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Remote Downstream Process Development Scientist Jobs in Missouri

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Experience ensuring data is accurate and usable for downstream analytics/BI * Solid traditional ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO ...

GRVTY

Data Scientist - Senior

Saint Louis, MO · Remote

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... This is a mission-driven opportunity to support our government customer, with downstream impact to ...

GRVTY

Data Scientist - Senior

Saint Louis, MO · Remote

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... This is a mission-driven opportunity to support our government customer, with downstream impact to ...

GRVTY

Data Scientist - Senior

Saint Louis, MO · On-site

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... This is a mission-driven opportunity to support our government customer, with downstream impact to ...

GRVTY

Data Scientist - Senior

Arnold, MO · Remote

We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing ... This is a mission-driven opportunity to support our government customer, with downstream impact to ...

New

Jobgether

$88K - $106K/yr

Optimize large-scale Spark-based processing jobs, including partitioning strategies, file formats ... Deliver clean, documented, and feature-ready datasets for downstream data science and risk ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO ...

Jobgether

You'll work in a fast-paced, remote-first environment where experimentation, innovation, and ... Own the complete machine learning lifecycle, including feature engineering, model development ...

New

ProPharma Group

At least 5 years of sales or recruiting experience within the life sciences field. #LI-REMOTE We ... We do not rely on AI screening tools to support our hiring process. You will always receive an ...

Team Velocity

Development Manager

Saint Louis, MO · Remote

You will be deeply involved in code reviews, process improvement, and cross-functional ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience ...

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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 Missouri? The most popular types of Downstream Process Development Scientist jobs in Missouri are:
What are popular job titles related to Remote Downstream Process Development Scientist jobs in Missouri? For Remote Downstream Process Development Scientist jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Downstream Process Development Scientist jobs in Missouri look for? The top searched job categories for Remote Downstream Process Development Scientist jobs in Missouri are:
What cities in Missouri are hiring for Remote Downstream Process Development Scientist jobs? Cities in Missouri with the most Remote Downstream Process Development Scientist job openings:
Remote Downstream Process Development Scientist jobs near you
Data Scientist

Data Scientist

Stellar IT Solutions LLC

Saint Louis, MO • Remote

$55 - $60/hr

Other

Posted 9 days ago

Job description

Data Scientist

Remote
12 Month Contract to hire

Data Scientist - Profile Overview 
This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering.
What the client is really looking for:

  • Advanced SQL + Python (core requirement); Joins, CTEs, window functions, analytical queries
  • Hands-on with data quality, validation, and reconciliation
  • Strong in backend data modeling, manipulation, and cleansing (owns data structure, grain, and reliability)
  • Experience ensuring data is accurate and usable for downstream analytics/BI
  • Solid traditional Machine Learning: Feature engineering, model training, evaluation
  • Not a model-only / AI-heavy DS
  • Less focus on deep learning, GenAI, etc.
  • More focus on data foundations + analytics reliability