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Remote Downstream Scientist Jobs (NOW HIRING)

CINC Systems

Staff Data Scientist

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the largest provider ... inform downstream AI and analytics initiatives • Design experiments and analyses to validate ...

CINC Systems

Staff Data Scientist

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the largest provider ... inform downstream AI and analytics initiatives · Design experiments and analyses to validate ...

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

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 ...

CircleCI

Marketing Data Scientist

$145K - $196K/yr

Model the relationship between product engagement signals and downstream commercial outcomes ... Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce ...

Natera

Senior Bioinformatics Scientist

San Francisco, CA · On-site +1

$117K - $146K/yr

Coordinate directly with downstream infrastructure teams to ensure R&D tools scale efficiently into ... Remote USA $117,400--$146,800 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Natera

Senior Bioinformatics Scientist

$117K - $146K/yr

Coordinate directly with downstream infrastructure teams to ensure R&D tools scale efficiently into ... Remote USA $117,400-$146,800 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... downstream systems * Support advanced AI use cases, including LLM-based solutions, retrieval ...

Corvel

Data Scientist II

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... downstream systems * Support advanced AI use cases, including LLM-based solutions, retrieval ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... downstream systems * Support advanced AI use cases, including LLM-based solutions, retrieval ...

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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 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.

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 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.
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Remote Downstream Scientist jobs near you
Infographic showing various Remote Downstream Scientist job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.
Senior Data Scientist (Insurance Claims)

Senior Data Scientist (Insurance Claims)

Clara Analytics

Remote

$180K - $200K/yr

Full-time

Medical, Retirement, PTO

Posted 17 hours ago

Job description

About CLARA Analytics
CLARA Analytics is the leading AI as a service (AIaaS) provider that improves casualty claims outcomes for commercial insurance carriers and self-insured organizations. The company's product suite for workers comp, commercial auto and general liability insurance claims applies image recognition, natural language processing, and other AI-based techniques to unlock insights from medical notes, bills and other documents surrounding a claim. CLARA's customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2017, CLARA Analytics is headquartered in California's Silicon Valley. For more information, visit www.claraanalytics.com.
About the role
We're seeking a Senior Data Scientist to architect and lead the development of our core Claim Clustering Platform-the intelligence layer that powers how we compare and analyze Bodily Injury (BI) claims across Workers' Compensation, General Liability, and Auto Liability. This is a highly technical, hands-on role where you will design systems that move beyond experimentation into robust, production-grade solutions. You'll collaborate closely with Machine Learning Engineers and MLOps specialists to ensure scalability, reliability, and continuous improvement. You'll also serve as a critical bridge to Data and Application Engineering teams, ensuring seamless integration with downstream systems such as benchmarking and fraud detection.
What You'll Do
  • Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes.
  • Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management.
  • Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems.
  • Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents).
  • Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards.

What We're Looking For
  • 4-7 years in Data Science with a strong track record of deploying models into production environments.
  • Deep experience with casualty claims, including at least 4 years of hands-on work in Workers' Compensation or General Liability. Familiarity with claim lifecycles, medical billing (ICD/CPT), litigation processes, and reserve dynamics is crucial.
  • Strong proficiency in Python and solid software engineering fundamentals, including system design, CI/CD pipelines, and API development/versioning.
  • Expertise in unsupervised learning techniques (clustering, dimensionality reduction) and NLP methods (transformers, embeddings, LLM-based approaches) for analyzing complex, unstructured data.
  • Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams.

What We Offer
  • The opportunity to make a real impact on a growing company.
  • Collaborative and supportive work environment.
  • Competitive compensation package.
    • Salary + Bonus
    • Benefits: generously subsidized health insurance, employer-paid ancillary benefits, flex/unlimited PTO, fully remote, 401k with company match
  • Be a part of a team that is passionate about what we do!

The pay range for this role is:
180,000 - 200,000 USD per year (Remote (United States))

Apply