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Advanced Analytics Remote Jobs in Sebastian, FL (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Palm Bay, FL · Remote

$80 - $140/hr

Solve advanced physics problems from your specialization, delivering rigorous, well-documented ... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ...

L3HHCM20

Supply Chain Analyst Intern

Melbourne, FL · On-site +1

$16.75 - $22.50/hr

Partner with IT and analytics teams to support enhancements to existing tools and help identify ... Intermediate to advanced Excel skills (e.g., advanced formulas, pivot tables, data validation)

micro1 AI

Bioinformatics Software Engineer

Palm Bay, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

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See Sebastian, FL salary details

$50.4K

$103.2K

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How much do advanced analytics remote jobs pay per year?

As of Aug 26, 2026, the average yearly pay for advanced analytics remote in Sebastian, FL is $103,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $128,000.00 per year, depending on experience, location, and employer.

What is an advanced analytics remote job?

An Advanced Analytics Remote job involves using data analysis, statistical modeling, and machine learning techniques to extract insights and support business decisions, all while working from a remote location. Professionals in this role analyze complex datasets, build predictive models, and create data visualizations to help organizations solve problems and identify trends. These positions often require strong skills in programming languages such as Python or R, as well as experience with analytics platforms and data visualization tools.

What are some common challenges faced by professionals in remote advanced analytics roles, and how can they be addressed?

Professionals in remote Advanced Analytics roles often encounter challenges such as effective communication with cross-functional teams, managing data security, and maintaining access to necessary tools and datasets. To address these, it's important to establish clear communication channels, leverage collaboration platforms, and follow strict data governance protocols. Regular virtual meetings and documentation also help ensure alignment and project progress, while proactive engagement with IT teams can resolve technical hurdles quickly.

What are the key skills and qualifications needed to thrive as an advanced analytics professional working remotely, and why are they important?

To excel as an Advanced Analytics professional in a remote setting, a strong background in statistics, data analysis, and a relevant degree (such as in mathematics, computer science, or data science) is essential. Expertise with technical tools like Python, R, SQL, data visualization platforms (such as Tableau or Power BI), and familiarity with cloud analytics services is typically required. Outstanding problem-solving abilities, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and project delivery. These skills ensure that analytical insights are accurate, actionable, and delivered efficiently in a distributed work environment.

What is the difference between Advanced Analytics Remote vs Data Analyst Remote?

AspectAdvanced Analytics RemoteData Analyst Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often certifications in analytics toolsBachelor's in Data, Statistics, or related fields; some certifications preferred
Work EnvironmentRemote, often collaborative with data science teamsRemote, typically individual-focused data analysis tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsRetail, marketing, finance, and healthcare sectors
Common Search & Comparison IntentUnderstanding roles requiring advanced analytics skills remotelyFinding remote data analysis jobs and differentiating roles

Advanced Analytics Remote involves working with complex data models, machine learning, and predictive analytics, often requiring specialized skills and certifications. Data Analyst Remote focuses on interpreting data, creating reports, and supporting decision-making with less emphasis on advanced modeling. Both roles are remote but differ in complexity and technical depth.

Advanced Analytics Remote jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Palm Bay, FL • Remote

$80 - $110/hr

Part-time

Posted 26 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.

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