic, epigenetic, proteomic, and metabolomic datasets. Interpret results and provide insights to researchers to support their research goals.
• Develop, optimize, and maintain bioinformatics pipelines and workflows for processing and analyzing high-throughput sequencing data and other biological data types. Ensure pipelines are scalable, reproducible, and aligned with best practices. Keep abreast of emerging technologies, methodologies, and resources to enhance the capabilities of the Bioinformatics Core.

Skills and Knowledge

• Experience with high-performance computing (HPC) environments, cluster computing, and cloud computing platforms, including expertise in programming R and Python.

Basic Qualifications:

• 1-3 years experience in analysis and interpretation of single cell datasets required

Desired Experience and Traits

• 4-6 years relevant experience in Bioinformatics, Biostatistics or biology or related field
• 1-3 years track record of scientific accomplishment, as evidenced by high-quality publications in peer-reviewed scientific journals
• 1-3 years experience in a lead biocomputational role

Educational Requirements

• PhD Bioinformatics, Biology, Biostatistics, or related field required