ZipRecruiter

Log In

2

Remote Machine Learning Engineer Biotech Jobs in Colerain, NC

All JobsMachine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech Jobs in Colerain, NC

Remote Machine Learning Engineer Biotech information

See Colerain, NC salary details

$28.5K

$116.4K

$174.9K

How much do remote machine learning engineer biotech jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote machine learning engineer biotech in Colerain, NC is $116,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $140,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a Remote Machine Learning Engineer do in the biotech industry?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What cities near Colerain, NC are hiring for Remote Machine Learning Engineer Biotech jobs? Cities near Colerain, NC with the most Remote Machine Learning Engineer Biotech job openings:
Remote Machine Learning Engineer Biotech jobs near you

Training and Development Specialist

Cortina Solutions

Elizabeth City, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

About Us

Be a part of awinning team that provides technical solutions with integrity.Cortina is a government contractor providing technical professional services. But we are so much more than that! Forapproximatelyevery three employees brought on to support the government, we hire an individual froman under-resourced, developing communityand train themto enter the professional job market.


Cortina is very proud of the reach-back it offers to the local community.Not only that, we LOVE our employees and do all we can to ensure they have a great work experience.Come join acompanythat believes in being a part of something bigger than themselves!


Job Description:

The Training & Development Specialist provides instruction, curriculum development, and technical support services to sustain and enhance user proficiency in enterprise logistics and asset management systems (e.g., ALMIS / 1Log Portal). This role supports operational readiness by delivering training, performing data analysis, and ensuring the accuracy and quality of system data across geographically dispersed users. The position requires a combination of instructional expertise, engineering/logistics domain knowledge, and the ability to support both classroom and field operations.


There will be a combination of remote work, office-based work, and field assignments. Extensive travel required.

Job Requirements:

  • Minimum five (5) years experience in USCG aeronautical/ naval engineering practices and procedures as defined in COMDTINST Manual 13020.1 (series) or Naval Engineering Manual, COMDTINST M9000.6 (series).
  • Minimum five (5) years experience in aircraft, cutter/boat.
  • Minimum five (5) years ALMIS/EAL/DSS experience.
  • Minimum two (2) years instructing or providing classroom training.

Preferred Qualifications:

  • Familiarity with configuration management and process documentation.
  • Experience developing e-learning or digital training platforms.
  • Experience supporting large, distributed enterprise systems.

Benefits:

Cortina Solutions is committed to offering comprehensive and affordable benefits to employees and their families.

  • BCBS Medical and Dental Insurance
  • VSP Vision
  • Flexible spending Account (FSA) and Dependent Care Reimbursement
  • Health Savings Account (HSA)
  • Company-paid Life Insurance
  • Company-paid Short and Long Term Disability Insurance
  • Voluntary Term Life Insurance
  • Matching 401(k) Plan
  • Flexible PTO
  • Maternity and Paternity Leave
  • Federal Holidays
  • Company Match on Employee Non-Profit Donations
  • Professional Development

Background Check Requirement:

As our team members work on government sites, all potential candidates are subject to a background screening that fully complies with the Fair Credit Reporting Act.

Apply