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Remote Data Analyst No Experience Jobs in Rochester, NY

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Experience working with cross-disciplinary teams in fast-paced environments. Preferred ...

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No experience required * Free training with no start-up cost * Remote, work from anywhere * Set your own hours * Opportunities coast to coast Inside the portal: * Free training * A simple proven ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Location: 100% Remote (Work From Home) About InsuraTec: InsuraTec is a leading provider in ... No prior experience needed; we offer full training. * Self-Motivated : Must be highly driven and ...

Revenue Operations Analyst

Rochester, NY · On-site +1

$62K - $97K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... Bachelor's Degree in Business Administration, Business Analytics, or equivalent work experience ...

Revenue Operations Analyst

Rochester, NY · On-site +1

$62K - $97K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... Bachelor's Degree in Business Administration, Business Analytics, or equivalent work experience ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

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Remote Data Analyst No Experience information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do remote data analyst no experience jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote data analyst no experience 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 are some common challenges faced by entry-level remote data analysts, and how can they be overcome?

Entry-level remote data analysts often face challenges such as limited opportunities for direct mentorship, difficulty accessing company data systems remotely, and balancing multiple projects without in-person guidance. To overcome these, it is helpful to proactively communicate with team members, seek regular feedback, and utilize collaborative tools like Slack or Microsoft Teams. Additionally, taking advantage of online training resources and documenting your processes can help develop both technical and organizational skills while working remotely.

What are the key skills and qualifications needed to thrive as a remote data analyst with no experience?

To thrive as a remote data analyst with no experience, you need a solid understanding of basic statistics, data interpretation, and proficiency in spreadsheet tools like Excel, often supported by a relevant degree or coursework. Familiarity with data visualization platforms (such as Tableau), beginner-level SQL, and online analytics tools is also valuable. Strong attention to detail, problem-solving abilities, and effective written communication help you stand out in remote environments. These skills ensure accurate data insights, clear reporting, and effective collaboration, which are crucial for success in data-driven roles.

What is a remote data analyst with no experience?

A Remote Data Analyst with no experience is an entry-level professional who works from a remote location to collect, process, and analyze data to help organizations make informed decisions. These individuals typically use tools like Excel, SQL, or basic data visualization software to interpret data and generate simple reports. While they may not have prior work experience, they often possess foundational skills through education, online courses, or self-study. Being remote, they collaborate with teams virtually and are expected to communicate findings clearly and efficiently.

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

The most popular types of Remote Data Analyst jobs in Rochester, NY are:

What are popular job titles related to Remote Data Analyst No Experience jobs in Rochester, NY?

For Remote Data Analyst No Experience jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst No Experience jobs in Rochester, NY look for?

The top searched job categories for Remote Data Analyst No Experience jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Data Analyst No Experience jobs?

Cities near Rochester, NY with the most Remote Data Analyst No Experience job openings:

Infographic showing various Remote Data Analyst No Experience job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 10 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.