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Internship Downstream Process Development Scientist Jobs in Spring, TX

Jacam

Downstream Scientist

The Woodlands, TX · On-site

... in demanding process environments. The role requires strong technical expertise, hands-on ... Collaborate with R&D, manufacturing, and commercial teams to transition new products from concept ...

Persona AI

Process Engineer

Houston, TX · On-site

You will lead the development implementation and optimization of a robust manufacturing process of ... downstream. * Root Cause Analysis: Lead formal failure analysis and troubleshooting efforts.

Danaher

R&D Internships

The Woodlands, 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

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 ...

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Internship Downstream Process Development Scientist information

See Spring, TX salary details

$18

$34

$54

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

As of Jul 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 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 Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $71,565 per year, or $34.4 per hour.
Sr. Artificial Intelligence Lab Scientist - Material Discovery

Sr. Artificial Intelligence Lab Scientist - Material Discovery

Aramco

Houston, TX • On-site

Full-time

Posted 24 days ago

Job description

Aramco Americas Company
Sr. Artificial Intelligence Lab Scientist - Material Discovery (1844)
R&D / Houston Downstream Research Center - Houston, TX. - Full Time
OVERVIEW:
Aramco Americas is establishing a state-of-the-art research center in Houston dedicated to advancing CO₂ capture, low-carbon liquid fuels and chemicals, renewable energy, and energy storage solutions, as well as artificial intelligence applications in the energy sector. The center's mission is to transform early-stage, low-TRL research into mid-level technologies (TRL 5-7), bridging the gap between fundamental discovery and practical deployment.
SCOPE:
Aramco Americas is seeking an experienced scientist specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) to accelerate next-generation materials discovery for carbon capture and utilization, catalysis for synthetic fuels and chemicals development, and related sustainable energy technologies. The role will apply AI/ML-driven modeling, simulation, and data analytics to understand and predict material structure-property-performance relationships and link these insights to industrially relevant processes. The position will work closely with laboratory researchers and process development teams to translate computational discoveries into experimental validation, scale-up considerations, and practical implementation. The ideal candidate will possess a strong technical foundation in AI/ML-enabled material research, coupled with demonstrated experience managing multidisciplinary research projects and driving innovations from concepts through deployment.
PRINCIPLE DUTIES:
  • Develop and lead execution of energy related research projects (e.g., catalysis, adsorption, and energy transition related) with an emphasis on computational materials discovery.
  • Organize project tasks and milestones, including evaluation of important schedules, deliverables, and resources.
  • Collaborate with stakeholders and domain experts to understand challenges, frame AI-ready problem statements, and identify high-impact solutions.
  • Lead end-to-end AI initiatives, including data acquisition, feature engineering, model deployment, and performance monitoring.
  • Build or modify existing computational architecture for material development.
  • Work with team members to transfer computational designs into laboratory samples.
  • Collect and analyze data related to material properties and performance.
  • Stay up to date on emerging technologies in the field of AI and ML.
  • Identify collaborative opportunities with both internal and external partners based upon identified technical challenges and collaborator skill sets.
  • Work with key business stakeholders to manage technology deployment.
  • Write technicals reports, journal publications, and present findings at conferences.
  • Provide and manage a safe, accident-free laboratory environment. Follow all company safety rules in performing job duties.

MINIMUM REQUIREMENTS:
  • PhD Degree in an Engineering or Science discipline with a preference towards computational materials analysis and discovery.
  • Nine (9) years of relevant industrial experience related to energy materials design
  • Preferred candidates will have research experience in theoretical, computational, modeling, and/or simulation of materials science or related fields, including familiarity with molecular dynamics and density functional theory methodologies.
  • Preferred candidates will have experience in the application of AI and ML approaches to material development.
  • Preferred candidates will be proficient in the Python coding language.
  • Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined.
  • Candidate should be comfortable in working independently or part of a project team, frequent project presentation and travel to meetings at conferences and universities. Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.

NO THIRD-PARTY CANDIDATES ACCEPTED

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