Description
JOB POSTING
NO VISA SPONSORSHIP AVAILABLE FOR THIS POSITION
Applicants must have current work authorization when accepting a Genomics Institute staff position. We are unable to sponsor or take over sponsorship of an employment Visa for staff.
HOW TO APPLY
For full consideration, applicants should attach their resume and cover letter when applying for a job opening. For guidance related to the application process or if you are experiencing difficulties when applying, please review the Applicant Resources on our Talent Acquisition website.
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INITIAL REVIEW DATE (IRD)
Application materials submitted by 11:59 pm on the IRD will be routed to the hiring unit for consideration. Materials submitted after the IRD will ONLY be forwarded at the request of the hiring unit. To ensure your application is routed for consideration, submit your materials before 11:59 p.m. on the IRD. Talent Acquisition cannot accept application materials outside of the jobs portal, and is unable to update submitted applications on an applicant's behalf, or forward communications to the hiring units. For more information about the IRD and the applicant review process, view this link.
The IRD for this job is: 07-10-2024
ABOUT UC SANTA CRUZ
UC Santa Cruz is a public university like no other in California, combining the experience of a small, liberal arts college with the depth and rigor of a major research university. It's known as an unconventional place where innovation and experimentation is part of the campus's DNA. That playful, bold spirit still thrives today, all on a campus renowned as among the most beautiful in the world.
DEPARTMENT OVERVIEW
The Baskin School of Engineering at UC Santa Cruz is unique among public engineering schools. Founded in 1997, in the age of the internet, the Baskin Engineering community is deeply committed to addressing the most important engineering challenges posed by our modern world. Faculty and students pursue novel, visionary research guided by a mission to create positive societal impact. Through future-looking programs of study and opportunities to engage in collaborative research across campus and with industry partners in Santa Cruz and nearby Silicon Valley, Baskin engineers are developing meaningful innovations that improve the lives of people and the health of our planet.
In addition to the scenic residential campus in Santa Cruz, the Westside Research Park hosts genomics and electrical and computer engineering labs and interdisciplinary research. Our Silicon Valley campus is home to faculty, graduate students, and professional master's programs with deep connections to this world renowned hub for research and innovation.
We champion new ideas, foster collaboration, and uphold the UCSC Principles of Community.
The Genomics Institute (GI), an Organized Research Unit located within the Baskin School of Engineering, with faculty from several divisions on campus, leads UC Santa Cruz's efforts to unlock the world's genomic data and accelerate breakthroughs in health and evolutionary biology. With the theme of Genomics for Everybody, GI platforms, technologies, and researchers unite global communities to create and deploy data-driven, life-saving treatments and innovative environmental and conservation efforts, while addressing the most fundamental societal and policy questions. The Genomics Institute is committed to broadening participation in this endeavor, and bringing the benefits of genomics to the widest range of world populations and ecosystems.
The Genomics Institute operating budget is currently $31M per year, comprising $26M in sponsored funds from federal, state and private sources and $4.7M in gifts and institutional funding, and is on a trajectory of increasing activity, partnerships and extramural funding.
More information about Baskin Engineering can be found at: https://engineering.ucsc.edu/
More information about the Genomics Institute can be found at: https://genomics.ucsc.edu/
JOB SUMMARY
As the ML/AI Bioinformatics Pipeline Programmer 2, your primary responsibility is to develop, modify and deploy AI powered bioinformatic analysis and computation pipelines. You'll collaborate with a range of scientists with both wet and dry lab backgrounds requiring an understanding of the data you'll be using, its potential and limits. Working both independently and as part of a team, you'll evaluate multiple approaches, communicate your findings to the broader research group and PIs to identify leading computational candidates. You'll then implement and deploy these candidates to support an associated research program. Finally, you'll evaluate their effectiveness in general and against specific sources of bioinformatic data.
APPOINTMENT INFORMATION
Budgeted Salary: $35.58 - $38.31/hour. Salary commensurate with skills, qualifications and experience.
Under California law, the University of California, Santa Cruz is required to post a reasonable estimate of the compensation for this role. The salary shown above is the budgeted amount the University reasonably expects to pay and the salary extended should not exceed this posted amount.
Benefits Level Eligibility: Full benefits
Schedule Information:
- Full-time, Fixed
- Percentage of Time: 100%, 40 Hours per Week
- Days of the Week: Mon-Fri
- Shift Includes: Day
Employee Classification: Contract appointment
Job End Date: 1 year from hire date, with possibility of extension
Work Location: UC Santa Cruz Main Campus
Union Representation: Non-Represented
Job Code Classification: 009402 (BIOINFORMATICS PROGR 2)
Travel: Never or Rarely
JOB DUTIES
25% - Data Aggregation & Analysis
- Aggregate large scale multi-modal bioinformatic datasets into cloud storage systems.
- Analyze data for quality and transform for use in bioinformatic and AI pipelines.
25% - Apply AI to Biology
- Research, select, implement and iterate AI algorithms to multi-modal bioinformatic data sets.
25% - Cloud Deployment
- Package pipelines into cloud ready formats and deploy into heterogeneous cloud environments for compute on large scale datasets.
25% - Document and Publish
- Document the resulting pipelines with particular emphasis to the computation as implemented to support publications by PIs.
REQUIRED QUALIFICATIONS
- Bachelor's degree in related area and / or equivalent experience / training.
- Experience designing, developing, testing and validating ML/AI driven bioinformatics pipelines.
- Experience deploying large scale computational pipelines into distributed compute infrastructure.
- Experience applying and adapting ML/AI methods to bioinformatic data sources.
- Experience with scRNASeq datasets and adapting for use in ML/AI training and inference.
- Experience with cloud platform technologies including docker, s3 and kubernetes.
- Experience applying and adapting dimensionality reduction techniques to image, time series and categorical datasets.
- Demonstrated ability to adapt published ML or AI algorithms from non-biological domains to biological domains.
- Experience working in a multidisciplinary research group supporting both computational and non-computational researchers.
PREFERRED QUALIFICATIONS
- Academic track record of publishing ML or AI models applied to biological data (articles in press are acceptable).
SPECIAL CONDITIONS OF EMPLOYMENT
- Selected candidate will be required to pass a pre-employment criminal history background check.
- Ability to work long periods of time at a computer with or without accommodation.
- The selected candidate will be required to work a hybrid work schedule and must be able to work successfully from a home/remote office and fulfill the requirements of the UCSC telecommuting agreement.
- Selected candidate will be required to complete training within established time frames as directed including UC compliance training.
- The University of California has implemented a Vaccination Policy covering all employees. Employees, including new hires, are required to comply with any applicable policies relating to the University of California vaccine program.
SAFETY STATEMENT
All UCSC employees must understand and follow job safety procedures, attend required health and safety training, proactively promote safety at work, and promptly report actual and potential accidents and injuries.
EEO/AA
The University of California is an Equal Employment 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. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees.
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
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