Data Reporting and Analytics Consultant III Biostatistics

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;