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Internship Biotech Data Analyst Jobs in Oregon (NOW HIRING)

REQUIREMENTS - 8-12+ years in data-focused roles at healthcare data companies, pharma/biotech data ... Analytical fluency to assess data quality; hands-on experience with tools such as VBA, R, or SPSS;

$99K - $117K/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

Salem, OR · On-site

$99K - $117K/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 ...

$104K - $123K/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

Portland, OR · On-site

$104K - $123K/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 ...

$104K - $123K/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

Gresham, OR · On-site

$104K - $123K/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

Eugene, OR · On-site

$98K - $117K/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

Gresham, OR · On-site

$104K - $123K/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 ...

$98K - $117K/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

Salem, OR · On-site

$99K - $117K/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

Portland, OR · On-site

$104K - $123K/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

Eugene, OR · On-site

$98K - $117K/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 ...

This internship provides a valuable opportunity to gain hands-on experience in the field of ... analyzing data and generating reports to identify opportunities and make data-driven marketing ...

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 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 collaboration skills, with a desire to work in a regulated, quality-driven ...

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Showing results 1-20

Internship Biotech Data Analyst information

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 Oregon? The most popular types of Biotech Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Internship Biotech Data Analyst jobs? Cities in Oregon with the most Internship Biotech Data Analyst job openings:
Infographic showing various Internship Biotech Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Analyst, Data Integration

H1

OR

Full-time

Re-posted 15 days ago


Job description

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle.  Visit h1.co to learn more about us.
 
The Data & Research team is responsible for the end-to-end lifecycle of H1's data — from source acquisition and onboarding through normalization, entity resolution, and product delivery. Working closely with Engineering, Product, and client-facing teams, this group ensures that every data source H1 adds is evaluated rigorously, integrated accurately, and delivered in a way that creates real value for the healthcare and life sciences organizations that rely on our platform.
 
WHAT YOU'LL DO AT H1

As a Principal Analyst, Data Integration, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. This is a senior IC role at the intersection of data, engineering, and product — the connective tissue between raw data acquisition and what ultimately ships to clients. You will work across Data & Research, Engineering, and Product to define what a new source is, how it maps to H1's schemas, what it can realistically deliver, and what it can't. You will also work directly with client-facing teams to gather requirements before integration decisions are made, translating commercial needs into data specs and data constraints back into product expectations.

You will:
- Lead structured evaluation of new data sources from scratch — assessing schema, coverage, freshness, legal constraints, and fit against H1's product needs before any engineering work begins
- Own field mapping from source to H1's bronze/silver/gold layers, producing data dictionaries, entity definitions, and structural guidance for downstream teams
- Partner with engineering and Data Lake to define ingestion requirements, entity resolution rules, and refresh cadences for new sources
- Gather requirements from client-facing teams and translate them into integration specifications; serve as the authoritative voice on what a new source can and cannot deliver before product commitments are made
- Shepherd each source end-to-end: scoping → QA → entity matching → product launch, including product QA and communicating source capabilities and limitations to product and enablement partners
- Work with the Insights team to develop new taxonomies and QA mechanisms for novel data types
- Define acceptance criteria and lead QA validation including field-level fill rates, count comparisons, and cycle-over-cycle anomaly detection
- Investigate and resolve data quality issues post-integration, coordinating with DART and engineering as needed
- Hand off to the maintaining team with complete mapping documentation; you own onboarding, not ongoing maintenance
- Produce and maintain documentation other people actually use — across scoping assessments, field mapping specs, and post-mortems

ABOUT YOU
You are a senior data professional who has personally owned the full lifecycle of a data integration — not just contributed to one. You are comfortable working across ambiguous, novel data structures and can ramp quickly on new source types each quarter. You operate with strong judgment about where integration risk lives, and you communicate clearly to both technical partners and client-facing stakeholders about what data can and cannot do.
 
REQUIREMENTS
- 8–12+ years in data-focused roles at healthcare data companies, pharma/biotech data vendors, health IT firms, or equivalent
- Demonstrated end-to-end ownership of data integrations built from scratch — scoping, field mapping, QA, and handoff — with documentation to show for it
- Healthcare or life sciences domain context required; ability to ramp on new datasets and source types each quarter without needing deep subject matter expertise upfront
- Analytical fluency to assess data quality; hands-on experience with tools such as VBA, R, or SPSS; SQL a plus but not a primary requirement
- Familiarity with data lake architectures (bronze/silver/gold or equivalent) and how raw data moves through normalization and entity resolution to a product-ready state
- Experience gathering requirements from client-facing stakeholders and translating them into data or product specifications
- Experience at a B2B data company where you understood how external clients consumed your data and where client retention drove decisions
- AWS infrastructure familiarity (Athena, S3, Glue) at a query and inspection level preferred
- Comfort working in Jira or Monday in a ticket-based workflow
- Exceptional written communication — your documentation is legible, maintained, and actually used
 
 
COMPENSATION
This role pays $145,000 to $170,000 per year, based on experience, in addition to equity.
 
Anticipated role close date: 08/25/2026
 
 
 
H1 OFFERS
- Full suite of health insurance options, in addition to generous paid time off
- Pre-planned company-wide wellness holidays
- Retirement options
- Health & charitable donation stipends
- Impactful Business Resource Groups
- Flexible work hours & the opportunity to work from anywhere
- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
 
 
H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
 
H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


H1 logo

About H1

Sourced by ZipRecruiter

Industry

Software development

Company size

201 - 500 Employees

Headquarters location

New York, NY, US

Year founded

2017