Lead Computational Biologist

2 weeks ago

Milwaukee, United States Versiti, Inc. Full time

Overview:
Versiti is a fusion of donors, scientific curiosity, and precision medicine that recognize the gifts of blood and life are precious. We are home to the world-renowned Blood Research Institute, we enable life saving gifts from our donors, and provide the science behind the medicine through our diagnostic laboratories. Versiti brings together outstanding minds with unparalleled experience in transfusion medicine, transplantation, stem cells and cellular therapies, oncology and genomics, diagnostic lab services, and medical and scientific expertise. This combination of skill and knowledge results in improved patient outcomes, higher quality services and reduced cost of care for hospitals, blood centers, hospital systems, research and educational institutions, and other health care providers. At Versiti, we are passionate about improving the lives of patients and helping our healthcare partners thrive.

Position Summary:
This is a Lead Computational Biologist position in the Bioinformatics Shared Resources. The staff member provide bioinformatics support for complex research projects involving multidisciplinary teamwork and collaboration, and supply support to the Scientific Director that this position reports to. The Lead Computational Biologist must have a broad understanding of key biological concepts and knowledge enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. The individual can bidirectionally communicate with biologists with clarity and understanding, and then translate client objectives into approaches involving a variety of computational methodologies. In addition to the basic computational competencies, the individual will play an important role advising clients on experimental design, and coordinating with other group members on data analysis, in particular NGS sequencing data analysis and integration of multi-omics data analysis.

**Responsibilities**:
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.-
Provide training, workshops, and educational resources to researchers on bioinformatics tools, methodologies, and data analysis techniques. Foster a culture of computational literacy and empower researchers to leverage bioinformatics resources effectively.-
Document analysis workflows, methodologies, and results in clear and complete manner.-
Participates in publication and presentation of research.-
Coordinates and cooperatively manage resources (servers, data storage, and internet connectivity) with IT 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 proceduresQualifications:
**Education**
- PhD in bioinformatics or related field required

**Experience**
- More than 2 years of relevant experience preferred, however newly graduated PhD’s are also encouraged to apply.
- Experience with the analysis and interpretation of single cell datasets preferred
- Experience working in a bioinformatics core facility or shared resource environment, providing bioinformatics support and services to researchers.

**Knowledge, Skills, and Abilities**
- Experience with high-performance computing (HPC) environments, cluster computing, and cloud computing platforms. required
- Expertise in programming includes R and Python. required
- Expertise in data management software such as MySql.
- Strong knowledge of public bioinformatics tools, databases 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 play

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