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Remote Ili Data Analyst Jobs in Michigan (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Cheminformatics Specialist - Remote

Lansing, MI ยท On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

CONTRACT INSIGHTS ANALYST, MARKETING - 6-MONTH CONTRACT This is a remote position. Work ... You'll spend most of your time working with numbers and data, though comfort with qualitative ...

New

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Three Rivers, MI ยท On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Showing results 41-60

Remote Ili Data Analyst information

What is a Remote ILI Data Analyst?

A Remote ILI Data Analyst is a professional who analyzes data from Inline Inspection (ILI) tools used to assess the condition of pipelines. Working remotely, they review and interpret large datasets to detect anomalies, such as corrosion or cracks, and help ensure pipeline safety and integrity. Their work supports energy companies in maintaining regulatory compliance and preventing leaks or failures. The position requires strong analytical skills, familiarity with pipeline inspection technology, and expertise with data processing software.

What are the key skills and qualifications needed to thrive as a Remote ILI Data Analyst, and why are they important?

To thrive as a Remote Ili Data Analyst, you need strong analytical abilities, a solid grasp of data interpretation, and proficiency in statistics, often backed by a degree in data science, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent problem-solving, communication, and self-motivation are essential soft skills for collaborating remotely and delivering actionable insights. These skills ensure accurate analysis, clear data-driven recommendations, and effective teamwork in a virtual work environment.

What are some common challenges faced by Remote ILI Data Analysts and how can they be addressed?

Remote Ili Data Analysts often encounter challenges such as limited access to on-site data sources, communication barriers with on-site teams, and managing large, complex data sets from a distance. These can be addressed by establishing clear data-sharing protocols, leveraging collaboration tools like video conferencing and project management platforms, and maintaining regular communication with both data providers and stakeholders. Proactively seeking feedback and clarifying data requirements early in a project can also help ensure data accuracy and project success in a remote setting.

What is the difference between Remote Ili Data Analyst vs Remote Ili Data Scientist?

AspectRemote Ili Data AnalystRemote Ili Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in data analysis toolsBachelor's or higher in Data Science, Computer Science, or related; often advanced certifications or degrees
Work EnvironmentRemote, collaborative teams, focus on data reporting and visualizationRemote, research-driven, focus on developing models and algorithms
Employer & Industry UsageUsed across finance, healthcare, marketing for data reportingUsed in tech, research, AI development for predictive modeling

Remote Ili Data Analysts primarily focus on interpreting data, creating reports, and visualizations, while Remote Ili Data Scientists develop complex models and algorithms. Both roles are remote and require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

How much does a remote ili data analyst earn?

A remote ILi Data Analyst typically earns between $50,000 and $80,000 annually, depending on experience, skills, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in data visualization and SQL can earn higher salaries.

Is it easy to get a remote job as a remote ili data analyst?

Securing a remote data analyst position typically requires relevant skills in data analysis tools like Excel, SQL, or Python, along with a strong understanding of data visualization and reporting. While demand for remote data analysts is growing, competition can be high, and having certifications or experience can improve chances of landing such roles.

What are the most commonly searched types of Ili Data Analyst jobs in Michigan?

The most popular types of Ili Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Ili Data Analyst jobs?

Cities in Michigan with the most Remote Ili Data Analyst job openings:

Infographic showing various Remote Ili Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Dearborn, MI โ€ข On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.