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Internship Downstream Process Development Scientist Jobs in Commack, NY

INLINE PLASTICS CORP

Process Technician

Milford, CT

This involves the installation, setup and troubleshooting of thermoforming tools as well as the development of thermoforming processes (recipes). The technician will use scientific tools/approaches ...

Ametek

Sr Engineer, Plastics

Bridgeport, CT · On-site

$105K - $136K/yr

Experienced in process development utilizing Scientific Molding and Design Of Experiments (DOE) principles * Subject matter expert in the ability to coordinate qualification activities (PPAP, IQ, OQ ...

Ametek

Sr Engineer, Plastics

Bridgeport, CT · On-site

$105K - $136K/yr

Experienced in process development utilizing Scientific Molding and Design Of Experiments (DOE) principles * Subject matter expert in the ability to coordinate qualification activities (PPAP, IQ, OQ ...

The Lockwood Group, LLC

HR Intern

Stamford, CT · On-site

$16 - $21.25/hr

Over a third of our staff hold advanced scientific or medical degrees, and most work from where ... Process development * Committee Projects * Assist HR team on a variety of special projects ...

The Lockwood Group, LLC

HR Intern

Stamford, CT

$16 - $21.25/hr

Over a third of our staff hold advanced scientific or medical degrees, and most work from where ... Process development * Committee Projects * Assist HR team on a variety of special projects ...

New York Botanical Garden

Science Intern

New York, NY · On-site

$17/hr

The Science Internship is a part-time and seasonal position that provides training opportunities ... The science intern gains skills and professional development related to botanical research and ...

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Internship Downstream Process Development Scientist information

See Commack, NY salary details

$21

$40

$63

How much do internship downstream process development scientist jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship downstream process development scientist in Commack, NY is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $29.38 and $47.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship downstream process development scientist, and why are they important?

To thrive as an Internship Downstream Process Development Scientist, you need foundational knowledge in biochemistry, molecular biology, or chemical engineering, often supported by ongoing or recent enrollment in a relevant degree program. Familiarity with laboratory techniques such as chromatography, filtration, and analytical instruments, as well as experience with lab management software, is typically expected. Attention to detail, problem-solving abilities, and effective teamwork are standout soft skills in this role. These skills and qualifications are crucial for conducting reliable experiments, analyzing data, and contributing to the optimization of bioprocesses in a collaborative research environment.

What does an internship downstream process development scientist do?

An Internship Downstream Process Development Scientist works in the biopharmaceutical industry, assisting with the development and optimization of processes that purify biological products such as proteins, antibodies, or vaccines after they are produced by cells. Their role often involves supporting laboratory experiments, analyzing samples, and documenting results to improve the efficiency and scalability of downstream processes like filtration and chromatography. Interns in this position gain hands-on experience with cutting-edge technologies and learn about regulatory requirements and industry standards. This role helps prepare students or recent graduates for a career in process development or biomanufacturing.

What types of projects and responsibilities can an internship downstream process development scientist expect to work on?

As an Internship Downstream Process Development Scientist, you can expect to be involved in hands-on laboratory work focusing on the purification and characterization of biopharmaceutical products. Typical responsibilities include preparing buffer solutions, operating chromatography and filtration systems, analyzing samples using various analytical techniques, and documenting experimental results. Interns often collaborate with experienced scientists and engineers, contributing to process optimization and troubleshooting. The role provides valuable exposure to industry-standard procedures and the opportunity to develop technical skills in a team-oriented environment.
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Internship Downstream Process Development Scientist jobs near you
Infographic showing various Internship Downstream Process Development Scientist job openings in Commack, NY as of June 2026, with employment types broken down into 16% As Needed, 32% Full Time, 26% Part Time, 12% Temporary, 1% Contract, and 13% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,278 per year, or $40 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 18 days ago

Job description

Application Deadline: September 1, 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.
Responsibilities:
  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:
  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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