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Internship Biotech Data Analyst information

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$12

$22

$42

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

As of Jul 11, 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 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 popular job titles related to Internship Biotech Data Analyst jobs in Rutherford, NJ? For Internship Biotech Data Analyst jobs in Rutherford, NJ, the most frequently searched job titles are:
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
Infographic showing various Internship Biotech Data Analyst job openings in Rutherford, NJ as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $47,719 per year, or $22.9 per hour.
Financial Analyst - Enterprise Data Sales Finance

Financial Analyst - Enterprise Data Sales Finance

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies

Job description

Description & Requirements
We are seeking a highly motivated finance professional to support the Enterprise Data business. This role will play a critical part in delivering financial insights, supporting strategic decision-making, and producing high-quality analysis and reporting for senior stakeholders.
The ideal candidate combines strong financial acumen, analytical rigor, and the ability to translate complex data into clear, actionable insights to drive performance across the Enterprise Data portfolio.
Key Responsibilities
• Own and enhance forecasting and pipeline models specific to the Enterprise Data business, ensuring accuracy and actionable insights.
• Develop quantitative financial analyses to support strategic initiatives, pricing decisions, and growth opportunities within Enterprise Data.
• Support financial planning processes, including quarterly forecasts, annual operating plans (AOP), and long-range planning for Enterprise Data.
• Produce executive-ready reporting and presentations focused on Enterprise Data performance, trends, and key drivers.
• Translate complex financial and sales data into clear business insights and recommendations.
• Establish and track KPIs to measure performance across Enterprise Data products and client segments.
• Partner closely with Enterprise Data sales leadership and cross-functional stakeholders to support commercial strategy and execution.
• Perform variance analysis and ensure consistent financial reporting and controls across the Enterprise Data business.
• Drive continuous improvement in Enterprise Data reporting, forecasting methodologies, and analytics capabilities.
Qualifications & Experience
• 4-8+ years of relevant finance experience, preferably supporting a data, subscription, or sales-driven business.
• Strong financial modeling and analytical skills with experience in forecasting and performance analysis.
• Proven ability to create executive-level materials and communicate insights clearly.
• High attention to detail with strong ownership mindset.
• Ability to work independently and manage multiple priorities.
• Experience with data visualization and analytics tools (e.g., Excel, Qlik, Power BI, or similar).
Key Attributes
• Data-driven problem solver with strong business judgment.
• Comfortable navigating ambiguity and translating it into structured insights.
• Collaborative partner with strong stakeholder management skills.
• Effective communicator who can influence decisions without formal authority.
• Proactive with a continuous improvement mindset.
Salary Range = 85,000 - 120,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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