Unfortunately, this job posting is expired.
Don't worry, we can still help! Below, please find related information to help you with your job search.
Some similar recruitments
Registered Nurse (Experienced Rn) - 1G Urology Clinic - 4/10 Hour Shifts - Durham
Recruited by Duke Health 9 months ago Address , Durham, 27710
Researcher 2 Jobs
Recruited by University of Minnesota 9 months ago Address , Minneapolis
Researcher 5- Frisbie Group
Recruited by University of Minnesota 9 months ago Address , Minneapolis
Researcher 5 (Biostatistician) Jobs
Recruited by University of Minnesota 9 months ago Address , Minneapolis $80,000 - $90,000 a year
Instrument Technician - 3146 Jobs
Recruited by National Aerospace Solutions 11 months ago Address , Arnold Afb, 37389, Tn $33.02 an hour
Researcher 1 Jobs
Recruited by University of Minnesota 11 months ago Address , Minneapolis, Mn
Physician Assistant - Rhrp
Recruited by DOCS Health 1 year ago Address , , Pr
Outcome Data Analyst (9742R5 - Researcher 5)
Recruited by University of Minnesota 1 year ago Address , Minneapolis, Mn
Pediatric Urology App (Nurse Practitioner/Physician Assistant)
Recruited by University of Colorado 1 year ago Address , Aurora, Co $103,958 - $145,059 a year
Licensed Vocational Nurse Ii, Urology, Burlingame
Recruited by Sutter Health 1 year ago Address , Burlingame, 94010, Ca $38.56 - $50.12 an hour
Ux Researcher Jobs
Recruited by Simpson Strong-Tie 1 year ago Address , Pleasanton, 94588, Ca $93,600 - $121,700 a year

Researcher 5-Urology Jobs

Company

University of Minnesota

Address , Minneapolis, Mn
Employment type FULL_TIME
Salary
Expires 2023-06-25
Posted at 1 year ago
Job Description
Required Qualifications:
1. Master's degree in computer science, bioinformatics, or computational biology or related field with 1 or more years of research training.
2. Experience developing algorithms and proficiency in coding (C/C++, Python, JAVA, SQL or equivalent).
3. Experience in machine learning (AI) and database mining.
4. Excellent oral and written communication skills in English.
Prior knowledge of computational bioinformatics or cancer biology is a plus. Software development experience is desirable but not required.
About the Job/Lab
A Researcher 5 scientist focuses on using computational bioinformatics to study cancer is available within the lab in Department of Urology at The University of Minnesota Medical School and Masonic Cancer Center. The Deng lab focuses on studying whether and how the genetic changes identified in cancer patients contribute to tumor initiation, progression and metastasis using genetic engineered mouse models; discovering novel small molecular compounds that selectively target human cancer cells while sparing normal cells; and mechanism-based repurposing FDA-approved drugs for cancer therapy. We have been utilizing multiple approaches including genome editing technology (CRISPR-Cas9), X-ray crystallography and Cryo-EM, and computational bioinformatics to functionally and structurally understand how normal cells become cancerous cells and how to effectively block the process. We have established a strong collaborative team that brings together expertise from the areas of cancer biology, medicinal chemistry, structural biology, pathology, and preclinical genetic mouse models to practical therapeutic studies aiming to identify the Achilles’ heel of cancers that can serve as a means to selectively and effectively kill tumor cells. The Deng lab is well founded by NCI/NIH, and our scientific findings/discoveries have been published in peer-reviewed journals such as PNAS, Genes & Dev, EMBO J, Cell, Nature, Nature Reviews Cancer, Cell Reports, EBioMedicine, Nature Columniations and Nature Cell Biology.
Job Responsibilities
The ideal candidate will have formal training and experiences in developing algorithms, machine learning (AI), and database mining. Projects may include:
Utilizing Alpha Fold and/or RoseTTA Fold and developing computational algorithms to deduce structure of oncoprotein complex; Protein structure-based computational drug screening and design; Computational drug repurposing for currently incurable cancers, such as castration-resistant prostate cancer.
Combined analysis of data from public repositories such as The Cancer Genome Atlas project (TCGA), Genotype-Tissue EXpression (GTEx), and Cancer Cell Line Encyclopedia (CCLE), DepMap, Genomics of Drug Sensitivity in Cancer with data generated in-lab using cancer cell lines and genetic mouse models.
Develop and apply computational methods to analyze omics data (transcriptomics, proteomics, metabolomics) from publicly available datasets and in-lab generated data.
Contribute to clinical and scientific reports, grants, progress reports, publications, and presentations at scientific conferences.
Job Duties Efforts
80% Within the predetermined research scope and methodology, design and conduct computational bioinformatics analysis, collect and analyze data, and disseminate results in accordance with the research goals of the lab.
10% Assist with training other lab members in specialized computer techniques and with the development and implementation of computational related-lab experiments.
10% Other duties as assigned including, but not limited to, assisting the PI with research-related or administrative tasks, and attending and presenting at scientific conferences.
To learn more about the Department of Urology please visit: https://med.umn.edu/urology
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.
This position will remain open until filled.
To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-UOHR (8647).
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
Please note: All employees at the University of Minnesota are required to comply with the University’s Administrative Policy: COVID-19 Vaccination and Safety Protocol by either providing proof of being fully vaccinated on their first day of employment, or complete a request for an exemption for medical exemption or religious reasons. To learn more please visit: https://safe-campus.umn.edu/return-campus/get-the-vax
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.