Kaiser Permanente Data Consultant - Genomic Analysis, R, Epidemiology, Bio-statistics in Oakland, California
Under general supervision, this position exists to assist the organization in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing and reporting data. This position functions both as consultant and as a high-level statistical analytics programmer.
Designs and enhances databases.
Designs menu systems that are effective and user-friendly.
Develops reports with accurate, easy to read, useful information.
Designs and generates tracking and monitoring tools.
Participates in the development of outcomes and process measures, including technical specifications, to enable population measurement, guideline implementation, and evaluation.
Builds and maintains complex statistical routines using macros, vendor software, and software written by self and others.
Tests and maintains data integrity across multiple databases (internal SAS, DB2, VSAM; external: Adobe, Excel, SAS parsing routines, COBOL).
Builds sophisticated statistical models and forecasting tools using these databases.
Defines and frames complex multi-dimensional healthcare issues and develops time tables/processes for decision making.
Translates needs, issues, and ideas into effective strategies and action plans.
Formulates specific implementation plans and evaluates the effectiveness of actions/programs implemented.
Develops creative alternative solutions.
Works closely with IT and outside partners (and physicians for TPMG departments).
May coordinate team/project activities and schedules.
May assist in the determination of goals and priorities with team, clients, or project management sponsors.
May provide leadership to multi-disciplinary project teams.
Communicates results/recommendations to project sponsors, clients, and various senior level audiences (including physicians for TPMG departments).
- Duties include performing data management and statistical analyses on very large-scale genomic databases, including genome-wide association studies and related analyses, on a high performance computing cluster.
Minimum three (3) years of programming in SAS, SQL, VBA, .net or equivalent statistical analytical programming language.
Minimum of three (3) years of related analytical consulting experience.
- Bachelor's degree in economics, finance, health care administration, public health administration, statistics, mathematics, operations
research, or related field required OR four (4) years of experience in a directly related field.
- High School Diploma or General Education Development (GED) required.
Licenses, Certifications, Registrations
Broad familiarity with medical practices, especially population management and process and outcomes measurement.
Experience with MVS/TSO operating systems required
Experience with analytical manipulation and interpretation of large databases required.
Microsoft Office skills required.
Very strong analytic and critical thinking skills, writing skills, communication skills, consulting skills, and ability to work within a team.
Ability to express complex analytical and technical information to senior management or to audiences with clinical training.
Must be an independent self-starter.
Must be able to work in a Labor/Management Partnership environment.
Master in Statistics, Biostatistics, Epidemiology, Public Health or related.
5 or more years of experience doing statistical analyses in public health or epidemiology research.
Expertise in manipulating large and messy data with different languages R, SAS, shell scripting and SQL.
Practical knowledge of genetics and experience working with genomic data using Plink and GCTA.
Experience working with Unix environment and use of HPC for analyses.
Manipulating data on a very large-scale genomic database (SNP microarray and exome sequencing data) in Unix environment and electronic health record from KP clinical research databases.
Merging genetics data with EHR data for advanced statistical analyses in genetics epidemiology studies (R/SAS).
Performing genome-wide association studies (GWAS), heritability estimate, and analyses involving exploring/investigating genetics variants (SNPs).
TITLE: Data Consultant - Genomic Analysis, R, Epidemiology, Bio-statistics
LOCATION: Oakland, California
External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.