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Internship Biotech Data Analyst Jobs in Reno, NV

Digital Analyst Internships

Sparks, NV

$100.70K - $119.10K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Carson City, NV

$96.50K - $114.10K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

Minimum of 1 years' experience with predictive analytics or other data analytics. Education and Internships will qualify. * Proficient in SQL * Excellent knowledge of and experience with relational ...

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

Minimum of 1 years' experience with predictive analytics or other data analytics. Education and Internships will qualify. * Proficient in SQL * Excellent knowledge of and experience with relational ...

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

Minimum of 1 years' experience with predictive analytics or other data analytics. Education and Internships will qualify. * Proficient in SQL * Excellent knowledge of and experience with relational ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

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Showing results 1-20

Internship Biotech Data Analyst information

See Reno, NV salary details

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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 Reno, NV is $22.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 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 are the most commonly searched types of Biotech Data Analyst jobs in Reno, NV? The most popular types of Biotech Data Analyst jobs in Reno, NV are:
What cities near Reno, NV are hiring for Internship Biotech Data Analyst jobs? Cities near Reno, NV with the most Internship Biotech Data Analyst job openings:

Manager - Biotech Valuation & Analytics

RNA Advisors

Reno, NV

Full-time

Posted 27 days ago


Job description

To Apply

Please submit your cover letter and resume to admin@rnaadvisors.com. Only complete applications sent to this address will be considered.

Position Overview

RNA Advisors, LLC seeks a Manager to lead valuation engagements across the full lifecycle of biotech and pharmaceutical equity—from preclinical-stage private companies through late-stage public enterprises—and to serve as a front-line ambassador for RNA Advisors' hybrid consulting and AI-enabled intelligence platform. You will help clients understand how clinical, regulatory, and commercial phase transitions reshape the risk and value profile of their equity, and you will leverage RNA Advisors' integrated tools to deliver faster, more defensible outcomes.

The ideal candidate combines deep valuation expertise with the ability to articulate the opportunities and advantages of working within a technology-enabled intelligence ecosystem, guiding prospective and existing clients through the transition from traditional advisory relationships to RNA Advisors' platform-powered service model. This role sits at the intersection of technical delivery and client development, and candidates should expect to contribute meaningfully to both.

Key Responsibilities

• Lead valuation engagements spanning the biotech equity lifecycle, from early-stage venture-backed companies navigating IND filings and proof-of-concept data through late-stage public companies facing commercial launch, lifecycle management, and M&A considerations.

• Develop and communicate frameworks for understanding how clinical phase transitions, regulatory milestones, and commercialization events drive shifts in equity value, risk profile, and ownership structure.

• Build and maintain financial models using option-based allocation methods, probability-weighted scenario analyses, discounted cash flow techniques, and comparable benchmarking with defensible assumptions; ensure all deliverables are audit-ready and meet technical, editorial, and visual standards.

• Serve as a primary client advisor, guiding both prospective and current clients through RNA Advisors' hybrid consulting and technology model—demonstrating how platform capabilities enhance the speed, depth, and rigor of traditional advisory services.

• Lead client demos, onboarding sessions, and discovery conversations that articulate the value proposition of RNA Advisors' integrated valuation, ownership intelligence, and real-world evidence tools.

• Conduct competitive and market research across pipelines, clinical trials, pricing, reimbursement, and regulatory pathways using RNA Advisors' AI-enabled intelligence capabilities.

• Support the transition of existing consulting engagements into platform-enabled workflows, identifying opportunities to embed RNA Advisors' tools into recurring client processes.

• Contribute to business development through proposals, case studies, and relationship-building, with a focus on communicating how RNA Advisors' model creates differentiated outcomes for clients.

• Provide structured feedback to the product team on client needs, workflow gaps, and platform usability to inform ongoing product development.

• Refine methodologies, templates, and benchmarks; codify best practices that integrate platform tools into standard engagement workflows.

• Mentor and develop junior team members through structured feedback, skills roadmaps, and training on modeling, research, writing, and client communication.

Qualifications

• 5–9+ years of experience in biotech or pharmaceutical valuation, life sciences consulting, corporate strategy, equity research, transaction advisory, or similar roles with exposure to companies across development stages.

• Strong financial modeling experience, including fluency with option-based allocation frameworks for multi-class equity structures, probability-weighted scenario modeling across clinical and regulatory outcomes, discounted cash flow analysis incorporating risk-adjusted pipeline economics, and comparable company and transaction benchmarking as applied to life sciences equity.

• Deep familiarity with drug development lifecycles, clinical phase transitions, regulatory milestones, and their impact on equity value and risk.

• Advanced degree (MBA, MS, PhD) in Finance, Life Sciences, or a related field preferred; undergraduate degree in a quantitative or scientific discipline required.

• Technical fluency with Excel and PowerPoint; experience with Python, SQL, or data visualization tools (Tableau, Power BI) is a plus.

• Strong written and verbal communication skills with the ability to translate complex scientific and financial dynamics into clear narratives for C-suite executives, investors, and board members.

• Demonstrated ability to navigate ambiguity, frame problems, and prioritize high-impact analysis in a fast-paced, entrepreneurial environment.

• Comfort operating at the intersection of advisory delivery and technology adoption, with a track record of helping clients embrace new tools or workflows.

Preferred Skills

• Demonstrated ability to communicate the value of technology-enabled services to senior stakeholders, including translating platform capabilities into client-relevant language.

• Experience with financial databases and clinical/regulatory sources (e.g., Capital IQ, PitchBook, Evaluate Pharma, ClinicalTrials.gov, FDA/EMA documents).

• Experience with AI tools for research, drafting, data analysis, and quality control.

• Exposure to cap table management, equity structuring, or venture-backed company dynamics.

Compensation & Benefits

Base salary: $150,000 – $200,000, commensurate with experience. Performance bonus eligibility in addition to base. Full relocation assistance and comprehensive benefits provided.

Work Environment & Culture

At RNA Advisors, LLC, we are building the infrastructure layer for life sciences intelligence. Our team operates with the rigor of professional services and the velocity of a technology company. We believe the future of biotech advisory lies in the integration of deep domain expertise with AI-enabled tools—and we are looking for people who are energized by helping clients experience that future firsthand.

We value intellectual curiosity, collaborative problem-solving, and a commitment to translating complex data into clear, high-impact outcomes.

Location & Travel

Reno/Tahoe, NV. In-office 3–4 days per week; relocation required. Periodic travel to client sites and team meetings as needed. Must be legally eligible to work in the U.S. on a permanent basis without sponsorship.