111958 - Bioinformatics Scientist
#111958 Bioinformatics ScientistExtended Deadline: Wed 12/1/2021
For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy
UCSD Layoff from Career Appointment: Apply by 09/30/21 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 10/11/21. Eligible Special Selection clients should contact their Disability Counselor for assistance.
- This position is open until filled. First Review Date 10/11/21.
The Wang lab is interested in studying epigenomic regulation from molecular level to systems level. Our lab consists of both computational and experimental experts. Our approach is highly interdisciplinary. We have also collaborated closely with various labs and clinical scientists specialized in immune cell specialization and autoimmune diseases. We welcome creative minds from any background to join us.
Under the direction of the PI, the bioinformatics scientist will combine expertise in bioinformatics, research programming and scientific computing to make independent, original contributions to the design and implementation of research studies from the following but not limited to: 1) Develop effective, efficient, and extensible algorithms and scientific software packages and tools to prepare, perform, and analyze multi scale genomic and epigenomic analyses, such as bulk and single cell RNA-seq, ATAC-seq, CUT&TAG, DNA methylation and Hi-C data. 2) Utilize machine learning, deep learning, network analysis and statistics using the leverage of computational power in order to address questions of a biological and medical nature, particularly as pertains to the rheumatoid arthritis and other autoimmune diseases. 3) Maintain, support, and contribute to new and existing scientific software to promote its widespread applicability and usage in the scientific community, which will include the implementation of good programming practices such as clean, readable, extensible, and well-documented code, extensive testing, and continuous integration.
Occasional evenings and weekends may be required.
Must be willing to work with hazardous materials.
Thorough knowledge of genomic and epigenomic bioinformatics, computational, genomic, and mathematical methods, and scientific/research applications programming. Ability to work independently with software programs such as GATK, STAR and/or Seurat.
Thorough knowledge of bioinformatics programming design, modification and implementation. Demonstrated programming skills in python, R, C, CUDA, or other commonly used languages. Experience with Haskell is a plus.
Extensive experience and understanding of machine learning and deep learning.
Understanding of relational databases, web interfaces, and operating systems. Proven experience with analyzing bulk and single cell genomic and epigenomic data such as RNA-seq, ATAC-seq and Hi-C data.
Strong project management skills. Strong decision making skills and ability to use independent judgment and discretion to quickly set priorities and establish new procedures when needed. Demonstrated ability to research, analyze, recommend, communicate, and implement solutions. Must be able to function successfully with minimal direction.
Extensive expertise with analyzing sequencing data from mapping, normalization to high-level analysis. Advanced familiarity with theoretical chemistry acquired through Bachelor's degree in chemistry/biochemistry or related field or an equivalent combination of education and experience. PhD in chemistry, bioinformatics, computational biology or related field preferred.
Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. Ability to communicate effectively one-on-one or in group settings, taking into account differences in social, cultural, professional, and educational backgrounds. Ability to follow verbal and written instructions and procedures.
Thorough knowledge of web, application and data security concepts and methods.
Proven experience generating data reports and data algorithms to generate, abstract, manipulate and analyze complex data types. Ability to research, comprehend, gather and organize information to produce clean and concise reports and presentations.
Demonstrated experience analyzing NGS data. Experience in analyzing high throughput imaging data is a plus.
Enthusiasm and ability to work in a dynamic "start-up" atmosphere similar to what might be found in the biotechnology sector, yet within a vibrant academic research University.
Proficiency with computer hardware and software including different operating system environments (such as Windows, Linux and Mac). Proven ability to update skills and knowledge as needed.
Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html
UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.