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Remote Marine Data Science Jobs in Tennessee (NOW HIRING)

Research Associate 2

Oak Ridge, TN ยท On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

Sr. Data Engineer - CX Analytics

Chattanooga, TN ยท Remote

$104K - $125K/yr

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Work closely with the data scientists and business partners to understand the business problem they ...

Nurse Practitioner: Remote Urgent Care

Nashville, TN ยท On-site +1

$107K - $147K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Senior Product Manager, Agentic AI

Franklin, TN ยท Remote

$122K - $161K/yr

Remote-USA Position Summary The Product Manager, Agentic AIis responsible fordriving the definition ... Collaborate with Data Engineering and Data Science leads on shared initiatives, including data ...

Showing results 41-60

Remote Marine Data Science information

What are some common challenges faced by remote marine data scientists, and how can they be addressed?

Remote marine data scientists often encounter challenges such as limited access to real-time field data, large and complex datasets, and the need for effective collaboration with interdisciplinary teams. To overcome these, it's essential to leverage robust cloud computing tools for data storage and analysis, establish clear communication channels with field researchers, and stay updated with the latest marine data platforms and software. Building strong collaborative relationships and regularly participating in virtual team meetings can also help bridge the gap between remote and on-site team members.

What are the key skills and qualifications needed to thrive as a remote marine data scientist?

To excel as a Remote Marine Data Scientist, you need a strong background in marine science, statistics, and data analysis, typically supported by a relevant degree such as oceanography, marine biology, or data science. Familiarity with programming languages like Python or R, GIS software, and remote sensing tools is commonly required, along with experience using cloud-based collaboration platforms. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with interdisciplinary teams. These competencies ensure accurate analysis of marine environments, support informed decision-making, and enable efficient remote collaboration.

What is a remote marine data scientist?

A Remote Marine Data Scientist is a professional who analyzes data related to the marine environment, such as oceanographic, biological, or ecological information, while working from a remote location rather than onsite. They use statistical methods, machine learning, and programming skills to interpret large datasets from sources like satellites, sensors, and research vessels. Their work helps inform marine conservation, policy, and scientific understanding of oceans and marine life. Remote positions allow these scientists to collaborate with global teams and access data from anywhere with an internet connection.

How to become a remote marine data scientist?

To become a remote marine data scientist, you typically need a strong background in marine science, data analysis, and programming skills in languages like Python or R. Relevant experience with data modeling, GIS tools, and knowledge of marine ecosystems are also important, along with a bachelor's or master's degree in a related field.

What is the difference between Remote Marine Data Science vs Remote Marine Data Analyst?

AspectRemote Marine Data ScienceRemote Marine Data Analyst
Required CredentialsAdvanced degrees in data science, marine science, or related fields; programming skills in Python/R; statistical knowledgeBachelor's or master's in data analysis, marine science, or related fields; proficiency in Excel, SQL, and basic statistical tools
Work EnvironmentResearch teams, data modeling, algorithm development, often in collaborative or remote settingsData interpretation, reporting, visualization, often in remote or office environments
Employer & Industry UsageResearch institutions, environmental agencies, marine technology companiesMarine research firms, environmental consultancies, government agencies

Remote Marine Data Science involves developing models and algorithms to analyze complex marine data, requiring advanced technical skills. In contrast, Remote Marine Data Analysts focus on interpreting data, creating reports, and visualizations. Both roles are vital in marine industries but differ in technical depth and responsibilities.

Can I work remotely as a remote marine data scientist?

Yes, remote marine data scientists can often work from anywhere with a reliable internet connection, as their tasks typically involve analyzing data, programming, and using tools like Python or R. Many organizations in environmental research, conservation, and maritime industries offer remote positions, especially for professionals with strong analytical skills and experience in data management. However, some roles may require on-site presence for fieldwork or data collection activities.
What cities in Tennessee are hiring for Remote Marine Data Science jobs? Cities in Tennessee with the most Remote Marine Data Science job openings:

Research Associate 2

ORAU

Oak Ridge, TN โ€ข On-site, Remote

$35.19 - $48.95/hr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

APPOINTMENT TYPE: Temporary (Part-Time 20 hr./Week)

LOCATION: Remote U.S. Based Locations)

*SALARY RANGE: $35.19 - $48.95/per hour

IMPORTANT NOTE: Please review the job requirements outlined below very carefully and answer all screening questions when submitting your application for this position. There are some very specific, mandatory requirements candidates must complete to be considered for this opportunity. ADDITIONALLY: Applications MUST be submitted through the ORAU career page at https://careers-oraucareers.icims.com/jobs/3803/research-associate-2/job to be considered.

PURPOSE:

The early career research associate will propose and conduct research under the guidance of a self-selected mentor, that leverages National Institute of Health (NIH) Common Fund datasets and resources to address complex biological questions. The research conducted will center on integrative analysis across multiple NIH Common Fund datasets with a focus on developing computational strategies that enable discovery across independently generated data resources. The early career research associate will contribute to the Common Fund Data Ecosystem (CFDE) community through dissemination of findings, development of reproducible workflows, and active engagement in collaborative initiatives offered through the CFDE community, supporting broader efforts to advance biomedical data integration and reuse.

