2

Remote Downstream Scientist Jobs (NOW HIRING)

Remote/United States About Us Wealth.com is the industry's leading estate planning platform ... for downstream tasks * Finetune and integrate the latest Large Language Models (LLMs) such as ...

next page

Showing results 1-20

Remote Downstream Scientist information

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

To thrive as a Remote Downstream Scientist, you need a strong background in bioprocess engineering, protein purification, and analytical techniques, typically supported by a degree in biochemistry, chemical engineering, or a related field. Experience with purification systems (e.g., chromatography, filtration), laboratory automation software, and familiarity with regulatory standards like cGMP are crucial. Excellent problem-solving, communication, and time management skills help in collaborating virtually and troubleshooting complex processes. These skills ensure efficient development and optimization of bioprocesses, maintaining high product quality and regulatory compliance in a remote work setting.

What are some common challenges faced by Remote Downstream Scientists, and how can they be managed effectively?

Remote Downstream Scientists often encounter challenges related to limited in-person access to laboratory equipment and real-time collaboration with colleagues. Effective time management, strong communication skills, and familiarity with digital collaboration tools are essential to overcome these obstacles. Staying organized, setting clear expectations with team members, and leveraging virtual platforms for data sharing and troubleshooting can help ensure productivity and maintain project momentum, even when working remotely.

What is a Remote Downstream Scientist?

A Remote Downstream Scientist is a professional who specializes in the purification and processing of biological products, such as proteins or vaccines, working primarily from a remote location. Their main responsibilities include developing and optimizing downstream processes, analyzing samples, and ensuring product quality and compliance with regulatory standards. The 'remote' aspect means they use digital tools to collaborate with teams, analyze data, and sometimes operate or monitor equipment virtually. This role is common in biotechnology and pharmaceutical industries where flexibility and advanced technology allow scientists to work efficiently from outside the lab.

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

AspectRemote Downstream ScientistRemote Upstream Scientist
Required CredentialsBachelor's or Master's in Chemistry, Biochemistry, or related field; experience in product developmentBachelor's or Master's in Chemical Engineering, Petroleum Engineering, or related; focus on exploration and extraction
Work EnvironmentLaboratories, R&D centers, or remote collaboration on product formulationExploration sites, production facilities, or remote data analysis of extraction processes
Industry UsagePharmaceuticals, cosmetics, consumer goodsOil & gas, petrochemical industries

Remote Downstream Scientists focus on product development, formulation, and testing in industries like pharmaceuticals and cosmetics. In contrast, Remote Upstream Scientists work on exploration, extraction, and production processes in the oil and gas sector. Both roles require strong scientific credentials but differ in industry focus and work environment.

More about Remote Downstream Scientist jobs
What cities are hiring for Remote Downstream Scientist jobs? Cities with the most Remote Downstream Scientist job openings:
What are the most commonly searched types of Downstream Scientist jobs? The most popular types of Downstream Scientist jobs are:
What states have the most Remote Downstream Scientist jobs? States with the most job openings for Remote Downstream Scientist jobs include:
Infographic showing various Remote Downstream Scientist job openings in the United States as of May 2026, with employment types broken down into 22% Full Time, and 78% Part Time. Highlights an 39% Physical, and 61% Remote job distribution.
Applied Scientist- AI/ML Intern

Applied Scientist- AI/ML Intern

Wealth Inc

Remote

$45 - $55/hr

Full-time

Posted 8 days ago


Job description

Title: Applied Scientist AI/ML Intern
Location: Remote/United States
About Us
Wealth.com is the industry's leading estate planning platform, empowering more than 1,000 wealth management firms to modernize how they talk about estate planning with their clients. As the only tech-led, end-to-end platform built specifically for financial institutions, Wealth.com enables firms to drive scale, efficiency, and measurable client impact. Trusted by some of the largest names in finance, Wealth.com combines proprietary AI, robust security, and deep technological and legal expertise to serve the full range of client needs, from foundational plans to the most sophisticated estate strategies. The company has been widely recognized for innovation and leadership, winning Top Estate Planning Technology and Top Estate Planning Implementation at the 2025 WealthManagement.com Industry Awards, being named the 2024 Best Technology Provider in the Trust category, and earning #1 in estate planning market share in the 2025 Kitces AdvisorTech Study.
Our team is fundamental to our standing as the leading estate planning platform. We cultivate a collaborative and supportive environment, fostering innovation and making Wealth.com a truly enjoyable workplace. Wealth.com is proud to be certified as a Great Place to Work for 2025.
The OpportunityLooking to gain practical, hands-on experience in the field of AI/ML? The Wealth.com Technology Internship Program helps passionate early career professionals gain real-world exposure to applying the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP) in the legal & financial tech sector.
Applied Scientist Interns work collaboratively with Software Engineers and other Applied Scientists to pursue a broad range of AI initiatives. By using a combination of various state-of-the-art natural language and vision models, interns will help build complex legal AI assistants.
Key Responsibilities
  • Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
  • Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
  • Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
  • Design and implement scalable and efficient Q&A RAG frameworks
  • Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems.
  • Effectively communicating and demonstrating work to stakeholders

Required Qualifications
  • Currently pursuing a Bachelor's, Master's OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
  • Experience building sophisticated RAG pipelines with LLMs
  • OR Experience with common machine learning, deep learning frameworks like PyTorch/TensorFlow
  • OR Experience developing and deploying complex AI/ML models to production

Preferred Qualifications
  • Currently pursuing a Master's OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 1+ years related experience (e.g., statistics, predictive analytics, research)
  • 1+ year(s) experience productionizing complex AI/ML models
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
  • 1+ year(s) experience conducting research as part of a research program (in academic or industry settings)

Compensation & Level
$45- $55/ Hour
Wealth is an equal opportunity employer and encourages people from all backgrounds to apply. Should you have a disability or special need that requires accommodation, please let us know.