We are seeking an experienced Senior Data Engineer who will contribute to developing our advanced cell therapy manufacturing platform. This role will lead the design, development, and management of scalable data pipelines and architecture.
The ideal candidate has extensive experience in data engineering, a strong understanding of modern data architectures, and a deep knowledge of big data technologies. This role involves working with large datasets, ensuring data quality, and collaborating with cross-functional stakeholders across the organization to provide data-driven business outcomes for our cell therapy business.
We're looking for someone who thrives in a fast-paced, mission-driven environment, is comfortable wearing multiple hats, and is ready to tackle diverse challenges as our company grows.
Responsibilities
- Architect, design, and implement data pipelines and infrastructure to support the implementation of data analytics and AI solutions, leveraging Azure Cloud Platform and Databricks technologies
- Collaborate with cross-functional teams to understand project requirements, translate them into technical specifications, and develop scalable and efficient data solutions
- Build and maintain data ingestion, transformation, and storage systems using Azure services such as Azure Database for PostgreSQL, Azure Blob storage, and Azure Databricks, ensuring data quality, reliability, and security
- Work closely with cell therapy process developers, manufacturing operators, and scientists to preprocess and prepare data for machine learning models, performing feature engineering, data augmentation, and exploratory data analysis as needed
- Implement monitoring, logging, and alerting mechanisms to track data pipeline performance and ensure timely identification and resolution of issues
- Document data engineering processes, workflows, and best practices and provide guidance and support to project team members as needed
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field with at least 6 years of related industry experience
- Proven experience in data engineering, with a focus on building data pipelines and infrastructure in cloud environments, preferably on Microsoft Azure
- Strong proficiency in Azure services such as Azure Databricks, Azure Database for PostgreSQL, Azure Table Storage, Azure Cosmos DB
- Proficiency in managing, optimizing, and data integration with Elasticsearch clusters
- Experience with data preprocessing, feature engineering, and data modeling techniques, particularly in the context of data analytics, machine learning, and AI applications
- Proficiency in programming languages such as Python or C#, with experience in developing scalable and efficient data processing code
- Expertise with data visualization tools such as Microsoft Power BI and Tableau
- Familiarity with data governance, compliance, and security best practices, especially in regulated industries such as medical devices, cell therapy, bioprocessing, or instrumentation
- Excellent problem-solving and analytical skills, with the ability to troubleshoot complex data engineering issues and optimize performance
- Effective communication and collaboration skills, with the ability to work in cross-functional teams and interact with stakeholders at all levels
- Comfortable working in a fast-paced start-up company environment with minimal direction and changing priorities
- Ability to be a strong problem solver and team player
- Self-awareness, integrity, authenticity, and a growth mindset
- This will be a full-time onsite position in South San Francisco or Chicago
Top Skills
What We Do
Cellares is revolutionizing cell therapy manufacturing. We are developing a one-of-a-kind solution, The Cell Shuttle, to overcome the challenges associated with manufacturing so these life-saving therapies are affordable and widely available to patients who can benefit.
The clinical impact of cell therapy in treating cancer has been proven, but this therapeutic approach has several limitations, especially in manufacturing, leaving extremely sick patients waiting for treatment and desperate for hope.
Since cell therapy is currently produced for a single patient at a time, it is expensive to manufacture, requiring significant time and resources, and is difficult to scale.
Preclinical and clinical scientists, as well as commercial cell therapy manufacturers also lack the options to fully automate their manufacturing process quickly, safely, cost-effectively and at the scale they need.
The Cell Shuttle is an automated and closed end-to-end manufacturing solution that is flexible and scalable, enabling customers to run exact processes specified for their cell therapy. Compared with the current manual manufacturing processes for cell therapy, the Cell Shuttle’s next-generation automated manufacturing solution has 10 times the scalability (meaning 10 times more patient doses can be produced simultaneously), enables a three-fold reduction in process failure rates and will reduce the per-patient manufacturing cost by up to 70 percent for most processes.
