Researcher I

The Zhao laboratory focuses on translating high-throughput molecular data into biological insights and clinical biomarkers for cancer. We primarily generate and analyze NGS data from cancer samples. You will be responsible for designing and executing complex integrated computational research projects. This will include creating and maintaining computational pipelines for a wide variety of NGS data, as well as downstream analysis. You will also work closely with lab members on a variety of exciting and high-impact projects and will have the freedom and autonomy to lead independent research projects. In addition, you will have the opportunity to work with and learn from a multi-disciplinary group of collaborators including clinicians, laboratory scientists, bio-informaticians, and bio-statisticians from around the country to grow your network and skillset. We look forward to working together with you to improve outcomes for patients with cancer.

• 60% Collects and analyzes basic 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 and assists with publications
• 5% Trains individuals and groups on equipment operations, research protocols, and techniques within a specialized laboratory or research area
• 10% Assists with the development of research methodologies and procedures
• 5% Identifies concerns and recommends solutions to leadership
• 5% Assists in developing grant applications and proposals to secure research funding

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The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Required
Bachelor's Degree
in bioinformatics or related field.

Preferred
Master's Degree
in bioinformatics or related field.

Required Qualifications:
- If Bachelors degree, at least 1 year bioinformatics work experience.
- Experience in R, Python, and Linux command line.
- Experience in processing Next-gen sequencing data.
- Basic background in statistics (e.g. standard statistical tests, simple regression models).

Preferred Qualifications:
- Publications relevant to omics data analysis.
- Experience with DNA sequencing processing pipelines & data analysis.
- Experience with RNAseq processing pipelines & data analysis.
- Experience with microarray processing pipelines & data analysis.
- Experience with ChIP-seq processing pipelines & data analysis.
- Experience with methylation data analysis.
- Experience with clinical data analysis.
- Experience with public databases such as TCGA, CCLE, GDSC, Depmap, etc.
- Experience with classical machine learning algorithms.

Desired Attributes:
- Demonstrated ability to work collaboratively and in a team-oriented environment.
- Evidence of strong organizational and professional writing skills.
- Ability to prioritize multiple tasks and assignments.
- Excellent written and oral communication and public presentation skills.
- Attention to detail.

Full or Part Time: 80% - 100%

This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Ongoing/Renewable

Minimum $55,000 ANNUAL (12 months)
Depending on Qualifications
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at: (https://hr.wisc.edu/benefits/).

SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0)

The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. University sponsorship is not available for this position.

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV, a cover letter briefly describing your qualifications relevant to the position, and a document listing contact information for three (3) references, including your current/most recent supervisor. References will not be contacted without prior notice.

Kirsten Gragg
kgragg@wisc.edu
608-265-3357
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Researcher I(RE040)

A53-MEDICAL SCHOOL/HUMAN ONCOLOGY/HUMAN ONCO

Academic Staff-Renewable

315978-AS