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Genentech Marketing information

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$26.5K

$50.7K

$73K

How much do genentech marketing jobs pay per year?

As of Sep 7, 2026, the average yearly pay for genentech marketing in the United States is $50,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $58,000.00 per year, depending on experience, location, and employer.

What is Genentech Marketing?

Genentech Marketing refers to the team and professionals responsible for promoting Genentech’s pharmaceutical products and therapies to healthcare providers, patients, and other stakeholders. Marketing at Genentech involves developing strategies to communicate the benefits and uses of their innovative biotech medicines, ensuring compliance with industry regulations, and supporting product launches. Marketers work closely with sales, medical, and regulatory teams to create educational materials, plan campaigns, and gather market insights. Their goal is to ensure that Genentech’s solutions reach those who need them while upholding ethical standards.

What are the key skills and qualifications needed to thrive as a Genentech Marketing professional?

To thrive in Genentech Marketing, you need a solid background in marketing strategy, life sciences or healthcare knowledge, and typically a relevant degree in marketing, business, or science. Familiarity with CRM platforms like Salesforce, digital marketing analytics tools, and regulatory compliance systems is highly valued. Strong communication, collaboration, and creative problem-solving skills help professionals excel in cross-functional teams and adapt to a fast-evolving industry. These skills are essential for effectively promoting complex biotech products while adhering to strict industry regulations and delivering value to both healthcare providers and patients.

How does the Genentech Marketing team typically collaborate with other departments, such as Medical Affairs and Sales, to develop effective campaigns?

At Genentech, the Marketing team works closely with cross-functional partners, including Medical Affairs, Sales, and Regulatory Affairs, to ensure campaigns are both compliant and impactful. This collaboration often involves regular strategy meetings, joint planning sessions, and real-time feedback loops to connect market insights with scientific accuracy. Marketers at Genentech are expected to translate complex clinical data into compelling, patient-focused messaging while aligning with sales strategies and adhering to strict industry regulations. This integrated approach helps deliver cohesive campaigns that support both brand goals and patient outcomes.

What is the difference between Genentech Marketing vs Genentech Medical Affairs?

AspectGenentech MarketingGenentech Medical Affairs
Required CredentialsBachelor's degree, marketing or life sciences background often preferredMedical degree (MD, DO) or PhD in life sciences
Work EnvironmentCollaborative marketing teams, cross-functional projectsScientific and clinical communication, peer interactions
Employer & Industry UsageUsed in pharmaceutical marketing departments, commercial teamsUsed in medical/scientific departments, clinical support
Common Search & ComparisonYesYes

Genentech Marketing focuses on promoting products, branding, and market strategies, requiring marketing and life sciences knowledge. In contrast, Genentech Medical Affairs involves scientific communication, clinical support, and medical education, requiring advanced medical or scientific credentials. Both roles are integral to Genentech's operations but serve different functions within the pharmaceutical industry.

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Cities with the most Genentech Marketing job openings:

What states have the most Genentech Marketing jobs?

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What job categories do people searching Genentech Marketing jobs look for?

The top searched job categories for Genentech Marketing jobs are:

Genentech Marketing jobs near you
Infographic showing various Genentech Marketing job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $50,705 per year, or $24.4 per hour.

Principal Data Scientist, Predictive AI

Genentech, Inc.

South San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

12th of 86 rated pharmaceutical

Job description

Why Genentech
We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
Genentech's Data, Digital, and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. DDA empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
DDA fosters a unified understanding of customers, actions, and outcomes by transforming the business insight supply chain from the traditional reactive service model to a modern proactive product model, which integrates analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos. In DDA, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.
The Opportunity
The Principal Data Scientist in Data, Analytics, and AI serves as a visionary technical leader and strategic thought partner, driving the innovation, development, and industrialization of next-generation enterprise AI/ML applications. This pivotal role requires deep expertise in building enterprise recommendation engines alongside advanced predictive modeling and forecasting solutions tailored specifically for the Commercial, Marketing, and Medical Affairs domains. Operating with a high degree of independence, the Principal Data Scientist translates ambiguous business challenges into rigorous analytical roadmaps, elevates team thinking, and provides the strategic technical insights necessary to shape organizational priorities. This position requires a rare blend of deep technical mastery-spanning applied statistics, deep learning, and forecasting-and the executive presence required to influence cross-functional strategy while maintaining compliance with Genentech's standards.
  • Technical Leadership & Architecture: Lead and guide the data science lifecycle for high-priority AI/ML projects, serving as the subject matter expert for advanced analytical methodologies across DDA.
  • Product & Capability Ownership: Drive the end-to-end development, scaling, and deployment of AI solutions to optimize marketing efficiency, medical affairs strategy, and customer experience.
  • Strategic Partnership: Act as a critical technical advisor to leadership and cross-functional stakeholders; leverage deep technical expertise and proactive research to influence long-term commercial and clinical business strategies.
  • Advanced Methodology Application: Apply ML, deep learning, and applied statistics to extract high-value insights from complex, disparate structured and unstructured data sources.
  • Cross-Functional Synergy:Collaborate seamlessly with Data Science Product Owners, ML Engineers, and other teams to build production-grade, scalable applications. Openly share perspectives to elevate the team's technical maturity and optimally weigh technical vs. business trade-offs.
  • Influence & Storytelling: Translate highly complex algorithmic architectures and predictive insights into concise, compelling business narratives that inspire trust and drive immediate operational action among non-technical stakeholders.

Who You Are
  • Bachelor's Degree and 7+ years of hands-on experience in AI with a proven track record of technical leadership, innovation, and independent project execution.
  • 3+ years of dedicated experience applying Recommender Systems (e.g., content-based/collaborative filtering) and predictive/forecasting models to enterprise-scale data to drive tangible business results.
  • Deep proficiency in quantitative fields including Deep Learning (applied to recommendation engines or advanced forecasting), Causal Inference, and advanced statistical modeling.
  • Strong experience working with large-scale, complex data environments utilizing big data platforms (Hadoop, Spark) and cloud-computing ecosystems (AWS).
  • Advanced proficiency in Python and deep familiarity with open-source machine learning and agentic libraries/frameworks (e.g., LangChain, CrewAI, TensorFlow, PyTorch) to solve enterprise-level problems.

Preferred
  • Master's or PhD in Data Science, Computer Science, Applied Mathematics, Statistics or a related quantitative field
  • Deep knowledge of highly regulated environments (healthcare, pharma, biotech) with specific experience utilizing Commercial, Medical Affairs, claims, marketing, and longitudinal patient data.
  • A proven ability to successfully pivot and apply transferable artificial intelligence and machine learning techniques across diverse business domains and ambiguous use cases.
  • Experience using industry-standard tools like Tableau, Qlik, or Data Studio to translate complex data into accessible, democratized insights.
  • Strong communication, leadership, and time management skills, backed by a track record of open-source contributions, peer-reviewed publications, or patents.

This position is based in South San Francisco, CA at our Genentech Campus and offers a hybrid schedule working 3 days per week on campus
Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 and $385,320. 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.
Benefits
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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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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