The Opportunity

The Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes by empowering business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions. This is achieved by leveraging data, analytics, business products, and AI/ML for fast, targeted actions, fostering a unified understanding of customers, actions, and outcomes through the seamless integration of insights into digital, data, and automation platforms, and eliminating silos. In this team, members work as trusted, objective advisors and experts, recommending critical decisions and actions with credibility and a focus on driving measurable impact, all within a thriving culture built on collaboration and innovation.

The Data Scientist in Data, Analytics, and AI supports the design, development, and validation of AI/ML solutions across Commercial and Medical domains. This role focuses on building predictive models, performing advanced analytics, and contributing to scalable machine learning solutions under the guidance of Senior and Principal Data Scientists.

The position emphasizes strong technical execution, analytical rigor, model development best practices, and continuous skill development. The Data Scientist contributes to delivering high-quality solutions while ensuring adherence to data governance and compliance standards.

Key Responsibilities

• Develop, test, and refine predictive models and machine learning solutions using structured and unstructured data.

• Perform data exploration, feature engineering, model training, and validation under the guidance of Senior/Principal Data Scientists.

• Contribute to AI/ML projects, including predictive modeling and selected Generative AI use cases, supporting enterprise initiatives.

• Implement reproducible analytical workflows and maintain well-documented code and modeling approaches.

• Support model performance evaluation, monitoring, and continuous improvement.

• Collaborate with ML Engineers to help transition models toward production environments.

• Prepare clear documentation, visualizations, and summaries of analytical results for internal team use and broader stakeholder communication when needed.

• Continuously build expertise in statistical modeling, machine learning, and AI methodologies.

Who you are

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

• 3-5 years of experience in a data science, or a related role

• Proficiency in programming languages such as Python, R

• Knowledge of SQL for database management

• Understanding of statistical methods and machine learning algorithms 

• Experience using ML in a variety of contexts such as insight generation, forecasting, text classification, clustering etc.

• Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.

• Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.

Preferred Qualifications

• MS or PhD in Biomedical Informatics, Biostatistics, Data Science, Computer Science, or related field.

• Strong experience with survival analysis (Cox regression, time-to-event modeling, C-index).

• Knowledge of interpretability methods in medical AI.

• Familiarity with Bayesian modeling and risk prediction frameworks.

• Experience working with EHR data and interoperability standards (FHIR, mCODE).

• Experience working with large and complex data sets in collaboration with business and analytics teams

• Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)

• Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.). 

• Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.

• Contributions to open source projects or publications in data science

• Experience in healthcare, pharmaceutical, or highly regulated industries.

• Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications

Location

• This position is based in South San Francisco, CA

• Relocation assistance is not available at this time.

The expected salary range for this position based on the primary location of South San Francisco, CA is $156,200/yr to $290,200/yr.  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.