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Internship Downstream Process Development Scientist Jobs in Port Richey, FL

STEMboard

Data Scientist - TS/SCI

Tampa, FL

... for downstream users such as data scientists to create the models and analytics that produce ... They understand some of the most challenging processes, technologies, and can leverage a vast array ...

STEMboard

Data Scientist - TS/SCI

Tampa, FL · On-site

... for downstream users such as data scientists to create the models and analytics that produce ... They understand some of the most challenging processes, technologies, and can leverage a vast array ...

Heidt Design

Internship Openings

Tampa, FL · On-site

Are you an intern looking to learn from experienced professionals in the Land Development sector ... Science departments. We hire interns with the intent to start a long term career with our ...

Heidt Design

Internship Openings

Tampa, FL · On-site

Are you an intern looking to learn from experienced professionals in the Land Development sector ... Science departments. We hire interns with the intent to start a long term career with our ...

UAB

SCIENTIST III

Tampa, FL · On-site

The role requires deep technical expertise across AI for science protein and antibody design, AI ... development and guiding research assistants and interns toward achieving lab and project goals.

Marsh McLennan

Senior Enterprise Architect

Tampa, FL · On-site

... downstream process dependencies across core servicing, transaction, and operational workflows ... Manage the development of supporting application components, interface/design of systems as well as ...

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Internship Downstream Process Development Scientist information

See Port Richey, FL salary details

$18

$34

$54

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 Port Richey, FL is $34.28, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $40.91 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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For Internship Downstream Process Development Scientist jobs in Port Richey, FL, the most frequently searched job titles are:

What job categories do people searching Internship Downstream Process Development Scientist jobs in Port Richey, FL look for?

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Internship Downstream Process Development Scientist jobs near you
Infographic showing various Internship Downstream Process Development Scientist job openings in Port Richey, FL as of June 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $71,296 per year, or $34.3 per hour.

Data Scientist - TS/SCI

Tampa, FL

STEMboard
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about STEMboardexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Key responsibilities

  • Design, implement, and maintain a data pipeline.

  • Interpret and analyze complex data sets and develop machine learning projects using cloud-native platforms and advanced ML solutions.

  • Research, design, and implement algorithms to solve complex problems and develop predictive and prescriptive models.

Job description

STEMBoard is seeking a Data Scientist with knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. The data scientist work with a team of data scientists and engineers that collect and arrange data in a form that is useful for analytics. A knowledge of machine learning is also desired to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.


Responsibilities:

A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.


Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

  • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
  • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
  • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
  • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
  • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
  • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
  • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
  • plements cloud agnostic data toolsets, Mentors’ data science teams on best data practices, Implements OCI complaint containers, AI/ML pipelines, related storage solutions, and infrastructure as code.


Requirements:

  • Experience: 1+ years of experience with software engineering, data science or related experience.
  • Education: Bachelors or degree in STEM with a preference towards Data Science, Computer Science, or Software Engineering.
  • Tools: Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Security Clearance: minimum of SECRET level
  • Proficient in Agile Development and Git Operations.
  • Demonstrated experience applying data science methods to real-world data problems. 


Benefits:

  • Healthcare, Vision, and Dental Insurance
  • 20 Days of PTO
  • Wellness Hours
  • 401K Matching
  • Training/Certification Reimbursement
  • Short term/Long term disability
  • Parental/Maternity Leave
  • Military Leave
  • Life Insurance


STEMBoard is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation. STEMBoard is an Equal Opportunity/Affirmative Action employer.