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Remote Machine Learning Engineer Biotech Jobs in Maine

Maximus

Cloud Platform Engineer

South Portland, ME · Remote

$57.75 - $77.25/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Maximus

Cloud Platform Engineer

Augusta, ME · Remote

$55.25 - $73.75/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Maximus

Cloud Platform Engineer

Auburn, ME · Remote

$60 - $80.25/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Maximus

Cloud Platform Engineer

Biddeford, ME · Remote

$58.25 - $78/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Maximus

Cloud Platform Engineer

Bangor, ME · Remote

$56.75 - $75.75/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Maximus

Cloud Platform Engineer

Portland, ME · Remote

$57 - $76.25/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Maximus

Cloud Platform Engineer

Lewiston, ME · Remote

$59.25 - $79.25/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... virtual machine lifecycle activities across large number of VMs, including provisioning ...

Gotham Biotech

Technical Support Agent

Portland, ME · Remote

$30 - $35/hr

... learning in evolving technology landscapes. Responsibilities * Provide first-level technical support via phone, email, chat, and remote desktop tools to end-users experiencing IT issues. * Diagnose ...

Naval Facilities Engineering Systems Command

$131K - $171K/yr

... Learning (CL) points, are required within established timeframes. * This position may require ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Maximus

Appian Developer

Auburn, ME · Remote

This position is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Proactive approach to learning and obtaining higher-level Appian certifications. Preferred Skills ...

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Remote Machine Learning Engineer Biotech information

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 are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Maine? For Remote Machine Learning Engineer Biotech jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Maine look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Maine are:
What cities in Maine are hiring for Remote Machine Learning Engineer Biotech jobs? Cities in Maine with the most Remote Machine Learning Engineer Biotech job openings:
Remote Machine Learning Engineer Biotech jobs near you

Senior AI Programmer Analyst

University of New England Career Opportunities

Biddeford, ME • On-site, Remote

$46.50 - $63/hr

Full-time

Medical, Dental, Retirement, PTO

Posted 2 days ago

Job description

Position Information
Position Type Professional Staff Faculty Track Position Title Senior AI Programmer Analyst Employment Status Full Time Months 12 Campus Portland, ME Description
The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions that advance the university's academic, administrative, and research missions. Reporting to the Director of Data, Intelligence, and Automation or designated ITS leadership, this role serves as a subject matter expert in applied AI and works in close collaboration with ITS teams, academic departments, and institutional stakeholders to deliver responsible, scalable, and impactful AI capabilities. The Senior AI Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data governance requirements, and ethical AI principles
About the University of New England
UNE is Maine's largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state's top provider of health professionals and home to Maine's only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.
Benefits Overview
UNE offers a generous comprehensive benefits package to eligible employees. The package includes varied health and dental plans; a retirement plan that includes up to an 8% match; extensive paid leave including holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits) for additional information regarding UNE's fantastic benefits package.
Responsibilities
AI Development & Implementation
  • Design, build, test, and deploy AI/ML models, pipelines, and applications
  • Develop solutions using large language models (LLMs), generative AI, and retrieval-augmented generation (RAG)
  • Write clean, maintainable code (primarily in Python) following best practices
  • Evaluate and implement AI tools, frameworks, and platforms (e.g., Azure OpenAI, Hugging Face, LangChain)
  • Build and maintain data pipelines to support model training and deployment
Enterprise Integration & Collaboration
  • Integrate AI solutions with enterprise systems (ERP, SIS, CRM, LMS, etc.) using APIs and modern architectures
  • Collaborate with technical teams to ensure solutions are secure, scalable, and high-performing
  • Support data quality efforts and develop monitoring tools to track model performance
AI Governance & Responsible Use
  • Apply responsible AI principles, including fairness, transparency, and data privacy
  • Conduct model evaluations, bias assessments, and risk analyses
  • Ensure compliance with institutional policies and regulations (e.g., FERPA, HIPAA)
  • Contribute to AI governance frameworks and documentation
Technical Leadership & Engagement
  • Serve as a technical resource and mentor for AI-related work
  • Lead knowledge-sharing activities and promote AI literacy across the organization
  • Partner with stakeholders to define use cases and translate technical concepts into clear solutions
  • Participate in projects, working groups, and AI strategy initiatives
  • Other duties as assigned
Qualifications
Bachelor's degree in computer science, information systems, information technology, or a closely related field; or an equivalent combination of education and professional experience.
  • Minimum of three to five years of progressively responsible experience in enterprise systems administration, configuration, development, or support in a complex multi-system environment.
  • Demonstrated experience with at least one major enterprise student information and/or ERP platform (for example, Ellucian Banner, Oracle Student, Workday Student, or equivalent).
  • Experience developing and maintaining system integrations using APIs, ETL tools, middleware platforms, or file-based exchange methods.
  • Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex).
  • Solid understanding of relational database concepts and the ability to write and optimize complex queries for reporting, integration, and troubleshooting purposes.
  • Knowledge of enterprise systems security administration, role-based access control, and data governance principles.
  • Strong analytical and problem-solving skills with the ability to translate functional requirements into effective technical solutions. Excellent written and verbal communication skills with the ability to explain technical concepts and system behavior to non-technical functional partners.
  • Ability to work effectively across organizational boundaries with diverse stakeholders including administrative offices, academic departments, and external vendors.
  • Commitment to data privacy, information security, and institutional policy compliance.
Preferred Qualifications
  • Experience with multiple enterprise platforms spanning student, ERP, SIS, HR, financial, and CRM functions in a higher education setting.
  • Hands-on experience with Salesforce or another enterprise CRM platform, including configuration, custom development, and integration.
  • Familiarity with higher education-specific data standards and reporting requirements (for example, IPEDS, NSC, Common App, state reporting).
  • Experience with identity management and single sign-on integration (for example, LDAP, SAML, Shibboleth, Microsoft Entra ID) as it relates to enterprise system access.
  • Knowledge of cloud-hosted enterprise platform models (SaaS) and experience managing vendor-hosted system environments.
  • Experience supporting or participating in major enterprise system implementations or upgrades.
  • Relevant vendor or platform certifications (for example, Salesforce Administrator, Workday Pro, Ellucian certifications).
  • Experience with agile or iterative delivery methods in an enterprise systems context.
EEO Statement Summary
Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.
Vaccination Statement (PLEASE NOTE)
Employees in clinical settings must meet the State of Maine's immunization requirements for clinical activity.
Additional Note
This position is not eligible for H-1B visa sponsorship.
Posting Detail Information
Posting Number 2022PS0908P Open Date 06/02/2026 Close Date Open Until Filled Yes

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