Bioinformatics Programmer - 118804
#118804 Bioinformatics ProgrammerInitial Review Date: Tue 9/27/2022
UC 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.
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UCSD Layoff from Career Appointment: Apply by 09/22/2022 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 10/03/2022. Eligible Special Selection clients should contact their Disability Counselor for assistance.
Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies.The goals of the Department of Biomedical Informatics are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research.
This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner.
Shows high degree of independence to execute moderately complex tasks involving storage and analysis of physiological data, interpretation of the results, and preparation of manuscripts. Effectively operates and communicates in teams of size 5-10 to achieve common goals, and follows principles of project management such as working in working in Sprints, applying change management and risk management, and communicating bottlenecks and results on a timely fashion.
Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives.
Six years of related experience, education/training, OR a Bachelor’s degree in related area plus two years of related experience/training.
Working knowledge of bioinformatics methods and data structures. Knowledge of bioinformatics methods, applications programming, web development and data structures. Experience with Python, MATLAB, C.
Familiarity with Deep Learning and Machine Learning Libraries such as TensorFlow and PyTorch.
Thorough knowledge of signal processing and timeseries analysis as applied to longitudinal recordings from wearable sensors.
Working knowledge of applications programming and web development. Html, css, PHP, web APIs.
Working knowledge of databases. Mysql, database management.
Working project management skills. Agile, Sprints
Working knowledge of modern biology and applicable field of research.
Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
Ability to communicate technical information in a clear and concise manner.
Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.
Working knowledge of application and data security concepts. HIPAA regulations, cybersecurity safety protocols
Working knowledge of modern biology and applicable field of research.
Ability to interface with management on a regular basis.
Working knowledge of web, application and data security concepts and methods.
Familiarity with cloud computing (GCP, AWS) and scalable and fault-tolerant data management and computing.
Experience with programming tools and technologies including Hidden Markov Model Toolkit (HTK).
Demonstrated experience in Predictive analytics in Healthcare, Applied Deep Learning, AWS Cloud - ML Engine, Streaming analytics, Signal Processing, and Multivariate time series.
Master's degree in biological science, computational / programming.
- Employment is subject to a criminal background check.
Pay Transparency Act Full Salary Range: $59,700 - $124,300 Annually
The University of California, San Diego is required to provide a reasonable estimate of the compensation range for this role. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. The full salary range for this position is defined as the Full Pay Range. The budgeted salary or hourly range that the University reasonably expects to pay for this position defined as the Expected Pay Scale. Placement within the Expected Pay Scale is determined by internal equity, relevant qualifications, and collective bargaining agreements (when applicable).
Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).
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!
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