Skip to main content

Data Reporting and Analytics Consultant III, Biostatistics

Primary Location Oakland, California Job Number 1209972 Date posted 11/29/2023
Submit Interest

Navigating the Hiring Process

We're here to support you!

Having trouble with your account or have questions on the hiring process?

Please visit the FAQ page on our website for assistance.

Need help with your computer and browser settings?

Please visit the Technical Information page for assistance or reach out to the web manager at

Do you need a reasonable accommodation due to a disability?

A reasonable accommodation is any modification or adjustment that enables you to fully participate in completing the following:

  • Online Submissions
  • Pre-Hire Assessments
  • Interview Process

Please submit your accommodation request and an HR Representative will contact you.


The Data Reporting and Analytics Consultant will work in the Research Program on Genes, Environment

and Health (RPGEH) at the Kaiser Permanente Division of Research (KP-DOR).  RPGEH scientists at KP-DOR

conduct NIH-funded epidemiological research in conjunction with the Kaiser Permanente Research Bank (KPRB),

a biobank with 400,000 KP adult participants with linked genomic, EHR, and survey data.  RPGEH also works

to facilitate access to the KPRB by scientists outside KP through the provision of preliminary data and provision

of deidentified data to access-approved researchers.  RPGEH scientists focus on a broad range of research topics,

including pharmacogenetics, genetic and nongenetic factors affecting psychiatric and neurological disorders,

vision disorders, cancers and cancer risk factors, cardiovascular disease and risk factors, and other conditions.

The incumbent will work with RPGEH and other investigators on analytical projects using EHR and genomic data

and will be required to prepare preliminary data and de-identified analytical datasets for research projects.

Additional duties involve organizing, managing, and documenting the data resources of the program.

Candidates are expected to have a working proficiency in SAS and SQL environments. Prior experience working

on Unix-like environments and HPC systems, as well as having a familiarity with shell scripts and R/Python

environments will be beneficial. Preference will be given to candidates with prior experience handling large scale

datasets, particularly genomic data from whole genome SNP microarrays, exome, and whole genome sequence

data.  Preference will also be given to candidates with background and training in biostatistics and epidemiology.

Essential Responsibilities:

  • Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.

  • Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.

  • Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.

  • Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

  • Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.

  • Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.

  • Supports data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.

  • Supports the execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.

Minimum Qualifications:

  • Minimum one (1) year statistical modeling experience using SAS, R, or another advanced statistical package.

  • Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum three (3) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

Additional Requirements:

  • Knowledge, Skills, and Abilities (KSAs): Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Internal or External Publication; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning

Preferred Qualifications:
  • Two (2) years experience working with SAS.
  • Two (2) years statistical modeling experience.
  • One (1) year experience delivering presentations to management.
  • One (1) year health care experience.
  • Two (2) years relational database experience.
  • Two (2) years complex event modeling experience.
  • Two (2) years experience working with Open Source Tools (e g , R, Python).
  • Two (2) years study design experience.
  • Two (2) years experience working with data extraction and manipulation language.
  • Two (2) years machine learning experience.
  • Two (2) years programming experience.
  • Two (2) years text analytics experience.
  • Two (2) years experience working with statistical analysis software.
  • Two (2) years experience working with Excel.
  • Two (2) years experience working with Access.
  • Two (2) years data simulation experience.
  • Two (2) years deep learning experience.
  • Two (2) years experience working with SQL.
  • Two (2) years experience working with data visualization tools.
Primary Location: California,Oakland,2000 Broadway Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:30 AM Working Hours End: 05:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Data Analytics & Reporting Department: Oakland Reg - 2000 Broadway - RI Medical Records_Recharge - 0201 Pay Range: $96800 - $125290 / year The ranges posted above reflect the location in the job posting. The salary range may vary if you reside in a different location or state than the location posted. Travel: No At Kaiser Permanente, equity, inclusion and diversity are inextricably linked to our mission, and we aim to make it a part of everything we do. We know that having a diverse and inclusive workforce makes Kaiser Permanente a better place to receive health care, a more supportive partner in our communities we serve, and a more fulfilling place to work. Working at Kaiser Permanente means that you agree to and abide by our commitment to equity and our expectation that we all work together to create an inclusive work environment focused on a sense of belonging and wellbeing.

Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status. Submit Interest