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Remote Biomedical Machine Learning Jobs in South Carolina

HiddenLayer

Lead Engineer, AI Attack Simulation

Charleston, SC · On-site +1

$95K - $126K/yr

Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Workiva, Inc.

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Consor Engineers

Proposal Coordinator

Columbia, SC · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Consor Engineers

Proposal Coordinator

Columbia, SC · On-site +1

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

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All JobsBiomedical Machine Learning JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in South Carolina

Remote Biomedical Machine Learning information

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a remote biomedical machine learning specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is a remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in South Carolina?

For Remote Biomedical Machine Learning jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Machine Learning jobs in South Carolina look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Biomedical Machine Learning jobs?

Cities in South Carolina with the most Remote Biomedical Machine Learning job openings:

Remote Biomedical Machine Learning jobs near you

Stream Restoration Engineer

Geosyntec Consultants, Inc.

Greenville, SC • On-site, Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Overview

Are you seeking an opportunity to improve the world around you through stewardship of precious natural resources?

We are looking for a mid-career Stream Restoration Engineer to be in one of our following offices: Charlotte, NC; Raleigh, NC; Asheville, NC; Greenville, SC; Johnson City, TN. This opportunity offers a Hybrid work schedule within one of the offices listed. Typical work efforts include planning, design and construction assistance services on various projects including ecosystem restoration, urban stream/wetland improvement, mitigation banking, riverine engineering, stormwater engineering, coastal resiliency, along with associated environmental permitting and compliance. 

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Consistently ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, breadth of expertise, and exceptional client service. 

We invest in our people.  Each employee is unique, and your career at Geosyntec will be too.  We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit: http://www.geosyntec.com/careers/.

Essential Duties and Responsibilities
  • Directing multi-disciplinary project teams;
  • Performing and overseeing detailed fluvial geomorphic, sediment transport, biological, soil science, hydrologic and hydraulic studies;
  • Applying knowledge of CWA mitigation regulations and standard operation procedures (SOPs) for the establishment of stream and wetland mitigation banks within the U.S. Army Corps of Engineers Savannah, Mobile, Charleston, Wilmington, and Nashville Districts;
  • Leading and conducting field investigations and providing construction support services;
  • Developing construction documents, including engineering drawings and technical specifications;
  • Applying and/or directing innovative hydrologic and hydraulic modeling software, from 1-D to 3-D hydrologic, sediment transport and/or morphodynamic models;
  • Interacting with client representatives;
  • Project-level responsibility for scoping, performing, managing and delivering multiple concurrent project assignments;
  • Consistent with our sell-manage-do business model, play a role supporting lead generation, business development, staff development, and mentoring; and
  • Help broaden our reputation via publishing and visibility at prominent industry conferences.
  • Drive personal, company, and rental vehicles to client or company project or office sites, and other business locations, as needed.
Education and Licensure
  • Bachelor's degree in civil, agricultural, biological, or biosystem engineering, natural resources science, hydrotechnical, with emphasis on water resources or closely related discipline. (required)
  • Advanced degree in geology, natural resources science, environmental or civil engineering, with emphasis on water resources or closely related discipline. (preferred)
  • Ability to obtain Professional registration (within 3 years) if not presently held (i.e., P.E., P.G., P.W.S., A.E., C.E., CERP, CPSS and/or CPSC). (preferred)
Skills, Experience and Qualifications
  • At least 5 years (7+ years preferred) of consulting experience in fluvial geomorphology, ecological restoration (riverine/wetland/riparian systems), soil science, biological monitoring, mitigation banking, and natural resources remote sensing; or equivalent combination of education and experience. (required) 
  • Experience planning, conducting field and desktop data collection, data analysis, and application in an engineering context to restore degraded stream/riverine and wetland systems (e.g., developing engineering plans for construction execution). (required)
  • Experience producing Mitigation Plans and/or Mitigation Banking Instrument documents, including related agency (USACE) coordination.(preferred)
  • Significant experience with conducting fluvial geomorphologic assessments in streams and riverine systems (including the various methodologies that can be employed) and using remote sensing GIS toolsets for related analysis. (preferred)
  • Experience with remote sensing/modeling/design tools such as ArcGIS Pro, ArcGIS Hydro, coding in Python (or other code languages), HEC-RAS (1D & 2D), groundwater flow (riparian zones) models, HydroCAD and AutoCAD Civil 3D.  (preferred)
  • Experience with a variety of unmanned aerial systems (UAS) for geospatial data collection (e.g., LIDAR, imagery, etc.) and possessing an FAA remote pilot license (Part 107) or willingness to attain and maintain license. (preferred)
  • Experience with the application of the theory of machine learning and/or artificial intelligence (AI) methods to natural resource data analysis and solution generation. (preferred)
  • Strong oral and technical writing skills. (required)
  • Valid U.S. driver's license and a satisfactory driving record for business travel. (required)

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Employment Type: FULL_TIME

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