Often early career research associates encounter complex scientific and technical problems that require independent analysis, critical thinking, and consultation with a research mentor and collaborators. Problems are often novel and do not have established solutions.

Example: Integrating heterogeneous datasets from multiple NIH Common Fund programs that differ in data formats, standards, metadata, and quality. These challenges are resolved by developing computational workflows, applying data harmonization techniques, and using appropriate statistical and bioinformatics methods.


  • Conduct research with a focus on applying computational, bioinformatics, and statistical approaches to address complex biological questions using diverse datatypes including omics (e.g., spatial, multi-omics, single-cell, genomics, transcriptomics, proteomics, metabolomics) and biological entities (e.g., cell, connectivity, tissue, drug, organ).
  • Regular engagement and meetings with selected mentor to ensure guidance on leveraging CFDE data and resources to address complex biological questions, discuss research progress, and alignment with achieving proposed research.
  • Developing publications, conference presentations, reproducible workflows, and other project outputs to the CFDE community and wider research community.
  • Participation in CFDE annual meetings, events, presentations, mentoring opportunities, or other community-facing activities.
  • Other tasks as assigned.

Masterโ€™s degree and 1-2 years of directly related experience. Ph.D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology, Data Science or a closely related field and 0 years of experience. An equivalent combination of education and experience performing duties as described may be substituted for the minimum requirements. *Note: It is REQUIRED that any Ph.D. earned must have been earned within the past 5 years.

 

Important Application Requirements:

 

Applicants must submit a research proposal (limited to one page) describing their planned research. Proposals must include:

  • A description of how the research will use data fromTWOor more CFDE datasets (https://cfdeknowledge.org/r/kc_landing)
  • Any CFDE resources, tools, or support needed to successfully complete the research
  • A summary of the applicantโ€™s prior experience with any omics related data, if any in addition to working with CFDE data (note: prior experience with CFDE data is not required for selection)

NOTE: Proposals and all supporting documentation must be emailed directly to Amy.Loposser@orau.org AND Leah.Hamm@orau.org to be considered.

 

  • Demonstrated research experience in computational biology, data science, bioinformatics, biomedical informatics, molecular biology, or related field, including analysis of complex biomedical datasets, use or development of reproducible computational workflows, scientific publication and presentation, and collaboration with multidisciplinary research teams. Experience gained through doctoral research, postdoctoral training, or equivalent research experience is acceptable.
  • This position requires a blend of biological expertise, computational skills, and collaborative abilities to advance integrative biomedical research using NIH Common Fund data and resources. 
    • Knowledge of computational biology, bioinformatics, data science, molecular biology or a related field, with an understanding of biomedical research and multi-omics data analysis.
    • Demonstrated ability to apply computational, statistical, and analytical methods to integrate and analyze complex biomedical datasets.
    • Proficiency in programming and data analysis tools commonly used in biomedical research (e.g., R, Python, or similar).
    • Strong scientific communication skills, including the ability to prepare publications, presentations, and reproducible research outputs.
    • Ability to work independently under the guidance of a mentor while effectively collaborating with interdisciplinary teams and the broader CFDE community.
    • Strong organizational, critical thinking, and problem-solving skills, with the ability to manage multiple priorities and contribute to collaborative research initiatives.

*The candidateโ€™s starting salary will be determined upon hire and ORAU will use salary survey data, internal comparators, and the candidateโ€™s qualifications to determine salary.

TOTAL REWARDS:

 

ORAU has a strategic approach to providing total rewards to employees through a fair, equitable, and competitive total compensation package. The goal of our total rewards system is to integrate compensation, benefits, work-life balance, performance, recognition, development, and career opportunities to attract, engage, and retain the talent required to achieve ORAUโ€™s business objectives. The benefit component of our total rewards program supports business goals by offering the following benefits based on employee eligibility:

  • Legally required benefits
  • Group Health insurance including Medical, Prescription, Dental, and Vision
  • Retirement plan contribution matching
  • Disability insurance
  • Group life insurance
  • Travel Accident Insurance
  • Section 125 reimbursement accounts
  • Other voluntary employee-paid benefit and insurance offerings

The ORAU total reward package also promotes work-life balance. Mindful of the need for employees to care for themselves and their families, ORAU offers the following additional work-life benefits based on employee eligibility:

  • Telework
  • Paid Time Off (PTO)
  • Paid Holidays
  • Flexible work schedules or compressed work weeks
  • Occupational Health and Wellness Programs
  • Employee Assistance Program

ORAU logo

About ORAU

Sourced by ZipRecruiter

Industry

Public administration

Company size

501 - 1,000 Employees

Headquarters location

Oak Ridge, TN, US

Year founded

1946