Data Management and Data Sciences Engineer

Genentech in South San Francisco, CA

  • Type: Full Time
position filled
The Position

Genentech is seeking locally based applicants for data management and data science opportunity based in South San Francisco. This role is in the Pharma Technical Development organization, where we develop the processes, process knowledge, and product understanding to enable clinical trials of our investigational medicines. This role will help with digitization and data science, thus enabling faster discovery, delivery of new medicines to patients to treat unmet medical needs. The successful candidate will join a small, motivated team of software engineers, data scientist and analysts focused on enacting business focused digital solutions for Pharma Technical Development.

Core Responsibilities

Ability to design using wider technology solution and ecosystem
Work with new and existing customers to - understand importance of their business goals/objectives and quickly comprehend the data integration requirements to develop effective solutions
Provide Data Integrations expertise and ensure successful customer deployments using repeatable solutions and faster value for customers
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
Mine and analyze data from data sources to drive optimization and improvement of business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Experience integrating Artificial Intelligence / Machine Learning into workflows
Be proactive in learning new technologies to evaluate and recommend solutions and architecture including integration of AI/ML technology with other enterprise applications to solve the overall business problem
Proven ability to learn adjacent technologies that support our existing ecosystem
Ability to manage the client and partners to advise on the best way to translate their business process into data and system integration specifications
Ability to guide our stakeholders to success using best practices and ensuring we make the customer successful
Ability to take a complex issue and break it down into simple, manageable steps or milestones
Provide design and architecture oversight for data and system integration
Work with IT and data management teams to ensure solutions are well-designed and can be successfully delivered
Act as a technical liaison with third-party vendors to understand integration requirements and implement custom data acquisition solutions
Interact with end-users, researchers, technicians and other stakeholders to ensure design, integration, quality, and deployment expectations are met/exceeded
Build competence by developing methodology, best practices, blogs, demos, webinars, training and enablement
Lead development of solutions built on top of existing eco-system
Coordinate internal solution design review processes
Participate in evaluations and discussions as a subject matter expert
Managing multiple projects simultaneously
Strong presentation and communication skills

Basic Qualifications

Bachelors in computer science, data sciences, engineering, physical sciences or related discipline with extensive computing experience; Advanced degree preferred
Life Sciences knowledge or lab experience
5+ year of software development life cycles and design patterns, REST APIs, and multiple programming language (such as Angular JS, Go, Java, Ruby, C/C++, Python or R)
3+ years working in developing analytical or AI models
Operating systems experience such as Linux, Red Hat, Ubuntu, MacOS
Solid understanding of SQL and good grasp of relational and analytical database management theory and practice
Good knowledge of JDBC, XML, JMS, Web technologies and Cloud environments

Preferred Qualifications

Working knowledge of core Cloud Services such as Google Cloud Platform
Good understanding of networks, protocols, infrastructure, and carrier-grade network topologies
Demonstrated ability to develop strong customer and partner relationships
Demonstrated experience leading the design of high-availability architectures in enterprise-level environments

#LI-PTD-JM1

Who We Are

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.

The next step is yours. To apply today, click on the "Apply online" button.

Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.

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