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Remote Downstream Process Development Jobs in California

Maker is just building out our mid-market Sales team and process so there will be a lot of learning ... EST/PST (Remote) Click here to view the 30-60-90 Day Plan Employment Type: FULL_TIME

Maker is just building out our mid-market Sales team and process so there will be a lot of learning ... EST/PST (Remote) Click here to view the 30-60-90 Day Plan

Hardware Quality Engineer - Remote

San Diego, CA · On-site +1

$131.10K - $173.10K/yr

... downstream traceability from hardware-centric design control elements. * The ideal candidate will ... Translate business and regulatory requirements into comprehensive hardware development processes.

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Remote Downstream Process Development information

What are the key skills and qualifications needed to thrive as a Remote Downstream Process Development specialist, and why are they important?

To thrive in Remote Downstream Process Development, you need a solid background in bioprocess engineering, protein purification, and analytical techniques, often supported by a degree in biochemistry, chemical engineering, or a related field. Familiarity with chromatography systems (e.g., AKTA), filtration technologies, and data analysis software, along with relevant GMP or bioprocess certifications, is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills, especially when collaborating remotely across teams. These skills ensure the effective design and optimization of purification processes, driving successful biologics production and maintaining quality standards in a remote work environment.

What are some common challenges faced in a remote downstream process development role, and how can they be managed?

One of the main challenges in a remote downstream process development role is maintaining effective communication and collaboration with laboratory teams, especially when hands-on process optimization and troubleshooting are required. To manage this, professionals often rely on regular virtual meetings, detailed documentation, and digital data-sharing platforms to stay aligned with on-site teams. Additionally, remote workers need to be proactive in seeking feedback and clarifications to ensure experimental objectives are met. Building strong relationships with colleagues and utilizing collaborative tools can greatly enhance workflow and project outcomes.

What is a Remote Downstream Process Development role?

A Remote Downstream Process Development role involves designing, optimizing, and scaling processes that purify and refine products, typically in the biotechnology or pharmaceutical industries, while working from a remote location. This job focuses on the steps that occur after the initial production of a biological product, such as separation, purification, and formulation. Professionals in this field use scientific and engineering principles to ensure the final product meets quality and regulatory standards. Remote work in this area relies on digital tools for data analysis, collaboration, and project management. Effective communication and strong technical expertise are key to success in this position.

What is the difference between Remote Downstream Process Development vs Remote Upstream Process Development?

AspectRemote Downstream Process DevelopmentRemote Upstream Process Development
CredentialsTypically requires a degree in biochemistry, chemical engineering, or related fields; experience with chromatography and purification techniquesRequires similar degrees; experience with cell culture, bioreactors, and fermentation processes
Work EnvironmentLaboratory and pilot plant settings, often involving process optimization and purificationLaboratory and pilot plant settings, focusing on cell growth and bioprocessing
Industry UsageCommon in biopharmaceutical manufacturing for product purificationCommon in biopharmaceuticals for upstream bioprocessing and cell culture development

Both roles involve bioprocessing but focus on different stages: downstream process development centers on purification and product recovery, while upstream process development emphasizes cell growth and bioreactor processes. Understanding these differences helps in choosing the right career path or job focus within biopharmaceutical manufacturing.

What are the most commonly searched types of Downstream Process Development jobs in California? The most popular types of Downstream Process Development jobs in California are:
What cities in California are hiring for Remote Downstream Process Development jobs? Cities in California with the most Remote Downstream Process Development job openings:

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site, Remote

Full-time

Posted 13 days ago


Job description

Principal Data Processing Engineer - OSS
Mountain View, CA


About DataPelago:

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray, and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for world-class engineers to join our team and shape the future of accelerated data processing.

The Role:

As a Principal Data Processing Engineer (OSS), you will be a key individual contributor in
adopting and advancing the capabilities of open-source software (OSS) platforms such as Apache

Gluten, Velox, Apache Spark, and Apache Flink in the context of DataPelago's data processing engine. You will enhance the functional breadth, performance, scale, and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with the community working on these platforms. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What You'll Do:

  • Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
  • Lead the design of functional and performance enhancements to open source platforms such as Apache Gluten and Velox, and their integration with our data processing engine.
  • Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Analyze the technology roadmap of Apache Gluten, Velox, and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner with engineering, product management, the open-source community and customer success teams.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.

What You'll Bring:

  • BS/MS in Computer Science (or a related field) with 6+ years of relevant experience
  • 3+ years of deep technical experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
  • Sound knowledge of the architecture and internal operation of one or more of Apache Spark,
    Apache Flink, Presto/Trino.
  • Demonstrated experience in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Exceptional programming skills in C, C++, and Java.
  • Extensive development experience in Linux environments.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills with a passion for performance optimization.

Location Considerations:

We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.

Why Join DataPelago?

  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing platforms
  • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated
    computing and data processing.
  • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities