2

Remote Ai Strategy Jobs in Michigan (NOW HIRING)

Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Collaborate with AI research teams to improve problem-solving strategies and workflows. * Work ...

New

... business strategy. To learn more visit www.onestream.com. Why Join The OneStream Team ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Senior AI Engineer

Grand Rapids, MI · On-site +1

$100K - $137K/yr

... innovation strategy. The future is powered by AI-come build it with us. About Forward Deployed ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Showing results 41-60

Remote Ai Strategy information

What is a remote AI strategy?

A Remote AI Strategy role involves developing and guiding the implementation of artificial intelligence initiatives for an organization while working remotely. Professionals in this position analyze current business processes, identify opportunities for AI integration, and create roadmaps for deploying AI technologies. They collaborate with stakeholders to ensure that AI solutions align with business goals and deliver measurable value. This role requires strong analytical skills, knowledge of AI technologies, and the ability to manage projects and teams remotely.

What are the key skills and qualifications needed to thrive as a remote AI strategist?

To thrive as a Remote AI Strategist, you need a solid understanding of artificial intelligence concepts, data analytics, and strategic business planning, often supported by a degree in computer science, data science, or business. Familiarity with AI platforms, cloud computing tools (like AWS or Azure), and certifications such as AI or machine learning specializations are typically valuable. Strong communication, problem-solving, and project management skills help you collaborate across remote teams and align AI initiatives with business goals. These competencies are crucial for effectively driving AI adoption and delivering measurable business value in a remote work environment.

What is the difference between Remote Ai Strategy vs Remote Data Scientist?

AspectRemote Ai StrategyRemote Data Scientist
Required CredentialsAI/ML certifications, advanced degrees in AI or related fieldsStatistics, data analysis, programming skills, often a degree in data science or related fields
Work EnvironmentStrategic planning, cross-functional collaboration, project managementData analysis, model development, coding, data visualization
Industry UsageTech companies, AI startups, consulting firmsTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding strategic roles in AI projectsTechnical data analysis and modeling skills

Remote Ai Strategy focuses on developing AI strategies, overseeing projects, and aligning AI initiatives with business goals. Remote Data Scientists primarily analyze data, build models, and extract insights. While both roles require technical skills, Ai Strategy emphasizes strategic planning and cross-team collaboration, whereas Data Scientists focus on technical data work.

How do professionals in remote AI strategy typically collaborate across global teams and time zones?

Professionals in Remote AI Strategy often work with colleagues and stakeholders spread across different regions, requiring strong communication and project management skills. Collaboration is commonly facilitated through virtual meetings, shared digital workspaces, and asynchronous communication tools to ensure everyone stays aligned despite time zone differences. It's important to set clear expectations, maintain regular updates, and leverage collaboration platforms to keep projects on track. Adapting to flexible schedules and being proactive in communication are key to overcoming these challenges and ensuring effective teamwork.

What are the most commonly searched types of Ai Strategy jobs in Michigan?

The most popular types of Ai Strategy jobs in Michigan are:

What are popular job titles related to Remote Ai Strategy jobs in Michigan?

For Remote Ai Strategy jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Remote Ai Strategy jobs?

Cities in Michigan with the most Remote Ai Strategy job openings:

Bioinformatics Software Engineer

micro1 AI

Dearborn, MI • Remote

$80 - $110/hr

Part-time

Posted 12 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. 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.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.