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Biotech Data Science Jobs in Oregon (NOW HIRING)

H1

OR

... 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 ...

Natera

OR

$79K - $108K/yr

This clinical leadership role shapes the data validation pipeline for our cell-free DNA (cfDNA ... pharmaceutical, biotechnology, or diagnostic industry, with a direct focus on oncology trials

Natera

OR

This clinical leadership role shapes the data validation pipeline for our cell-free DNA (cfDNA ... biotechnology, or diagnostic industry, with a dedicated focus on oncology trials * Deep ...

Natera

OR

... or biotechnology Desirable, but not required: * Prior experience analyzing or modeling DNA methylation data. KNOWLEDGE, SKILLS, AND ABILITIES: * Experience using Python or R for scientific data ...

Natera

OR

$79K - $108K/yr

You will collaborate with cross-functional experts in data science, product, and marketing to shape ... Minimum 10 years of industry experience (pharmaceutical, biotech, or diagnostics). * Minimum 5 ...

Trinity Life Sciences

OR

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

Praxis Precision Medicines, Inc.

OR

You will communicate emerging clinical data, deepen disease state understanding, and identify unmet ... roles in biotech/pharma * Strong ability to learn and communicate scientific and clinical ...

Bruker

... in life science molecular research, in applied and pharma applications, in microscopy and ... Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ...

UNAVAILABLE

... in life science molecular research, in applied and pharma applications, in microscopy and ... Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ...

Natera

OR

You will eliminate the standard boundaries between field data generation and internal pipeline ... biotechnology or pharmaceutical sectors. * Domain Mastery: Exceptional command of cancer biology ...

Kailera Therapeutics, Inc.

OR

... data * Respond to unsolicited medical information requests with accuracy and compliance ... Minimum 2-3 years of pharmaceutical/biotechnology industry experience or relevant experience; MSL ...

Bruker

... in life science molecular research, in applied and pharma applications, in microscopy and ... Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ...

argenx

Medical Science Liaison (Northwest)

Portland, OR · On-site +1

We are building a new kind of biotech company, one that maintains its roots as a science-based ... data, products and trials, and is responsible for engagement with Key Opinion Leaders at academic ...

Praxis Precision Medicines, Inc.

OR · On-site

Deliver accurate, balanced, and compliant scientific exchange on disease state, clinical data, and ... roles in biotech/pharma * Strong ability to learn and communicate scientific and clinical ...

Praxis Precision Medicines, Inc.

OR · On-site

Deliver accurate, balanced, and compliant scientific exchange on disease state, clinical data, and ... roles in biotech/pharma * Strong ability to learn and communicate scientific and clinical ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Oregon

Biotech Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do biotech data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for biotech data science in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the most commonly searched types of Biotech Data Science jobs in Oregon? The most popular types of Biotech Data Science jobs in Oregon are:
What are popular job titles related to Biotech Data Science jobs in Oregon? For Biotech Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Oregon look for? The top searched job categories for Biotech Data Science jobs in Oregon are:
What cities in Oregon are hiring for Biotech Data Science jobs? Cities in Oregon with the most Biotech Data Science job openings:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Oregon as of July 2026, with employment types broken down into 88% Full Time, 4% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Principal Analyst, Data Integration

H1

OR

Full-time

Re-posted 9 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

View All H1 Jobs