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.
SMPH is committed to being a diverse, equitable, inclusive and anti-racist workplace and is an Equal Employment Opportunity, Affirmative Action employer. Applications from Black, Indigenous and People of Color (BIPOC) individuals, LGBTQ+ and non-binary identities, women, persons with disabilities, military service members and veterans are strongly encouraged.
||Provides technical expertise to fundamental and/or applied scientific research under the direction of senior research personnel or faculty.
- 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
|Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
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
Bachelor's Degree in bioinformatics or related field.
Master's Degree in bioinformatics or related field.
- 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).
- 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.
- 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.
UW-Madison continues to follow necessary health and safety protocols to protect our campus from COVID-19. All employees remain subject to the COVID-19 Workplace Safety Policy: https://policy.wisc.edu/library/UW-5086. Please visit https://covidresponse.wisc.edu for the most up-to-date information.
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.
|Appointment Type, Duration:
Minimum $55,000 ANNUAL (12 months)
Depending on Qualifications
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.
|How to Apply:
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.
Relay Access (WTRS): 7-1-1 (out-of-state: TTY: 800.947.3529, STS: 800.833.7637) and above Phone number (See RELAY_SERVICE for further information. )