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Junior Data Scientist - Center for Quantitative Drug and Disease Modeling

Titus Family Department of Clinical Pharmacy Los Angeles, California

The USC School of Pharmacy Center for Quantitative Drug and Disease Modeling is seeking applications for a Junior Data Scientist. The Junior Data Scientist is responsible for supporting the processing and management of data used for scientific research purposes for the USC’s School of Pharmacy, while supporting the implementation of clinical/preclinical CDISC-compliant data standards, as well as data interoperability activities. This position will work extensively with the data analysis team and support efforts that generate clinical and preclinical data in their projects. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing quantitative models, using/creating algorithms and creating/running simulations. The Junior Data Scientist will also assist with the design and implementation of databases, remap data per existing data standards and support the development of data sub-sets required by research plans.

Essential Job Duties and Responsibilities:

  • Establish project objectives, policies, procedures and performance standards within boundaries of the Center and School policies and any external regulations that may apply
  • Experience using statistical computer languages for data manipulation and management, as well as for drawing insights from large data sets
  • Experience working with and creating data architectures
  • Manage large dataset using MySQL, SQL or Oracle, including loading them to a database and actively participating in data analyses
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Support and collaborate with internal and external collaborations to ensure data delivery architecture is consistent throughout ongoing projects
  • Prepare database architecture documentation for the Center
  • Provide insight into the changing database storage and utilization requirements for the Center and offer suggestions for solutions
  • Work effectively with team members via in-person, teleconference and web meetings
  • Other duties and responsibilities may be assigned

Minimum Requirements:

  • Master’s degree in quantitative social/life sciences, Statistics, Health economics, mathematics, Business Analytics, Management of Health Information System or Medical Technology, Data/Computer Science, or related fields.
  • Or BA/BS degree with 5+ years’ hands-on experience in the related position
  • Proficient computer skills in Microsoft Office Suite
  • 2 or more years of experience with SAS, R, or Python coding
  • Analytic skills to conduct research and apply evidence in making decisions that serve the research interest
  • Ability to work independently on complex programming
  • Knowledge of project management discipline
  • Excellent verbal and written communications skills
  • Experience as Data Administrator in building tables, columns and data warehouse elements
  • A drive to learn and master new technologies and techniques

Preferred Experiences:

  • 1+ years' experience in industry (pharmaceutical, CRO, biotechnology, healthcare) preferred
  • 2 or more years of experience providing biostatistical and epidemiological consultation and support to investigators
  • Experience with large administrative databases, survey data, claims data, electronic health records data
  • Fluency with SQL and Relational Databases
  • Familiarity with CDISC data standards
  • Familiarity with data ontologies and data semantics
  • Experience in development of the Data Management Plan (DMP)
  • Knowledge or experience in Cloud based solution or Cloud environment development


  • Ability to understand and follow standard operating policies and procedure
  • Ability to prioritize and manage multiple tasks, changing priorities as necessary
  • Ability to work under time pressure and adapt to changing requirements with a positive attitude
  • Excellent interpersonal skills and problem solving/decision making skills
  • Proficient programming skills in SAS, R, Python or SQL
  • Good understanding of data infrastructure and distributed computing principles
  • Works well independently and in a team-oriented, collaborative environment
  • Travel on occasion for out of town meetings (max 3%)

Math Ability: Commensurate with Bachelor's degree with emphasis on review and analysis of data.

Reasoning Ability:

  • Exercise sound technical judgment when making decisions and adhere to external and internal policies and regulations
  • Ability to proactively address issues or challenges without being specifically directed
  • Use sound judgment when working with critical or confidential information

Minimum Education: Master’s degree or combined experience/education as substitute for minimum education

Minimum Experience: 1 year with a Master’s degree or 5 years combined education/experience as substitute for minimum experience

Preferred Education: Master's degree

Preferred Experience: 2+ years

Minimum Field of Expertise: Project Management, mathematics, Management of Health Information System or Medical Technology, Data/Computer Science, or related fields.  Experience with SAS, R, Python or SQL

Minimum Education: Master's degree Combined experience/education as substitute for minimum education Minimum Experience: 1 year Combined education/experience as substitute for minimum experience Preferred Education: Master's degree Preferred Experience: 2 years Minimum Field of Expertise: Experience in Biostatistics, Statistics or related field. Experience with SAS, R or STATA.

REQ20093573 Posted Date: 10/19/2020

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