UCSF - Internal

BIOINFORMATICS PROGR 1


PayCompetitive
LocationRemote
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 73138BR

      Note: This is 1 year contract that offers full benefits (including medical, dental, vision along with retirement & pension plans).

      Under direct supervision, will analyze clinical datasets (with an emphasis on structured and unstructured data in electronic health records systems) to support clinical epidemiology research project. Will write queries of relational databases, develop analytic scripts utilizing biostatistical and machine learning models, apply epidemiologic principles, and self-educate on a variety clinical research domains pertaining to different ongoing projects. The candidate will be responsible for reporting results in oral and written formats.

      To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (ucop.edu)

      Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

      For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

      To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

      • Unix/Linux OS and shell scripting, Python, java, c++, Rstudio, Zepplin, Jupyter, iPython, Hadoop, Spark, Hive, AWS Redshift, RedHat, CentOS, Obuntu Linux.
      • Basic knowledge of applications programming, web development and data structures.
      • Ability to communicate technical information in a clear and concise manner.
      • Experience with database management systems; Demonstrated ability to work on multiple tasks
      • Experience analyzing data on the order of tens of thousands of records. Strong database and big data structure design and querying.
      The Institute for Computational Health Sciences is a critical component of a global UCSF initiative in Precision Medicine, which seeks to aggregate and integrate vast, disparate datasets to advance understanding of biological processes, determine mechanisms of disease, and inform diagnosis and treatment of patients. Beginning with a base of excellent computational faculty dispersed among our four top-ranked professional schools (Dentistry, Medicine, Nursing and Pharmacy) and Graduate Division, superb research programs and outstanding Medical Center, ICHS will establish a central convening center, hire additional faculty, and build programs for research and education. ICHS will develop and enhance UCSF’s computational approaches and strategies in basic, translational, clinical and population-based biomedical research, working with partners in industry and academia where appropriate. It will be a campus hub for computer scientists and for researchers who employ computation as a primary tool in their biomedical research.
      • Bachelor’s degree in biomedical computation or related area
      • 0-1 years relevant work experience
      • Experience performing biostatistical and machine learning modeling, including with text processing.
      • Experience querying relational databases
      • Basic knowledge of biology and epidemiology at the college level.
      • Unix/Linux OS and shell scripting, Python, java, c++, Rstudio, Zepplin, Jupyter, iPython, Hadoop, Spark, Hive, AWS Redshift, RedHat, CentOS, Obuntu Linux.
      • Basic knowledge of applications programming, web development and data structures.
      • Ability to communicate technical information in a clear and concise manner.
      • Experience with database management systems; Demonstrated ability to work on multiple tasks
      • Experience analyzing data on the order of tens of thousands of records. Strong database and big data structure design and querying.
      The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

      In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

      Join us to find a rewarding career contributing to improving healthcare worldwide. The University of California San Francisco 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, age, protected veteran or disabled status, or genetic information.
  • About the company

      The University of California, San Francisco (UCSF) is a public land-grant research university in San Francisco, California. It is part of the University of California system and it is dedicated entirely to health science. It is a major center of medical and biological research and teaching.