Director of AI/ML – Systems Automation

Early Development Science              ·             South San Francisco, California, United States of America        ·         Full time

Director Of AI/ML – Systems Automation

• Location: South San Francisco, California, United States of America
• Full time

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The Position

Who We Are

Our Strategic Analytics & Intelligence (SAI) team isn’t just deciphering data. We’re here to help solve the world’s most complex healthcare challenges and improve the lives of patients. 

With a mix of competitive intelligence, market research, data science, advanced analytics, access, and forecasting, SAI unlocks key insights for our internal partners that ultimately benefit healthcare providers and patients. Even if you’ve never worked in biotech, you’ll establish yourself as an expert alongside other specialists. Plus, you can gain new experiences across marketing disciplines, therapeutic areas, and commercial operations. The entire time, you’ll be surrounded by a diverse and inclusive team that aims to reflect the world we serve.

The data science team within SAI exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively. As a center of excellence, the data science team has 3 primary remits: Owning Advanced Data Science Strategy and Innovation for SAI and CMG; Application of Data Science to CMG enterprise priorities, and; Driving the Data Science Capability on behalf of the SAI department. The team leverages advanced data science capabilities, working across CMG to develop strategic and holistic solutions by identifying and leading innovative analytic projects & pilots to enable GNE to deliver for our customers.

What We Are Looking For

We are looking for an experienced Director of AI/ML – Systems Automation to build and grow a team of AI/ML engineers, and lead the design as well as the implementation of cutting-edge AI/ML solutions for a growing organization. If you have a passion for innovation and a proven track record in designing and implementing AI/ML systems and leading AI/ML engineers, this role is made for you.

As the Lead Director of AI/ML – Systems Automation, you will be responsible for designing and implementing AI/ML systems to support organizational initiatives. You will work closely with the software development and data science teams to design, build, and implement AI/ML models that are accurate, efficient, scalable, and secure. Your role will involve working with stakeholders to identify business needs and requirements, proposing technical solutions, and leading the implementation of the chosen solutions.

Responsibilities

• Lead and mentor a team of MLOps Engineers, Feature Engineers and ML Engineers, fostering their growth and ensuring they perform at their best.
• Work closely with business stakeholders to identify business needs and requirements, and propose technical solutions that leverage AI/ML technologies.
• Develop and maintain a comprehensive understanding of the organization’s technical landscape, data infrastructure, and data processing pipelines.
• Lead the design and implementation of AI/ML systems that are accurate, efficient, scalable, and secure.
• Work with the data science team to identify the appropriate algorithms and models for specific business problems, and implement them in production systems.
• Work with the software development team to integrate AI/ML systems with existing business applications and data systems.
• Develop and maintain documentation for AI/ML systems, including technical specifications, system architecture diagrams, and user guides.
• Ensure that AI/ML systems comply with relevant regulatory requirements, such as data privacy laws and industry standards.
• Keep up to date with emerging AI/ML technologies, and assess their potential impact on the organization’s technical landscape.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 10+ years of relevant work experience.
• 5+ years of experience in designing and implementing AI/ML systems in a commercial environment.
• 5+ years of experience as a team lead and people manager.
• Strong knowledge of AI/ML technologies, including deep learning, natural language processing, and computer vision.
• Strong knowledge of programming languages such as Python, R, Julia, Java.
• Strong knowledge of data processing and storage technologies such as Hadoop, Spark, and NoSQL databases.
• Proven experience with AI/ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, Keras, PySpark, H2O…
• Significant experience with cloud computing platforms: AWS, Azure, GCP
• Deep experience with devOps tools: Git, Jenkins, Ansible, Terraform
• Proven experience with MLOps tools: Kubeflow, MLflow, TensorFlow Serving, TorchServe…
• Excellent problem-solving and analytical skills, with the ability to identify and solve complex technical problems.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across the organization.
• Strong leadership skills, with the ability to lead a team of technical professionals.

This position is located in South San Francisco and works from the office a majority of the time. Relocation benefits are available.

The expected salary range for this position based on the primary location of California is $181,200 – $336,400. 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.

Benefits

#SAIData

#LI-KG4

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Job Facts

• Job Sub Category: Early Development Science
• Schedule: Full time
• Job Type: Regular
• Posted Date: Dec 15th 2023
• Job ID: 202309-120953

Please click here to apply.