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Remote Downstream Process Development Scientist Jobs in Racine, WI

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl's * Additional tasks may be assigned ...

Avidity Science LLC

Sales Coordinator

Waterford, WI · Remote

$55K - $70K/yr

The Sales Coordinator supports the Life Sciences sales team while also providing technical guidance ... Remote, but preferred to be near Waterford, WI. Job Type: Full-time, Remote Key Job ...

ITW

National Sales Manager

Milwaukee, WI · Remote

These talented individuals, many of whom have specialized engineering or scientific expertise ... the PMP process (development plans, annual objective setting, and performance evaluations)

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All JobsRemote Downstream Process Development Scientist JobsRemote Downstream Process Development Scientist Jobs in Racine, WI

Remote Downstream Process Development Scientist information

See Racine, WI salary details

$19

$36

$57

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

As of Jun 19, 2026, the average hourly pay for remote downstream process development scientist in Racine, WI is $36.25, according to ZipRecruiter salary data. Most workers in this role earn between $26.59 and $43.27 per hour, depending on experience, location, and employer.

How does a Remote Downstream Process Development Scientist typically collaborate with onsite laboratory teams?

As a Remote Downstream Process Development Scientist, collaboration with onsite laboratory teams is essential to ensure the smooth transfer of process knowledge, data interpretation, and troubleshooting. Communication is often facilitated through regular video meetings, shared digital lab notebooks, and project management tools. While you may not be physically present for hands-on experiments, you play a crucial role in designing studies, analyzing results, and providing guidance on process optimization. Building strong virtual relationships and maintaining clear, timely communication are key to overcoming challenges related to distance and ensuring project success.

What is the difference between Remote Downstream Process Development Scientist vs Remote Upstream Process Development Scientist?

AspectRemote Downstream Process Development ScientistRemote Upstream Process Development Scientist
Required CredentialsBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in chromatography and purification techniquesBachelor's or Master's in Biochemistry, Chemical Engineering, or related field; experience in cell culture and bioreactor operations
Work EnvironmentLaboratory and pilot plant settings, often collaborative teamsLaboratory and bioreactor environments, often collaborative teams
Industry UsagePharmaceutical and biotech companies focusing on drug purificationPharmaceutical and biotech companies focusing on bioprocessing

The main difference between a Remote Downstream Process Development Scientist and a Remote Upstream Process Development Scientist lies in their focus areas. Downstream scientists specialize in purification and separation techniques, while upstream scientists focus on cell culture and bioreactor processes. Both roles require similar educational backgrounds and are vital in biopharmaceutical development, but they target different stages of the production process.

What are the key skills and qualifications needed to thrive as a Remote Downstream Process Development Scientist, and why are they important?

To thrive as a Remote Downstream Process Development Scientist, you need a strong background in biochemistry, chemical engineering, or a related field, often supported by an advanced degree and experience in bioprocessing. Familiarity with chromatography systems, filtration technologies, and data analysis software, as well as knowledge of regulatory standards like GMP, is typically required. Exceptional problem-solving, project management, and cross-functional communication skills are crucial for remote collaboration and effective process optimization. These competencies ensure the efficient development, scale-up, and transfer of purification processes critical to biopharmaceutical manufacturing success.

What is a Remote Downstream Process Development Scientist?

A Remote Downstream Process Development Scientist is a professional who designs, optimizes, and scales processes for purifying and isolating biological products, such as proteins or antibodies, often in the biotechnology or pharmaceutical industries. They work remotely, leveraging digital tools to collaborate with teams, analyze data, and guide laboratory operations. Their responsibilities include developing protocols, troubleshooting purification steps, and ensuring that processes meet quality and regulatory standards. This role is critical for transforming lab-scale discoveries into commercially viable products.
What are the most commonly searched types of Downstream Process Development Scientist jobs in Racine, WI? The most popular types of Downstream Process Development Scientist jobs in Racine, WI are:
What are popular job titles related to Remote Downstream Process Development Scientist jobs in Racine, WI? For Remote Downstream Process Development Scientist jobs in Racine, WI, the most frequently searched job titles are:
What cities near Racine, WI are hiring for Remote Downstream Process Development Scientist jobs? Cities near Racine, WI with the most Remote Downstream Process Development Scientist job openings:
Remote Downstream Process Development Scientist jobs near you
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 12 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,438 frontline employees who took The Breakroom Quiz

12th of 21 rated department stores

Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.

What You’ll Do

  • Lead exploratory data analysis to cull actionable insights

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models 

  • Fine-tune, optimize and ensure the scalability of models and algorithms

  • Aid in designing experiments to answer targeted questions

  • Identify and drive continuous improvement of key business metrics in an assigned business functional area

  • Drive adoption and usage of data science products and models

  • Translate data science outputs into business outcomes and value delivered

  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development

  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s

  • Additional tasks may be assigned

Addendum

PERSONALIZATION & RECOMMENDATION SYSTEMS

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)

  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)

  • Develop multi-stage ranking approaches, including candidate generation and re-ranking

  • Address cold-start and long-tail challenges in large product catalogs

  • Partner with engineering to support real-time personalization and scalable deployment

Skills & Experience

  • Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products

  • Experience in developing sequential, transformer models and utilizing LLM models in production

  • Understanding of collaborative filtering and learning-to-rank methods

  • Experience optimizing models for GPU / distributed training

  • Familiarity with large-scale datasets and production ML systems

  • Exposure to real-time or low-latency serving environments

  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred

  • Experience with delivering end to end customized ML models in production environment

Required

  • Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 3+ years of progressively complex data science experience

  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods 

  • Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Effective communication and collaboration skills at all levels 

Preferred

  • Master’s degree and/or Ph.D.

  • Retail and Logistics experience

  • Supply chain management

  • Marketing models

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