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Remote Downstream Scientist Jobs (NOW HIRING)

Generate data products suitable for use by downstream scientific stakeholders (e.g., stock ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

... downstream effects that cannot be safely tested before action is taken. Traditional analytical ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... and support downstream analytics and search solutions. * Collaborate with data engineers to ...

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

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 ...

Have a remote spot that can fall in the scientist or analyst realm with heavy work in Microsoft ... Experience analyzing, filtering, and preparing data for downstream use. * Comfort working in legal ...

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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 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.
Data Scientist

Full-time

Medical, Dental, PTO

Posted 17 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer