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Internship Downstream Process Development Scientist Jobs in Atlanta, GA

Clinical Affairs Scientist

Turin, GA · 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... Serve as a peer reviewer to other model development teams * Work on complex problems of diverse ...

Product and Process Development: * Design and develop new products or improve existing ones based ... Computer Science, or a related technical discipline). * Advanced degrees may be required or ...

Product and Process Development: * Design and develop new products or improve existing ones based ... Computer Science, or a related technical discipline). * Advanced degrees may be required or ...

Product and Process Development: * Design and develop new products or improve existing ones based ... Computer Science, or a related technical discipline). * Advanced degrees may be required or ...

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Internship Downstream Process Development Scientist information

See Atlanta, GA salary details

$19

$37

$59

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

As of Sep 3, 2026, the average hourly pay for internship downstream process development scientist in Atlanta, GA is $37.18, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $44.38 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.

What are popular job titles related to Internship Downstream Process Development Scientist jobs in Atlanta, GA?

For Internship Downstream Process Development Scientist jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Internship Downstream Process Development Scientist jobs in Atlanta, GA look for?

The top searched job categories for Internship Downstream Process Development Scientist jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Internship Downstream Process Development Scientist jobs?

Cities near Atlanta, GA with the most Internship Downstream Process Development Scientist job openings:

Infographic showing various Internship Downstream Process Development Scientist job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $77,336 per year, or $37.2 per hour.

Full-time

Posted 15 days ago


Job description

Overview
Job Purpose
Intercontinental Exchange, Inc. (ICE) presents an opportunity for a full-time Data Scientist to join the Data Analytics team. The team owns the quality, enrichment, and delivery of the property and real estate reference data that powers ICE's Fixed Income and Data Services products, and increasingly contributes to enterprise artificial intelligence and machine learning initiatives as part of ICE's AI Center of Excellence. The Data Scientist will work across the full data lifecycle, from profiling and validation through modeling, delivery, and production support.
In the near term, the role centers on ensuring that large real estate datasets, including deed, assessment, and address records, are accurate, well matched, and fit for use in downstream analytics such as home price indices and portfolio insights. Over time, the Data Scientist will also apply their skills to a broader set of AI and machine learning projects across the enterprise. The ideal candidate is a strong, adaptable generalist who is comfortable moving between hands-on data operations and applied model development, applies sound statistical judgment, and takes ownership of recurring deliveries to internal teams and external clients.
This position requires technical proficiency and strong problem solving, along with an eager attitude, professionalism, and solid communication skills. Clear written and oral communication is important, as the successful candidate will interact frequently with data engineering, product, and client-facing teams across the enterprise to meet business goals.
Responsibilities
On any day, the candidate could be doing any or all of the following:
  • Own, validate, and maintain recurring production data feeds and aggregated property and real estate datasets (for example deed, assessment, and address records), confirming data quality and soundness before each internal or client delivery.
  • Build, modernize, and automate SQL and Databricks (Spark) workloads, including converting legacy match and append and record-linkage processes into production-grade automated jobs.
  • Plan and run data migration and platform rollout testing, including home price index and geography changes, quantifying differences between data versions and assessing impact on deliverables and customers.
  • Develop, validate, and interpret statistical and predictive models, and build visualizations that turn analysis into portfolio and market insights.
  • Contribute to enterprise AI and machine learning initiatives within ICE's AI Center of Excellence, from prototyping through productionizing models and generative AI solutions using frameworks such as TensorFlow or PyTorch.
  • Partner with data engineering, product, and client-facing teams to move validated data into production and to translate business requirements into technical solutions.
  • Communicate methods, findings, and limitations clearly to technical and non-technical audiences, and respond to internal and external client questions on data and methodology.
  • Document workflows and data definitions, participate in code and query reviews, and mentor junior team members.

Knowledge and Experience
  • Advanced degree preferred (MS or PhD) in a quantitative field such as computer science, statistics, mathematics, or economics, or equivalent experience.
  • Strong programming skills in Python (or R) with core data science libraries (for example pandas, NumPy, scikit-learn), and advanced SQL for profiling, complex joins, and query optimization.
  • Hands-on experience with Databricks and Spark, including building and maintaining scheduled production jobs and modernizing legacy SQL processes.
  • Solid grounding in data quality, validation, and reconciliation, including record matching or entity resolution and quantifying differences between data versions; familiarity with real estate or property reference data (for example deed, assessment, parcel, FIPS, and APN) is an advantage.
  • Experience preparing and delivering recurring data products to clients, for example via secure file transfer, with delivery validation.
  • Familiarity with machine learning and, ideally, generative AI frameworks (for example TensorFlow, PyTorch, or large language model tooling), with interest in applying them to new problems.
  • Working knowledge of cloud data platforms (AWS, Azure, or Google Cloud), big data formats such as Parquet, and data engineering, version control, and CI/CD tools (for example Airflow and Git); experience with BI tools such as Tableau or Power BI.
  • Excellent written and oral communication, with the ability to explain technical concepts to technical and non-technical audiences; experience in an applied, agile research and development environment is a plus.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.