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Remote Biomedical Machine Learning Jobs in Indiana

Relativity

Principal Applied Scientist

Indianapolis, IN · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

General Motors

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data‑centric AI projects -- especially ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... our GenAI/AI and machine learning initiatives, connecting cutting-edge technology with real ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

New

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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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 are remote biomedical machine learning jobs?

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 Indiana? For Remote Biomedical Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Indiana look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Remote Biomedical Machine Learning jobs? Cities in Indiana with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you
Infographic showing various Remote Biomedical Machine Learning job openings in Indiana as of June 2026, with employment types broken down into 67% Full Time, 10% Part Time, and 23% Contract. Highlights an 100% Remote job distribution.
Associate Game Developer (Cocos2d) - Remote

Associate Game Developer (Cocos2d) - Remote

micro1 AI

Indianapolis, IN • Remote

$50 - $110/hr

Part-time

Posted 9 days ago

Job description

Job Title: Cocos2d-x Junior Game Developer


Job Type: Contractor


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Develop and refine game logic, mechanics, and features using Cocos2d-x for prototype and production-level projects.
  2. Collaborate closely with the customer's team to provide high-quality real-world input for AI training processes.
  3. Create, modify, and troubleshoot game assets and scenes to support a diverse set of training objectives.
  4. Test, debug, and optimize Cocos2d-x code to ensure robust and efficient gameplay experiences.
  5. Document code and processes thoroughly, ensuring clarity for both technical and non-technical stakeholders.
  6. Engage in open, clear written and verbal communication to report project status and challenges.
  7. Work iteratively in response to feedback, consistently improving deliverables for AI development needs.


Required Skills and Qualifications:

  1. Solid knowledge of Cocos2d-x and hands-on experience with 2D game development workflows.
  2. Strong problem solving and troubleshooting abilities in a game development context.
  3. Experience collaborating remotely with distributed teams in a fast-paced environment.
  4. Excellent written and verbal communication skills, with a focus on clear, concise updates and documentation.
  5. Ability to follow technical specifications and adapt to evolving project requirements.
  6. Understanding of game design principles and player experience optimization.
  7. Self-motivated, detail-oriented, and eager to grow within a dynamic AI training environment.


Preferred Qualifications:

  1. Experience working on projects for AI training or data generation purposes.
  2. Familiarity with additional game engines or programming languages.
  3. Background in collaborating with AI or machine learning specialists.

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