ZipRecruiter

Log In

1

Internship Biotech Data Analyst Jobs in Rochester, NY

onsemi

Junior Product Engineer

Livonia, NY

Internship, research, or project experience in the semiconductor or electronics industry ... Experience with data analysis tools such as Excel, JMP, Minitab * Understanding of reliability ...

Sweatpals

Product Manager Internship

Rochester, NY

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

Sweatpals

Product Manager Internship

Geneseo, NY

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

Sweatpals

Product Manager Internship

Rochester, NY · On-site

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

Sweatpals

Product Manager Internship

Geneseo, NY · On-site

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

Danaher

Product Manager Internships

Rochester, NY · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

Danaher

Product Manager Internships

Geneseo, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

Danaher

Product Manager Internships

Rochester, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

Danaher

Product Manager Internships

Geneseo, NY · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

previous page

Showing results 41-60

All JobsBiotech Data Analyst JobsInternship Biotech Data Analyst JobsInternship Biotech Data Analyst Jobs in Rochester, NY

Internship Biotech Data Analyst information

See Rochester, NY salary details

$11

$22

$41

How much do internship biotech data analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship biotech data analyst in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

What types of projects or data sets might I work with as an internship biotech data analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What are the key skills and qualifications needed to thrive as an internship biotech data analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What does an internship biotech data analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.
What are the most commonly searched types of Biotech Data Analyst jobs in Rochester, NY? The most popular types of Biotech Data Analyst jobs in Rochester, NY are:
What are popular job titles related to Internship Biotech Data Analyst jobs in Rochester, NY? For Internship Biotech Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Internship Biotech Data Analyst jobs in Rochester, NY look for? The top searched job categories for Internship Biotech Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Internship Biotech Data Analyst jobs? Cities near Rochester, NY with the most Internship Biotech Data Analyst job openings:
Internship Biotech Data Analyst jobs near you
Infographic showing various Internship Biotech Data Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.

Validation Engineer

Stark Pharma Solutions Inc

Rochester, NY • On-site

Contractor

Posted 18 days ago

Job description

Hi,

My name is Sravani Dasari from Stark Pharma Solutions Inc. We are hiring talent for our client and are currently working on a Validation Engineer position. Please send me your updated resume if you have relevant experience and are interested in this opportunity. The detailed job description is as follows.

Job Title: Validation Engineer
Location: Rochester, NY
Duration: Long Term

Position Overview

We are seeking a motivated and detail-oriented Validation Engineer to support validation activities within a GMP-regulated pharmaceutical, biotechnology, or medical device manufacturing environment. This role will be responsible for equipment qualification, process validation, cleaning validation, utility validation, and computerized system validation while ensuring compliance with FDA regulations, cGMP, GAMP 5, and industry standards. The ideal candidate will possess strong technical documentation skills and collaborate effectively with cross-functional teams to support manufacturing and quality operations.

Key Responsibilities

  • Execute Equipment Qualification activities including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) for manufacturing and laboratory equipment.
  • Develop, review, execute, and maintain validation protocols, test scripts, and final validation reports.
  • Support Process Validation, Cleaning Validation, Utility Validation, and Computer System Validation (CSV) activities.
  • Perform risk assessments using FMEA and support validation lifecycle management.
  • Ensure validation documentation complies with FDA, cGMP, GAMP 5, 21 CFR Part 11, and company quality standards.
  • Investigate validation deviations, support CAPA implementation, and perform root cause analysis.
  • Collaborate with Engineering, Manufacturing, Quality Assurance, Quality Control, and Regulatory Affairs teams to execute validation projects.
  • Review engineering documentation including URS, FS, DS, SOPs, P&IDs, and equipment specifications.
  • Support equipment commissioning, startup, qualification, and process improvement initiatives.
  • Maintain Validation Master Plans (VMP), validation schedules, and project documentation.
  • Participate in internal audits, customer audits, and regulatory inspections.
  • Identify opportunities to improve validation processes, documentation, and compliance activities.

Required Qualifications

  • Bachelor's Degree in Mechanical Engineering, Chemical Engineering, Biomedical Engineering, Biotechnology, Pharmaceutical Engineering, or a related engineering discipline.
  • 2+ years of validation experience within the pharmaceutical, biotechnology, or medical device industry.
  • Hands-on experience with Equipment Qualification (IQ/OQ/PQ), Process Validation, Cleaning Validation, Utility Validation, or Computer System Validation (CSV).
  • Strong understanding of FDA regulations, cGMP, GAMP 5, 21 CFR Part 11, and data integrity requirements.
  • Experience developing, executing, and reviewing validation protocols and reports.
  • Familiarity with deviation investigations, CAPA, change control, and risk assessment methodologies.
  • Experience working in GMP-regulated manufacturing environments.
  • Strong technical writing, analytical, and problem-solving skills.
  • Excellent communication and cross-functional collaboration abilities.
  • Experience with validation management systems such as TrackWise, Kneat, Veeva, DeltaV, SCADA, PLC, or similar platforms is preferred.
  • Knowledge of Lean Manufacturing, continuous improvement, and commissioning & qualification (CQV) practices is an added advantage.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Please follow Stark Pharma Solutions on LinkedIn for the latest job updates:
https://www.linkedin.com/company/99455976/