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Biotech Data Analyst Jobs in Oregon (NOW HIRING)

H1

OR · On-site

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;

Natera

Senior Software Engineer (Data & AI Solutions)

OR · On-site +1

$122K - $161K/yr

Design, build, and maintain the data products that support R&D, analytics, Lab and scientific ... Bachelor's or Master's degree in computer science or bioinformatics with healthcare or biotech data ...

Bruker

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

UNAVAILABLE

Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ...

Trinity Life Sciences

Partner, Analytics

OR · On-site +1

... commercial data solutions, data science). Trinity is investing in expanding our Analytics ... pharma/biotech needs (e.g., customer engagement, forecasting, insights democratization) Build ...

Lonza

Supervisor Analytical Chemistry

Bend, OR · On-site

Summary Lonza Pharma & Biotech is currently seeking a Supervisor, Analytical Chemistry for our ... Ensure data is managed and evaluated, including the creation, review and trending of stability ...

Natera

Staff Scientist, Bioinformatics/RWD

OR · On-site +1

Manage large datasets and ensure data integrity and confidentiality. * AI & Predictive Analytics ... Knowledge of translational medicine and/or early discovery in the biotech or pharmaceutical ...

Telix Pharmaceuticals (AMER)

OR · On-site

... biotechnology industry by leading/influencing high-performing teams. With a deep understanding of ... Data Analysis * Monitoring performance metrics * Establishing trending programs * Performing ...

Genentech

Principal Project Scheduler

Hillsboro, OR · On-site

$119K - $222K/yr

As Lead Scheduler, you will be the scheduling expert and strategic partner for complex biotech ... You bring excellent analytical skills with the ability to interpret complex data, provide ...

Spyre Therapeutics

Senior Director, Biostatistics

OR · On-site +1

$290K/yr

... analysis results and data files. Key Responsibilities * Lead the biometrics team including ... within the pharmaceutical, biotech, or CRO industry. * Strong knowledge of statistical ...

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All JobsBiotech Data Analyst JobsBiotech Data Analyst Jobs in Oregon

Biotech Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do biotech data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for biotech data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is a biotech data analyst in biotechnology?

A biotech data analyst in biotechnology is a professional who collects, processes, and interprets biological data to support research and development. They often use statistical tools, programming languages like R or Python, and laboratory data to identify trends, optimize processes, and inform decision-making in biotech companies or research institutions.

How to become a biotech data analyst?

To become a biotech data analyst, typically a bachelor's degree in biology, data science, statistics, or a related field is required. Developing skills in data analysis tools such as R, Python, or SQL, along with understanding biological concepts and gaining experience through internships or projects, can improve job prospects. Some roles may also require knowledge of laboratory processes or biotech software platforms.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

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 are popular job titles related to Biotech Data Analyst jobs in Oregon?

For Biotech Data Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Biotech Data Analyst jobs in Oregon look for?

The top searched job categories for Biotech Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Biotech Data Analyst jobs?

Cities in Oregon with the most Biotech Data Analyst job openings:

Biotech Data Analyst jobs near you
Infographic showing various Biotech Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Principal Analyst, Data Integration

H1

OR • On-site

Full-time

Re-posted 21 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.

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About H1

Sourced by ZipRecruiter

Industry

Software development

Company size

201 - 500 Employees

Headquarters location

New York, NY, US

Year founded

2017

View All H1 Jobs