Onsite
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The Senior Analytics Lead in Genentech Research and Early Development (gRED) Early Clinical Development (ECD) Clinical Insights & Automation (CI&A) team is a contributor to the company’s clinical operational planning efforts. The role contributes to an integrated Clinical Operations Plan (iCOP), which is used to guide end-to-end, cross-business unit Clinical Operations planning and strategies at the disease area (DA) level. The role provides operational insights with capabilities in forecasting, landscape analysis, advanced data analysis, AI-enabled analytics solutions, and project management to support Clinical Operations and management for effective data-driven decision making. This role participates in global workgroups and initiatives to support cross-business unit best practices for processing, analyzing, generating actionable insights, and presenting data in innovative and consumable ways to address inquiries and support business planning and strategies.
The Opportunity:
● Work with cross-business unit Clinical Operations DA-level workgroups, Clinical Operations leaders, project/study teams, and lifecycle teams to understand business needs and priorities, as well as immediate scope of work.
● Independently deliver on increasingly complex portfolio analytics projects that support Clinical Operations planning and disease area strategies.
● Partner with software engineers and data scientists to translate Clinical Operations questions into analytics products, AI-enabled solutions, and consumable insights for stakeholders.
● Perform advanced data analysis, forecasting, and landscape analysis to support clinical operational planning, including patient recruitment strategies, enrollment forecasting, country footprint, and clinical site selection.
● Utilize fit-for-purpose methodologies, including predictive modeling, ML/AI, and scalable prototypes, to analyze complex data, including Real World Data and internal data, interpret results, measure project/study performance, and support portfolio-level decisions.
● Identify, interpret, and communicate the effects that trial design elements, country and site selection, competitor activities, and new engagement tactics may have on clinical trial recruitment, retention, and enrollment forecasts.
● Contribute to relevant data science and analytics projects, support implementation through the product development cycle, and help ensure successful adoption and impact.
● Collaborate with cross-functional stakeholders and SMEs from across business units in global workstreams; contribute analytics expertise and technical knowledge to the development of aligned strategies and tools.
● Identify and implement solutions to address complex analytical challenges and opportunities for continuous improvement; engage managers and peer groups regularly for coaching, assistance, and advocacy.
● Consult with IT service, software engineering, and data governance teams to clarify data and technology needs. Support internal and/or external team members to acquire, aggregate, and curate data and information.
Who You Are:
● Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, Public Health, or a related field; graduate-level degree preferred.
● 3+ years of experience with Bachelor’s; 1+ years with Master’s; or equivalent combination of education and experience, in Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Advanced Data Analytics, Information Visualization, Data Science, AI/ML-enabled analytics solutions, Clinical Operations, or the pharmaceutical/biotech industry.
● Experience working with and engaging Clinical Operations stakeholders, project/study teams, and cross-functional partners to understand business needs and prioritize analytical work.
● Experience working with SMEs from cross-business units to understand and diagnose business problems, as well as using data-driven methods to analyze and solve business situations.
● Experience independently delivering complex data analysis, forecasting, landscape analysis, or analytics projects that support clinical operational planning.
● Experience with scripting and analytical programming preferred, such as Python, R, SQL, JavaScript, or other JavaScript-based libraries.
● Experience working with software engineering teams to develop analytics products, dashboards, prototypes, APIs, data pipelines, or AI/ML-enabled solutions preferred.
● Knowledge of Snowflake/cloud architecture, data modeling concepts, and various forecasting methods and techniques preferred.
● Knowledge of Clinical Operations analytics, including clinical trial landscaping, enrollment forecasting, recruitment and retention analytics, country and site selection, and/or RWD/RWE applications preferred.
● Able to work effectively in a matrix environment, manage multiple priorities, and re-prioritize work on short notice with appropriate guidance.
● Strong written and verbal communication skills, with the ability to communicate complex analytical findings to both technical and non-technical audiences. Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, California is $125,200 - $232,400. Actual pay 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.
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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.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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