
Data Engineer, Translational Genomics
Welcome to Genentech, a leading biotechnology company dedicated to developing innovative therapies for patients with serious medical conditions. We are looking for a Data Engineer, Translational Genomics who will play a key role in our efforts to transform patient care through the power of data. As a Data Engineer, you will be responsible for developing and maintaining data solutions to enable efficient and accurate analysis of genomic data for our translational research teams. This is an exciting opportunity to work at the forefront of genomics and make a meaningful impact on patients' lives. To succeed in this role, you must have a strong background in data engineering and a passion for utilizing data to drive scientific discoveries. Are you ready to join our dynamic team and help shape the future of medicine?
- Design, develop, and maintain data solutions to enable efficient and accurate analysis of genomic data for our translational research teams.
- Collaborate with cross-functional teams to understand data needs and develop solutions to address them.
- Manage and optimize data pipelines for handling large volumes of genomic data.
- Ensure data quality and integrity by implementing data validation processes.
- Develop and maintain data warehousing and data management systems.
- Identify and troubleshoot data-related issues in a timely and efficient manner.
- Stay up-to-date on the latest advancements and trends in data engineering and genomics to recommend and implement best practices.
- Provide technical expertise and support to the translational research teams in utilizing data for scientific discoveries.
- Collaborate with IT and other teams to ensure data security and compliance with regulatory requirements.
- Contribute to the development of new tools and technologies to enhance data analysis capabilities.
- Participate in data governance and data management initiatives to improve data standards and processes.
- Document and communicate data engineering processes, solutions, and best practices to team members and stakeholders.
- Continuously monitor and optimize data systems and processes to ensure efficiency and accuracy.
- Act as a subject matter expert on data engineering and genomics, and provide guidance and training to team members as needed.
Bachelor's Degree In Computer Science, Bioinformatics, Or A Related Field With A Strong Understanding Of Genetics And Genomics.
Minimum Of 3 Years Experience In Data Engineering, Preferably In The Biotech Or Pharmaceutical Industry.
Proficiency In Programming Languages Such As Python, Sql, And R, As Well As Experience With Data Manipulation And Analysis Tools Such As Pandas And Tableau.
Knowledge Of Cloud Computing Platforms Such As Aws Or Azure And Experience Working With Large-Scale Data Sets.
Strong Communication And Collaboration Skills, With The Ability To Work Effectively In A Multidisciplinary Team And Present Complex Data To Non-Technical Stakeholders.
statistical analysis
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Data Mining
Database administration
ETL Development
SQL querying
Pipeline Automation
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Multitasking
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer, Translational Genomics in South San Francisco, CA, USA is $131,000 - $156,000. However, salaries can vary depending on factors such as experience, education, and company size. Some data engineers in this field may earn more or less than this range.
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Genentech, Inc., is a biotechnology corporation which became a subsidiary of Roche in 2009. Genentech Research and Early Development operates as an independent center within Roche. As of February 2020, Genentech employed 13,638 people.

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