Genentech, Inc. seeks a Data Analyst II at its South San Francisco, CA location.
Duties: Work with Genentech's US Patient Safety team’s internal business stakeholders (Pharmacovigilance (PV) Operations & Innovations, Market Research & Patient Support Programs, and PV Clinical teams) to assess and clarify requirements/specifications for safety-related data query, to provide programming solutions, and to ensure their efficient implementation. Design, develop and implement predictive models in Python and/or R using machine learning algorithms and forecasting techniques for Genentech's AE monitoring system. Validate and fine-tune models to ensure accuracy and reliability to support decision making processes. Define and implement sampling methodologies and use the output to develop key metrics and performance indicators. Requirement of strong analytical skills to translate sample data into actionable insights. Develop and implement data visualization using large, complex datasets in Tableau to provide actionable insights. Ensure the accuracy and effectiveness of visualizations by conducting thorough testing and validation by utilizing data analytics’ best practices. Design and
develop automated solutions using R, Python, and/or SAS, to expedite programming activities and usage for data management and data review. Identify and recommend PV system process improvements and automation within data workflows. Analyze current practices, pinpoint inefficiencies, and design solutions to streamline operations, reduce manual effort and enhance data accuracy. Develop and review specification documents for data analysis and coding projects. Require strong understanding of translating business requirements into detailed technical specifications for models and analytics solutions. Build and monitor quality utilizing data analytics’ best practices in every aspect of job activities in Genentech's US Patient safety team.
Education and experience required: Master’s degree in Business Analytics, Mathematics, Statistics or related quantitative field, and 4 years of experience in advanced data science and business analytics role
Special Requirements: Must have 4 years of work experience with each of the following:
Designing, implementing and fine-tuning statistical and machine learning prediction models in Python and/or R.
Using SQL for querying and managing large, complex datasets.
Using Tableau and/or Power BI to develop interactive dashboards and reports to effectively communicate data findings and trends.
Developing and implementing time-series forecasting models in Python and/or R.
Leveraging programming languages such as Python, R and/or SAS to reconcile, manipulate and test accuracy of data, and to analyze and visualize complex datasets, create automated processes, and develop scalable workflows
Providing consultation to users in the area of automated systems and leading cross-functional teams to address business or systems issues.
Designing and implementing sampling strategies (random, stratified, systematic, etc.) to ensure representative data collection and applying statistical inference techniques such as hypothesis testing to draw meaningful conclusions.
Designing and deploying machine learning and forecasting algorithms such as Clustering, Logistic Regression, XGBoost, ARIMA and SARIMA models.
Working with relational databases such as Teradata and Oracle.
Must have 1 year of experience within the Pharma/Biotech industry.
The expected annual salary range for this position based on the primary location for this position of California is $204,214 to $268,800 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits (https://roche.ehr.com/default.ashx?CLASSNAME=splash)
Worksite: 1 DNA Way, South San Francisco CA, 94080
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
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