Applications Progr 2 - Los Angeles, United States - The Regents of the University of California on behalf of their Los Angeles Campus

Mark Lane

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Mark Lane

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Description

Special Instructions for Applicants:

Department Summary:
The Health Economics and Evaluation Research (HEER) Program.

We evaluate local, state, and national health care programs, policies, and initiatives through our CalSIM microsimulation models, we examine trends in health insurance coverage and track the impact of the ACA on all Californians.


Position Summary:


The UCLA Center for Health Policy Research (CHPR) is one of the nation's leading health policy research centers and the premier source of health policy information for California.

Center has pioneered ways to democratize data and put it into the hands of the public in ways that inform, educate, and create change.

At the heart of our work lies a profound understanding that health is a fundamental right that should be accessible to all.

We work to understand how social drivers of health impact access to and quality of care, and influence health outcomes.

We reveal health inequities among racial and ethnic groups, immigrants, older adults, LGBTQ+ communities, adults with disabilities, people with low incomes, and other underserved communities.

We disaggregate data for communities who have long been made invisible, including Native Hawaiians and Pacific Islanders, American Indians and Alaska Natives, and various racial and ethnic subgroups.

We develop community-centered data dashboards and we train community organizations, policymakers, media, and the general public on how to find and use our data.


Salary & Compensation:
*UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits.


Qualifications:

  • Experience developing new modules to add new functionalities corresponding to different policy scenarios & to improve the existing modules in Python for computational performance & reproducibility. (required)
  • Experience with optimization techniques, including parallel programming. C/C++ or Fortran in Windows and Linux environments. (preferred)
  • Experience with Awk/PERL scripting with regular expressions for processing text files. SQL and data management experience for data management. (preferred)
  • R or SAS programming language experience for data management. Experience in writing unit testcode using Python module unit test. (preferred)
  • Detailed knowledge of Python in Windows and/or Linux/Unix environment. (required)
  • Scientific/Numerical programming, such as experience in using Numpy and Pandas packages in Python and/or experience with Matlab. (required)
  • Detailed knowledge in version control (GIT) for managing and sharing team project. (required)
  • Detail oriented with strong organizational and analytical problemsolving skills. (required)
  • Strong communication skills is required to work with other team members, including statisticians and policy analysts, on site and off site. (required)
  • Ability to response promptly to fulfill multiple tasks and requests from various sources. (required)
  • Knowledge of microsimulation. (preferred)

Education, Licenses, Certifications, & Professional Affiliations:

  • Bachelor's Degree Computer Science or related field. (required)

Special Conditions of Employment:


  • Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.
  • Live Scan

Background Check:
A Live Scan background check must be completed prior to the start of employment.

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