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Internship Biotech Data Analyst Jobs in Rye, NY (NOW HIRING)

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.

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 ...

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 ...

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 ...

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 Rye, NY salary details

$12

$23

$44

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 Rye, NY is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.96 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.

What cities near Rye, NY are hiring for Internship Biotech Data Analyst jobs? Cities near Rye, NY with the most Internship Biotech Data Analyst job openings:
Growth Strategy Analyst, GTM Data

Growth Strategy Analyst, GTM Data

Charlie Health

New York, NY

Other

Posted 9 days ago


Charlie Health rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

About the Role

As a member of the Growth Strategy team, you'll support Charlie Health's national expansion by helping drive territory design, role scoping, and account assignment for our Outreach team - and you'll do it with a heavy AI-assisted, data-driven lens. You'll build the models, analyses, and tooling that determine where we hire, how many roles we open each month, and how we structure rep coverage based on data, market opportunity, and growth objectives.

You'll lead territory builds, support regional reshuffling, and partner cross-functionally with Outreach leadership, Talent Acquisition, and Sales Ops to ensure accounts are assigned efficiently and roles are released on a strategic cadence aligned with company OKRs. You'll also work closely with RevOps (Systems & Automation), Analytics, and Data Science - building on top of the platforms, data infrastructure, and AI tooling stack RevOps owns; pulling from central data sources and aligning on metric definitions with Analytics; and leaning on Data Science for advanced modeling when needed. The differentiator in this role is your toolkit and how you wield it: you'll use Claude and other AI tools alongside low-code platforms like Hex, Retool, and n8n to build TAM models, account-scoring frameworks, capacity models, and rep performance analytics - shipping analytical assets fast without needing to write production code from scratch.

You'll also contribute to broader Growth Strategy initiatives related to market expansion, workforce planning analytics, and operational efficiency across the Outreach organization. You'll be given a high level of autonomy and responsibility, and we expect you to "think like an owner" - applying business judgment, not just executing analysis.

We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives, apply today.

Responsibilities

  • Support territory mapping and book building for the Outreach team, using data and analytical models to ensure rep coverage is structured thoughtfully and deployed effectively
  • Build and maintain the core analytical assets that drive workforce planning - TAM models, account scoring, capacity models, coverage gap analyses, and rep performance analytics - using AI-assisted tooling and low-code platforms
  • Partner with Outreach leadership, Talent Acquisition, and Sales Ops to translate analytical outputs into clear recommendations on where to hire, when to open roles, and how to align coverage with growth priorities
  • Work closely with RevOps (Systems & Automation), Analytics, and Data Science to build on shared platforms and data infrastructure, align on data sources and metric definitions, and lean on advanced modeling when needed
  • Own the account cycling process - regularly auditing book composition, flagging stale or low-priority accounts, and surfacing reassignment or removal recommendations to ensure rep books stay accurate and well-calibrated to market opportunity
  • Use market intelligence datasets to size addressable markets, identify coverage gaps, and pressure-test TAM assumptions underlying territory and hiring decisions
  • Use Claude, Hex, Retool, n8n, and similar tools to automate manual workflows, scale account research, analyze rep activity and outcomes, and build self-serve analytics for the broader team
  • Conduct experiment analysis and quantitative diagnostics on Outreach performance to surface where coverage, books, or hiring decisions need to change
  • Improve territory mapping, workforce planning, and book-building processes through scalable, AI-assisted enhancements
  • Apply sound business judgment when data is incomplete or ambiguous, and prepare clear, defensible recommendations for Growth Strategy leadership and stakeholders

Requirements

Must-Haves

  • Bachelor's degree
  • 0-2 years of full-time experience (or relevant internship experience) in a hands-on technical/analytical role: GTM/RevOps analytics, growth or BizOps at a startup, analytics engineering, applied data science, or similar
  • Hands-on experience building with modern AI tools - Claude, ChatGPT, or similar - including writing prompts, chaining outputs, and automating analytical workflows. Concrete examples expected
  • Demonstrated experience building in low-code or no-code platforms - Hex, Retool, n8n, Zapier, Make, AppSheet, or similar. Bonus if applied to mapping, territory design, or sales/operations workflows
  • SQL literacy - able to read, debug, and validate queries (including AI-generated ones), and write basic queries when needed. Hex + AI-assisted environments are the expected daily driver
  • Strong analytical instincts and the ability to translate ambiguous business questions into models, dashboards, or tooling
  • Sound business judgment - comfortable making logical calls when data is incomplete, and able to translate analytical output into defensible recommendations
  • Microsoft Office proficiency - Word, PowerPoint, Excel

Nice-to-Haves

  • Experience with TAM modeling, capacity planning, account scoring, or forecasting
  • Exposure to mapping or territory tools (eSpatial, MapAnything, Maptive, or similar)
  • Experience with BI tools (Tableau, Looker, or similar)
  • Python or R experience (not required - Hex + AI handle most of what would otherwise require it)
  • Prior exposure to GTM strategy, sales ops, RevOps, consulting, or banking environments - a plus, not a requirement, and only meaningful when paired with the must-haves above
Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The target base compensation for this role will be between $75,000 and $100,000 per year at the commencement of employment. In addition to base compensation, this role offers a target performance-based bonus. The target total cash compensation range, including potential bonus, will be between $82,000 and $110,000 per year. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID


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