Job Summary:
The Department of Biostatistics and Medical Informatics (BMI) engages broadly in data science research, service, and education. The collaborative approach taken by the UW Carbone Cancer Center, BMI, the School of Medicine and Public Health, and UW-Madison creates an environment in which unexpected research ideas developed at the intersection of different disciplines thrive. BMI faculty and research staff collaborate with all SMPH, College of Letters & Science, College of Agricultural and Life Sciences, and School of Veterinary Medicine departments, as well as the School of Computer, Data, and Information Sciences; the College of Engineering; and several research centers on campus.
The incumbent will be part of the Cancer Informatics Shared Resource (CISR) within the Department of Biostatistics and Medical Informatics, which supports research within the University of Wisconsin Carbone Cancer Center (UWCCC). CISR supports scientists and clinicians in the processing and analysis of various next-generation sequencing, proteomic, metabolomic, imaging, and clinical data. Day-to-day operations will include analyzing data, organizing results, giving presentations of results to collaborators and colleagues, assisting with publication preparation, and grant writing for cancer-related research.
Responsibilities:
Identifies research problems, designs research methodologies, performs and supervises research, and prepares and presents results for presentation to professional organizations or for scholarly publications. May supervise staff.
10% Identifies research problems and develops highly complex research methodologies and procedures. Publishes and presents results to help advance research
45% Collects and analyzes highly complex research data, conducts experiments and interviews, and documents results according to established policies and procedures
15% Conducts literature reviews, prepares reports and materials and, disseminates information to appropriate entities
10% Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
10% Identifies, writes, or assists in developing grant opportunities, grant applications, and proposals to secure research funding
10% Serves as an institutional subject matter expert and liaison with key internal and external stakeholders providing expert level information and representing the interests of a specialized research area
Education:
Required
PhD
in statistics, computer sciences or related discipline.
Focus in bioinformatics, biostatistics, biomedical informatics, computational biology or a related field that includes biological sciences, statistics or computer sciences preferred.
Qualifications:
Experience Requirements:
*Minimum of two years of bioinformatics experience:post graduate work and/or professional experience.
*Must have working knowledge of bioinformatics computing, scripting languages, and biological data analysis applications. Significant experience in designing and implementing custom analysis pipelines for biological applications that include machine learning and/or statistical techniques.
*The ability to work independently as well as collaboratively and to interact positively with a diverse group of researchers and their research.
*Attention to detail and ability to attain project milestones on time, to handle multiple projects and assignments, and to resolve problems required.
*Excellent oral and written communication skills.
*Ability to stay current on new biological and bioinformatics methodologies.
* Experience in the data analysis of at least one of:
- Single-cell RNA-Seq
- Epigenetics (ChIP-Seq, CUT&RUN, CUT&Tag)
- Variant detection (SNV, copy number, and structural)
- Multi-omic integration
- Bulk RNA-Seq
- Proteomics
- Metabolomics
- Chromosome organization (4-C / Hi-C)
- Spatial scRNA-Seq or other -omics
Preferred Qualifications:
* Experience with
- The analysis of three or more of the above data types
- Image Analysis
- Flow cytometry
- Source control
- Data management
- Quality control of data, including batch correction
- R/Python
- Markdown/HTML
See "How to Apply" section at linked URL