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Remote Data Analyst Apprenticeship Jobs in Rochester, NY

micro1 AI

Clinical Pharmacy Technicians

Rochester, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Pharmacovigilance Expert

Rochester, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

DataAnnotation

FP&A Manager - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Mindex

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

Mindex

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

Mindex

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

Iff

Technical Service Account Manager

Rochester, NY · On-site +1

This role is based in United State and is a remote position. You will be part of a collaborative ... Analyze process and laboratory data to identify improvement opportunities and make recommendations

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All JobsData Analyst Apprenticeship JobsRemote Data Analyst Apprenticeship JobsRemote Data Analyst Apprenticeship Jobs in Rochester, NY

Remote Data Analyst Apprenticeship information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do remote data analyst apprenticeship jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data analyst apprenticeship in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Analyst Apprenticeship vs Remote Data Analyst?

AspectRemote Data Analyst ApprenticeshipRemote Data Analyst
CredentialsEntry-level, often no prior experience required, may include training certificationsTypically requires a degree in data analysis, statistics, or related field
Work EnvironmentStructured training program, mentorship, often part-time or internship-basedFull-time remote role, independent work with team collaboration
Employer UsageUsed by companies to train and develop new talentHired as a full employee or contractor for data analysis tasks

The Remote Data Analyst Apprenticeship is an entry-level training program designed to develop skills with mentorship, while a Remote Data Analyst is a full-time role requiring more experience and specific credentials. The apprenticeship offers a pathway into the industry, whereas the analyst position involves performing data analysis independently.

What are the most commonly searched types of Data Analyst Apprenticeship jobs in Rochester, NY?

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Remote Data Analyst Apprenticeship jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 16 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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