Data Scientist- infectious disease research

University of California

Exciting opportunity to work with EPPIcenter (eppicenter.ucsf.edu) multidisciplinary infectious disease research group in San Francisco. The EPPIcenter is a dynamic team leading international field studies in Africa and Latin America, cutting edge laboratory experiments generating highly dimensional data, and computational analysis synthesizing these data for research, training, and public health goals. We are based at Zuckerberg San Francisco General Hospital in the Division of HIV, Infectious Diseases, and Global Medicine at UCSF, with numerous regional and international partners.

You will be a data specialist for the research group, with responsibilities spanning data data collection, organization, and analyses with responsibilities for building and maintaining data systems. These will include:

  • Working with international field teams (primarily remotely) to collect, store, and process data including QC for multiple studies
  • Building and maintaining database infrastructure to track biological samples linked to metadata and derived experimental data across multiple studies
  • Organize, store, and curate highly dimensional data sets including genomic and immunologic data generated locally and potentially with international partners, including alignment with public repositories for dissemination

There is a strong social-justice component to this job – your work will be directly contributing to projects that impact millions of people. You will be working with a leading team within the Infectious Disease field that push the boundaries and have high expectations of everyone on board. No understanding of infectious diseases is necessary.

Department Description

ABOUT DIVISION OF HIV, INFECTIOUS DISEASES AND GLOBAL MEDICINE The Division of HIV, Infectious Diseases and Global Medicine at the University of California, San Francisco (UCSF) is an internationally recognized global leader in clinical care, research, and education. With its home base located at Zuckerberg San Francisco General Hospital (ZSFG), the Division has been ranked as the top facility in the country for AIDS care for over a decade. The Division’s work is featured frequently in the media, and it is often visited by international, national, state, and local dignitaries and delegations. The Division consists of approximately 36 faculty members and 170 academic and staff employees. It is the largest Division of the Department of Medicine (DOM) at ZSFG, with a total expenditure budget of approximately $45 million dollars.

The EPPIcenter aims to advance the understanding of infectious diseases to reduce global morbidity and mortality. We believe that the greatest success in the fight against infectious diseases will come through a highly interdisciplinary, systems epidemiology approach, connecting theoretical work, tech development, generation and collection of empiric data, and analysis using statistical and mathematical modeling. https://eppicenter.ucsf.edu/research-project/research

Required Qualifications

  • Bachelor’s degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.
  • Minimum 3+ years of related experience
  • Intermediate or greater knowledge and experience with relational databases and data servers.
  • Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
  • Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions.
  • Proven ability to successfully work on multiple concurrent projects.
  • Thorough experience working in a complex computing/ data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
  • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
  • Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles.
  • Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
  • Demonstrated ability to regularly interface with management.
  • Intermediate knowledge of HPC / data science / CI.

Preferred Qualifications

  • Familiarity with ontology of biologic data including immunology and genomic data
  • Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.
  • Demonstrated ability to contribute research and technical content to grant proposals.
  • Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools.

About UCSF

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.

How to apply

https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=6495&siteid=5861&PageType=JobDetails&jobid=3322835

https://eppicenter.ucsf.edu


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