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Full Time Biotech Data Science Jobs in Portland, OR

e184

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

About us e184 is a biotechnology research company dedicated to overcoming the limits of human ... We operate at the intersection of biology, engineering, and computational science, building ...

e184

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

About us e184 is a biotechnology research company dedicated to overcoming the limits of human ... We operate at the intersection of biology, engineering, and computational science, building ...

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All JobsBiotech Data Science JobsFull Time Biotech Data Science JobsFull Time Biotech Data Science Jobs in Portland, OR

Full Time Biotech Data Science information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do full time biotech data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full time biotech data science in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a full time biotech data science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What are the key skills and qualifications needed to thrive as a full time biotech data scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

What are the most commonly searched types of Biotech Data Science jobs in Portland, OR?

The most popular types of Biotech Data Science jobs in Portland, OR are:

What are popular job titles related to Full Time Biotech Data Science jobs in Portland, OR?

For Full Time Biotech Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Full Time Biotech Data Science jobs in Portland, OR look for?

The top searched job categories for Full Time Biotech Data Science jobs in Portland, OR are:

Full Time Biotech Data Science jobs near you

MES Consultant

Enhanced Information Solutions

Portland, OR • On-site

Full-time

Re-posted 20 days ago

Job description

Company Description
Our Experience
For over 20 years EIS has provided consulting services to dozens of Fortune 500 companies in the biotech, pharmaceutical and medical device industry.
Our Focus
EIS provides consulting expertise for life science manufacturing focused on Manufacturing Execution Systems (MES), Mobile apps, RFID, software programming, automation systems, system integration and software validation.
Our Philosophy
We believe in a simple business philosophy: Listen to our customer's needs and work closely with them to provide the highest quality solutions to help them meet their goals.
Job Description
The full-time Manufacturing Execution Systems (MES) Consultant will focus on providing consulting services for our clients in the biotech and pharmaceutical industries. The MES consultant will work on project teams to assist with the implementation or support of MES and is expected to perform various roles in the software development lifecycle, including programming, project management, software validation and unit testing. In addition, this role requires close interaction with clients and the ability to work and communicate with both team members and external stakeholders.
Qualifications
  • Strong background in computer programming and familiarity with MES software packages such as Honeywell POMS/POMSnet, Werum PAS-X, Rockwell ProPack Data, Camstar, SAP MES or Emerson Syncade
  • Bachelors degree in a relevant area such as Operations, Computer Science, Engineering or Business Administration
  • Understanding of the software development life cycle and familiarity with the various phases such as gathering user requirements, developing software code and/or executing test protocol
  • Ability to travel to client sites when necessary
  • Openness to career development and feedback to promote future job advancement

Travel: Up to 100% based on client location
Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply