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Internship Biotech Data Analyst Jobs in Rutherford, NJ

Essen Medical Associates

Healthcare Analyst

Bronx, NY

$20 - $25/hr

Working knowledge of SQL for querying and extracting data. * Experience using Power BI (academic, internship, or project-based experience acceptable). * Strong analytical and problem-solving skills.

Precision AQ

Senior Data and AI Analyst

Manhattan, NY · On-site

$94.80K - $119.60K/yr

Senior Data and AI Analyst, Investor Relations Position Summary The Senior Data and AI Analyst ... advises biotechnology and healthcare companies on IR strategy in partnership with executive ...

Precision Medicine

Senior Data and AI Analyst

Manhattan, NY · On-site

$94.80K - $119.60K/yr

Senior Data and AI Analyst New York, NY, USA Position Summary The Senior Data and AI Analyst plays ... advises biotechnology and healthcare companies on IR strategy in partnership with executive ...

Precision for Medicine

Senior Data and AI Analyst

New York, NY · On-site

$94.10K - $118.70K/yr

Senior Data and AI Analyst, Investor Relations Position Summary The Senior Data and AI Analyst ... advises biotechnology and healthcare companies on IR strategy in partnership with executive ...

Precision AQ

Senior Data and AI Analyst

New York, NY · On-site

$94.10K - $118.70K/yr

Senior Data and AI Analyst, Investor Relations Position Summary The Senior Data and AI Analyst ... advises biotechnology and healthcare companies on IR strategy in partnership with executive ...

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Internship Biotech Data Analyst information

See Rutherford, NJ salary details

$12

$22

$42

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

As of May 28, 2026, the average hourly pay for internship biotech data analyst in Rutherford, NJ is $22.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $25.00 per hour, depending on experience, location, and employer.

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 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 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 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.

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What job categories do people searching Internship Biotech Data Analyst jobs in Rutherford, NJ look for? The top searched job categories for Internship Biotech Data Analyst jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Internship Biotech Data Analyst jobs? Cities near Rutherford, NJ with the most Internship Biotech Data Analyst job openings:
Internship Biotech Data Analyst jobs near you
Consultant, Data Analytics & AI (51467)

Consultant, Data Analytics & AI (51467)

Citrin Cooperman

Manhattan, NY

Full-time

Posted 7 days ago

Job description

The Consultant, Data Analytics & AI supports the design and delivery of analytics and AI solutions that help clients make better use of their data. This is an entry-level consulting role suited for candidates with a strong academic foundation and early hands-on exposure to data tools. You will work alongside senior practitioners to contribute to client engagements, build your technical depth, and develop an understanding of how analytics creates business value.

Data Analytics & Solution Development

  • Assist in the design and development of data analytics solutions aligned with client business needs.
  • Support the build-out of ETL/ELT pipelines and data models using Microsoft Fabric and related tools.
  • Write and optimize SQL queries for data transformation, validation, and reporting.
  • Contribute to Power BI report and dashboard development, including data modeling and DAX.
  • Help ensure data accuracy and consistency across client environments.

Microsoft Fabric & Cloud Platforms

  • Develop familiarity with Microsoft Fabric and Power BI as core delivery platforms.
  • Support the configuration and testing of cloud data workflows under senior guidance.
  • Stay current on Microsoft Fabric innovations, AI Copilot features, and emerging data capabilities.

Client Engagement & Communication

  • Participate in client meetings and help track open items and action lists.
  • Assist in translating technical findings into clear documentation and presentation materials.
  • Build relationships with client contacts under the direction of project leads.

Project Delivery & Execution

  • Contribute to project workstreams with a focus on quality, timeliness, and attention to detail.
  • Assist with documentation, training materials, and knowledge transfer artifacts.
  • Proactively flag risks or blockers to project leads.
  • Collaborate with cross-functional teams in a professional services environment.

  • Bachelor's degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.

  • 0 to 2 years of experience in data analytics, business intelligence, or a related technical role; internship or academic project experience is considered.

  • Working knowledge of SQL for data querying and manipulation.

  • Exposure to Python for data analysis is a plus.

  • Familiarity with Power BI, Tableau, or similar data visualization tools.

  • Basic understanding of cloud platforms, particularly Microsoft Azure or Microsoft Fabric, is preferred.

  • Strong analytical thinking and problem-solving skills.

  • Clear written and verbal communication with the ability to present ideas concisely.

  • Eagerness to learn in a fast-paced consulting environment with multiple concurrent workstreams.

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, Computer Science, or a related field is a plus.

  • Microsoft certifications such as PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), or DP-900 (Azure Data Fundamentals) are a plus, not a requirement.

  • Exposure to data governance concepts, ETL workflows, or AI-powered analytics through coursework or self-study.

  • Prior internship, co-op, or project experience in a consulting, analytics, or technology environment is a differentiator.

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