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Remote Downstream Process Development Scientist Jobs in California

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... biosensing, remote monitoring, non-invasive sleep technology, and the development of new ... Processing, cleaning, and combining different data sources to create new datasets * Collaborate ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to ...

Mote, Inc.

Process Controls Engineer

Los Angeles, CA · On-site +1

$100K - $140K/yr

Hybrid (Los Angeles-based; ~1 day/week remote) Travel: 0-25% per month About Mote Mote is ... About the Team The Technology Team enables decarbonization at scale by leading process development ...

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Remote Downstream Process Development Scientist information

How does a Remote Downstream Process Development Scientist typically collaborate with onsite laboratory teams?

As a Remote Downstream Process Development Scientist, collaboration with onsite laboratory teams is essential to ensure the smooth transfer of process knowledge, data interpretation, and troubleshooting. Communication is often facilitated through regular video meetings, shared digital lab notebooks, and project management tools. While you may not be physically present for hands-on experiments, you play a crucial role in designing studies, analyzing results, and providing guidance on process optimization. Building strong virtual relationships and maintaining clear, timely communication are key to overcoming challenges related to distance and ensuring project success.

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

AspectRemote Downstream Process Development ScientistRemote Upstream Process Development Scientist
Required CredentialsBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in chromatography and purification techniquesBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in cell culture and bioreactor operations
Work EnvironmentLaboratory and pilot plant settings, often collaborative teamsLaboratory and bioreactor environments, often collaborative teams
Industry UsagePharmaceutical and biotech companies focusing on drug purificationPharmaceutical and biotech companies focusing on bioprocessing

The main difference between a Remote Downstream Process Development Scientist and a Remote Upstream Process Development Scientist lies in their focus areas. Downstream scientists specialize in purification and separation techniques, while upstream scientists focus on cell culture and bioreactor processes. Both roles require similar educational backgrounds and are vital in biopharmaceutical development, but they target different stages of the production process.

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

To thrive as a Remote Downstream Process Development Scientist, you need a strong background in biochemistry, chemical engineering, or a related field, often supported by an advanced degree and experience in bioprocessing. Familiarity with chromatography systems, filtration technologies, and data analysis software, as well as knowledge of regulatory standards like GMP, is typically required. Exceptional problem-solving, project management, and cross-functional communication skills are crucial for remote collaboration and effective process optimization. These competencies ensure the efficient development, scale-up, and transfer of purification processes critical to biopharmaceutical manufacturing success.

What is a Remote Downstream Process Development Scientist?

A Remote Downstream Process Development Scientist is a professional who designs, optimizes, and scales processes for purifying and isolating biological products, such as proteins or antibodies, often in the biotechnology or pharmaceutical industries. They work remotely, leveraging digital tools to collaborate with teams, analyze data, and guide laboratory operations. Their responsibilities include developing protocols, troubleshooting purification steps, and ensuring that processes meet quality and regulatory standards. This role is critical for transforming lab-scale discoveries into commercially viable products.
What are the most commonly searched types of Downstream Process Development Scientist jobs in California? The most popular types of Downstream Process Development Scientist jobs in California are:
What are popular job titles related to Remote Downstream Process Development Scientist jobs in California? For Remote Downstream Process Development Scientist jobs in California, the most frequently searched job titles are:
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Remote Downstream Process Development Scientist jobs near you

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site, Remote

Full-time

Posted 23 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

Apply