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Internship Downstream Process Development Scientist Jobs in Spring, TX

Hanwha Energy USA

Data Scientist

Houston, TX · On-site

Our expertise covers the entire energy value chain from project development and engineering to ... Coordinate model deployment efforts including integration into downstream business processes ...

Hanwha Energy USA

Data Scientist

Houston, TX · On-site

Our expertise covers the entire energy value chain from project development and engineering to ... Coordinate model deployment efforts including integration into downstream business processes ...

Koch Industries

Senior Process Engineer

Katy, TX · On-site

$95K - $123K/yr

Through our people, we have developed a strong, contribution motivated, team with a reputation for ... Independently evaluate and design facilities for midstream and downstream projects * Basic ...

Agilent

Clinical Affairs Scientist

Houston, TX · On-site +1

$105K - $197K/yr

Collaborate with regulatory and development teams during the submission process including authoring ... Provide clinical and scientific oversight of local marketing and commercial materials. * Ensure ...

BGE, Inc

HOUSTON - Site Development, Internship

Houston, TX · On-site

$14.50 - $19.50/hr

Must be full-time student in the process of obtaining a Bachelor's degree in Civil Engineering ... Science, or a related discipline. * Strong proficiency with business software (MS Office) and ...

Danaher

R&D Internships

Houston, TX · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Danaher

R&D Internships

The Woodlands, TX

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

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Internship Downstream Process Development Scientist information

See Spring, TX salary details

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

As of Sep 13, 2026, the average hourly pay for internship downstream process development scientist in Spring, TX is $34.41, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $41.06 per hour, depending on experience, location, and employer.

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.

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.

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Internship Downstream Process Development Scientist jobs near you
Infographic showing various Internship Downstream Process Development Scientist job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $71,565 per year, or $34.4 per hour.

Data Scientist

Houston, TX • On-site

Hanwha Energy USA
See more jobs at Hanwha Energy USAexternal

Full-time

Posted 13 days ago

Job description

COMPANY OVERVIEW
Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry.
Our expertise covers the entire energy value chain from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.
Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:
Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS).
Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets.
POSITION OVERVIEW
As an integral part of Hanwha Energy USA's Commodities team, the Data Scientist will oversee the entire data science pipeline for wholesale power and gas market applications including price forecasting, congestion analysis, load forecasting, and trading algorithms. This will encompass R&D, model development, pre- and post-model analytics, model deployment, and management of the ML model library. This role will leverage the latest AI/ML modeling techniques to directly impact the company's ability to make informed decisions, optimize operations, mitigate risks, and drive business growth.
The role requires a self-motivated, dedicated, and responsible individual with the ability to perform well under pressure collaboratively with a team of highly analytical and quantitative talent. Along with deep expertise in AI/ML modeling, the candidate should possess a solid understanding of power and gas market fundamentals - with particular emphasis on ERCOT and PJM markets - and emerging trends in wholesale energy.
The position will be based out of the Hanwha Energy USA Houston office, and the ideal candidate will be within commutable distance to the Houston office location.
RESPONSIBILITIES
  • As part of Hanwha Energy USA's Commodities team, this position will play a pivotal role in developing innovative solutions to wholesale power and gas analytical needs - including price forecasting, congestion analysis, and trading algorithms - by applying state-of-the-art machine learning and predictive modeling techniques
  • Responsible for coordinating the entire ML life cycle including pre-model analytics, model selection, feature engineering, post model evaluation, and model refinements across power and gas market applications
  • Develop, maintain, and continuously improve production-grade forecasting and analytics models for wholesale power and gas markets, with a focus on ERCOT and PJM
  • Build and interpret models that capture the key drivers of power and gas price formation - including generation dispatch, transmission congestion, fuel prices, weather, load patterns, and market participant behavior
  • Coordinate model deployment efforts including integration into downstream business processes, tracking performance metrics, and maintaining model health in cloud environments
  • Develop a comprehensive data visualization layer to enable intuitive understanding of analytical drivers by business stakeholders
  • Working closely with the technology team and leveraging vast amounts of proprietary and market data, develop ways to extract business intelligence and actionable insights that can have a meaningful impact on the company's bottom line
  • Communicate technical details of the modeling to key stakeholders and partners to drive impact and facilitate decision making

REQUIRED COMPETENCIES
  • Analytical - Proven problem-solving capability with strong analytical skills including statistical analysis.
  • Stakeholder Engagement - Understands the importance of seeking out relationships and working with others toward a shared goal.
  • Effective Communication - Strong verbal and written communication skills.
  • Agility - Demonstrate willingness to modify position as needed to meet the needs of the business.

REQUIRED QUALIFICATIONS
  • Strong technical knowledge in deep learning and time series modeling - including GBM, LSTM, Transformer architectures, CNN, VAE, GAN and GNN - with demonstrated application in power or gas market contexts
  • Minimum 3 years (Data Scientist) or 7 years (Senior Data Scientist) of industry experience applying modeling techniques in successful commercial energy applications
  • Solid understanding of ERCOT and PJM market fundamentals - including wholesale price formation, transmission congestion, nodal pricing, generation dispatch, and fuel market dynamics
  • Understanding of transmission congestion in ERCOT and PJM - including how constraints bind, how congestion propagates across the network, and how shadow prices reflect the cost of binding constraints
  • Experience with Large Language Models (LLMs) - including practical application of LLMs for market intelligence, analytical summarization, retrieval-augmented generation (RAG), or workflow automation in a commercial setting
  • An advanced degree, preferably Ph.D, in Engineering, Math, Physics, or a related field of study
  • Strong problem-solving skills along with the ability to intuitively explain complex technical concepts to business stakeholders
  • Strong knowledge in programming (Python, SQL), visualization tools (Plotly, PowerBI), ML packages (PyTorch, TensorFlow) and hyperparameter tuning (Optuna)
  • Experience with cloud platforms (Azure or AWS) and MLOps practices - including model deployment, pipeline orchestration, experiment tracking, and model monitoring in production environments
  • Proven track record in managing complex projects and leading cross-functional teams
  • Excellent interpersonal skills with capability to work collaboratively with technical and non-technical teams
  • Eligible to work in the USA for any employer without sponsorship

PREFERRED QUALIFICATIONS
  • Experience with Graph Neural Networks (GNN) or graph-based modeling approaches - a significant differentiator for this role given the team's current AI initiative roadmap
  • Direct experience in wholesale power or gas trading environments - understanding of how analytical outputs translate into commercial trading and hedging decisions
  • Familiarity with ERCOT-specific datasets - nodal prices, shift factor matrices, constraint shadow prices, bid/offer disclosures, and generation outage feeds
  • Experience with production cost modeling software such as DAYZER, PLEXOS, Aurora XMP, or PROMOD
  • Familiarity with gas market fundamentals - pipeline flows, basis differentials, storage dynamics, and their interaction with power price formation
  • Experience with MLOps tooling - MLflow, Airflow, Kubeflow, Azure ML, or AWS SageMaker - for production model lifecycle management

COMPENSATION: $140,000 - $180,000 salary
Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. Hanwha Energy USA

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