Bioinformatics and Data Science Resource - Hybrid - 132297
Job Description
#132297 Bioinformatics and Data Science Resource - Hybrid
Filing Deadline: Thu 10/3/2024UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.
UCSD Layoff from Career Appointment: Apply by 9/23/24 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 10/03/24. Eligible Special Selection clients should contact their Disability Counselor for assistance.
DESCRIPTION
The Department of Medicine is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego and employs 500+ full-time salaried faculty members and 150+ academic appointees. Staff personnel include 800+ staff in 9 bargaining units, students, and volunteers. There are over 250 clinical faculties practicing at multiple sites and hospitals.
Under general supervision of the PI, the incumbent will perform programming and/or assist in design and analysis of systems to decipher the role of genetic variation on human traits. Projects will focus on investigation of structurally complex regions of the genome associated with human diseases using a variety of techniques including graph-based genome representations. The incumbent will be responsible for maintaining computational pipelines for processing, analyzing, and visualizing large volumes of whole genome sequence data and analysis of large biobanks. Pipelines will consist of open source as well as custom software. The incumbent will also develop and maintain web applications and assist in packaging custom software as open source tools. Finally, the incumbent will occasionally be required to coordinate with an international team of scientists to develop data acquisition, analysis, and visualization strategies.
Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently.
MINIMUM QUALIFICATIONS
Seven years of related experience, education/training, OR a Bachelor's degree in related area plus three years of related experience/training.
Thorough knowledge of bioinformatics methods, applications programming, web development and data structures.
Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. Demonstrated interpersonal, written and verbal communication skills and ability to interact effectively and tactfully withindividuals and groups, both within and outside the university.
Demonstrated experience using Github or a related platform for code maintenance and collaboration.
Thorough knowledge of bioinformatics programming design, modification and implementation. Demonstrated programming skills in C/C++, Python, R with the ability to work comfortably in a Linux environment.
Understanding of relational databases, web interfaces, and operating systems.
Strong project management skills.
Thorough knowledge of modern biology and applicable field of research.
Ability to communicate technical information in a clear and concise manner.
Ability to interface with management on a regular basis.
Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills.
Thorough knowledge of web, application and data security concepts and methods. Demonstrated understanding of network computer operating system configurations, and experience with managingcross platform network communications and protocols, computer systems analysis and debugging methods, and current techniques for troubleshooting applications and system problems, including general knowledge of data structures, memory management, file systems, and database management techniques.
Demonstrated ability to maintain high level of confidentiality in handling files and data and clear understanding of the Universities data privacy and acceptable use policies and procedures.
Demonstrated ability to work comfortably in cloud computing environments, such as Amazon Web Resources.
Demonstrated experience in virtual machines and designing and creating web applications in HTML, CSS, and Javascript.
Demonstrated experience with HPC, including job submission and resource management.
PREFERRED QUALIFICATIONS
- Understanding of whole genome sequencing using various technologies (e.g. short and long reads).
SPECIAL CONDITIONS
- Employment is subject to a criminal background check.
Pay Transparency Act
Annual Full Pay Range: $94,400 - $176,800 (will be prorated if the appointment percentage is less than 100%)
Hourly Equivalent: $45.21 - $84.67
Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).
If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable.
UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team!
Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.
To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community.
UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20
For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination
UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.
UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.
Application Instructions
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