Data Reporting and Analytics Consultant IV, Biostatistics
Updated: May 29
Oakland
56.2
0mi
Job Abstract
The programmer will support primarily National Institute of Mental Health-funded observational and industry studies. One of the main funded projects aims to predict which patients with depression will respond to antidepressants. Tasks may range from cohort identification, data transformation and extraction from clinical records databases, implementing or working with survey or other data collection from study participants, data cleaning and assembly, data analysis, interpretation of results, and... more details
Description:
Job Summary:
The programmer will support primarily National Institute of Mental Health-funded observational and industry studies. One of the main funded projects aims to predict which patients with depression will respond to antidepressants. Tasks may range from cohort identification, data transformation and extraction from clinical records databases, implementing or working with survey or other data collection from study participants, data cleaning and assembly, data analysis, interpretation of results, and database creation, engaging in collaborations with other institutions that may include data harmonization and joint analyses, development or implementation of study tracking systems and data repositories and generating progress reports, and supporting development of grants, abstracts, presentations, and publications. Data analysis will include clinical predictive modeling for application in health systems. Other tasks may include patient identification for prospective implementation and clinical trial work, integration of genomic data from the KP Research Bank and Research Program on Genes, Environment, and Health. The analyst is expected to work closely with the investigators, project managers, data analysts, and other team members. Opportunities to engage in or lead manuscript authorship are welcome.
Essential Responsibilities:
Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
Drives strategic 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.
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.
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.
Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.
Minimum Qualifications:
Minimum one (1) year medical or health analytics experience.
Minimum three (3) years statistical modeling experience using SAS, R, or another advanced statistical package.
Minimum one (1) year experience in a leadership role with or without direct reports.
Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum five (5) 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): Internal or External Publication; Data Quality; Model Creation and Interpretation; Procedure Manuals and Documentation; Health Care Coding; Process Mapping; Program Writing; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management
Preferred Qualifications:
Master’s degree in biostatistics, statistics, epidemiology, or similar, is strongly preferred. Proficiency in SAS is strongly preferred. Programming experience in R and SQL is preferred. Experience with extracting and manipulating data from KP data systems is preferred. Candidates must be detail oriented, organized, and able to multi-task and work independently as well as in a team environment. Strong analytic and critical thinking skills and communication skills are required.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
We would like to take a second to Welcome You to Job Abstracts, the nation’s largest Pure Job Board. With over 3.1 million job listings from 15,000+ Companies & Organizations, we help job searchers find careers that match their interests. As an anonymous user, you have probably discovered how easy our system is to use. However, you have just scratched the surface of what we can offer.
We encourage you to Register so you can use our most powerful features: searching with multiple terms, setting up multiple locations, establishing favorite companies, and accessing your search history. If you find a job you like, you can apply directly for it, and then, keep notes on it. We will also keep a lookout for jobs that match your search terms and email you when we find something you may like.
You can register for free and the system is free to use. If you like our system so far, click on Register and unlock the power required by serious job searchers.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.
