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Remote Pharma Data Analyst Jobs in Rochester, NY

Deloitte

System Test and Validation Lead

Rochester, NY · On-site +1

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... This compensation range is specific to a remote role and takes into account the wide range of ...

Deloitte

System Test and Validation Lead

Rochester, NY · On-site +1

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... This compensation range is specific to a remote role and takes into account the wide range of ...

Deloitte

System Test and Validation Lead

Rochester, NY · On-site +1

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... This compensation range is specific to a remote role and takes into account the wide range of ...

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

Reports Developer (Power BI) - Remote

Rochester, NY · On-site +1

$70K - $120K/yr

Analyze existing Informer reports to understand business logic, data sources, and intended use ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

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All JobsPharma Data Analyst JobsRemote Pharma Data Analyst JobsRemote Pharma Data Analyst Jobs in Rochester, NY

Remote Pharma Data Analyst information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

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

As of Aug 14, 2026, the average yearly pay for remote pharma data analyst 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 the key skills and qualifications needed to thrive as a remote pharma data analyst?

To thrive as a Remote Pharma Data Analyst, you need strong analytical skills, a background in life sciences or statistics, and proficiency in data management, often supported by a relevant degree. Familiarity with data analysis tools like SAS, R, Python, and pharmaceutical databases, along with certifications such as SAS Certified Specialist, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating remotely. These skills ensure accurate data insights, regulatory compliance, and effective support for decision-making in pharmaceutical research and business operations.

Is it possible to work remotely as a remote pharma data analyst?

Yes, remote pharma data analysts can work from home, as many companies in the pharmaceutical and healthcare sectors offer remote positions. These roles typically require strong analytical skills, proficiency with data tools like SQL or Excel, and often involve collaboration through virtual communication platforms. Remote work arrangements depend on the employer's policies and the specific job requirements.

What does a remote pharma data analyst do?

A Remote Pharma Data Analyst is responsible for collecting, analyzing, and interpreting data related to pharmaceutical products, clinical trials, and market trends from a remote location. They use statistical tools and software to identify patterns, support research, and help pharmaceutical companies make data-driven decisions. Their work often involves collaborating with cross-functional teams, preparing reports, and ensuring data accuracy and compliance with industry regulations.

How do remote pharma data analysts effectively collaborate with cross-functional teams despite working offsite?

Remote Pharma Data Analysts frequently collaborate with clinical researchers, regulatory teams, and IT professionals using digital communication tools like video conferencing, shared dashboards, and project management software. Regular virtual meetings and clear documentation help ensure everyone stays aligned on project goals and timelines. Building strong working relationships remotely often requires proactive communication and the ability to explain complex data findings in a clear, actionable way. This collaborative approach not only enhances data accuracy but also supports faster decision-making in pharmaceutical projects.

What is the difference between Remote Pharma Data Analyst vs Remote Clinical Data Coordinator?

AspectRemote Pharma Data AnalystRemote Clinical Data Coordinator
Required CredentialsBachelor's in Life Sciences, Data Analysis certificationsBachelor's in Health Sciences, Data Management certifications
Work EnvironmentPharmaceutical companies, CROs, biotech firmsClinical trial sites, CROs, pharmaceutical companies
Employer & Industry UsageData analysis, reporting, drug developmentData collection, database management, trial coordination
Common Search & Comparison IntentUnderstanding roles in pharma data analysisClarifying clinical data management tasks

The Remote Pharma Data Analyst primarily focuses on analyzing and interpreting pharmaceutical data to support drug development and regulatory submissions. In contrast, the Remote Clinical Data Coordinator manages and maintains clinical trial data, ensuring accuracy and compliance. Both roles require strong data management skills and industry knowledge but differ in their specific responsibilities within the pharmaceutical and clinical research sectors.

How to become a remote pharma data analyst?

To become a remote pharma data analyst, you typically need a bachelor's degree in a related field such as life sciences, statistics, or data analysis. Developing skills in data management tools like Excel, SQL, and statistical software, along with knowledge of pharmaceutical industry regulations, is essential. Gaining experience through internships or entry-level roles can also improve your prospects for remote work in this field.

What are popular job titles related to Remote Pharma Data Analyst jobs in Rochester, NY?

For Remote Pharma Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Pharma Data Analyst jobs in Rochester, NY look for?

The top searched job categories for Remote Pharma Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Pharma Data Analyst jobs?

Cities near Rochester, NY with the most Remote Pharma Data Analyst job openings:

Remote Pharma Data Analyst jobs near you
Infographic showing various Remote Pharma Data Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 67% Full Time, 11% Part Time, 7% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, NY • Remote

$90 - $120/hr

Part-time

Posted 17 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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