OR · On-site
$114K - $137K/yr
Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models, and translate them into ...
... of data structures, algorithm design, and computational complexity. * Strong Python programming ... scalable bioinformatics pipelines. * Extensive experience in distributed computing and cloud ...
OR · On-site
The Bioinformatics Production Analyst performs basic data analysis to provide bioinformatics ... Bachelor's degree in Biomedical Engineering, Computer Science, Bioinformatics, or a related ...
... data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
... data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
Informatician 3
Portland, OR · On-site
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
$79K - $131K/yr
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
$79K - $131K/yr
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
Informatician 3
Portland, OR · On-site
Proficient skill with existing bioinformatics tools (FastQC, BWA, GATK, BLAST, samtools, bedtools, bcftools, freebayes, etc.). * Strong R and/or Python programming skills with emphasis on data ...
... data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
... data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
Computational Biologist 3
Portland, OR · On-site
... data analysis * Must be technically proficient in programming, computational biology and bioinformatics Ability to take initiative, prioritize tasks, work independently, use good judgment and monitor ...
Computational Biologist 3
Portland, OR · On-site
... data analysis * Must be technically proficient in programming, computational biology and bioinformatics Ability to take initiative, prioritize tasks, work independently, use good judgment and monitor ...
Familiarity with data validation, NGS file formats (e.g., FASTQ, BAM, VCF), and/or bioinformatics ... Experience working cross-functionally with engineering, bioinformatics, and quality teams
... data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics ... Good programming experience in SAS. * Experience with other software languages (e.g., Unix scripts ...
... data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics ... Good programming experience in SAS. * Experience with other software languages (e.g., Unix scripts ...
... data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics ... Solid understanding of programming practices (including tools and processes), relevant health ...
... data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics ... Solid understanding of programming practices (including tools and processes), relevant health ...
Supporting statistical programming to generate innovative means of data standardization ... Master's degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics ...
Supporting statistical programming to generate innovative means of data standardization ... Master's degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics ...
OR · On-site
Provide technical leadership and data execution support for strategic external collaborations ... PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a highly ...
... data-driven findings clearly to cross-functional stakeholders QUALIFICATIONS: * PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related ...
A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.
A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.
A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.
A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.
A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.
A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.
... OR bioinformatic methods to biological data Professional Competencies Ability to work effectively ... programming language such as R Experience independently planning and executing marine field ...
... OR bioinformatic methods to biological data Professional Competencies Ability to work effectively ... programming language such as R Experience independently planning and executing marine field ...
Bioinformatics Data Engineer information
How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?
Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.
What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?
| Aspect | Bioinformatics Data Engineer | Bioinformatics Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills | Bachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills |
| Work Environment | Data pipelines, database management, software development | Data interpretation, report generation, biological data analysis |
| Employer & Industry Usage | Biotech companies, research labs, pharma | Research institutions, healthcare, biotech |
| Common Search & Comparison | Focuses on data infrastructure and pipelines | Focuses on biological data interpretation |
The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.
What is a Bioinformatics Data Engineer?
A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.
What are the key skills and qualifications needed to thrive as a Bioinformatics Data Engineer, and why are they important?
To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Oregon? For Bioinformatics Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Oregon look for? The top searched job categories for Bioinformatics Data Engineer jobs in Oregon are:
- Bioinformatic Remote
- No Experience Data Science
- Remote Data Scientist Graduate
- Senior Clinical Bioinformatics
- Executive Data Scientist Experimentation
- Remote Clinical Bioinformatics
- Entry Level Bioinformatics Computational Biology
- From Home Computational Social Scientist
- Assistant Cancer Bioinformatics
- Senior International Data Scientist
What cities in Oregon are hiring for Bioinformatics Data Engineer jobs? Cities in Oregon with the most Bioinformatics Data Engineer job openings:
$114K - $137K/yr
Other
Posted 16 days ago
Natera rating
7.7
Based on 35 frontline employees who took The Breakroom Quiz
50th of 103 rated laboratories
Job description
Head of Data Engineering & Platform, Real-World Data (RWD)POSITION SUMMARY
Natera is seeking a leader to head Data Engineering and Platform for Real-World Data (RWD). This role will in partnership with Product drive the strategy and roadmap for the RWD platform and lead the development, operation, and delivery of data products that support clinical, research, and business priorities. The ideal candidate brings strong engineering leadership, deep technical expertise, and experience building reliable, scalable data platforms in healthcare or life sciences environments.
This leader will oversee a team focused on data engineering, data platform development, and data delivery, and will partner closely with product, bioinformatics, analytics, and AI teams to build data solutions that are useful, reliable, and easy to consume across the organization.
RESPONSIBILITIESLead, mentor, and grow a team of data engineers and SQA, with a focus on strong engineering practices, career development, and operational ownership.
Define and drive the strategy and roadmap for the Real-World Data platform, including capabilities that support research and analytics, rapid data mart development, and secure data de-identification and sharing.
Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models, and translate them into scalable platforms, production-grade pipelines, and reusable data products for clinical, molecular, genomic, and real-world data.
Lead the delivery of curated datasets, data marts, and consumer-facing data solutions, defining data SLAs and service expectations to ensure products are reliable, timely, well-documented, and fit for downstream use.
Provide technical leadership across data platform architecture, system design, and engineering practices, including data quality, validation, metadata, lineage, observability, testing, and operational support.
Drive execution across the team through planning, prioritization, estimation, hiring, and delivery management, while balancing long-term platform investments with near-term business needs.
Bachelor's, Master's or PhD degree in Computer Science, Engineering, Bioinformatics, or a related technical field; advanced degree is a plus.
8+ years of experience in software engineering or data engineering, including substantial experience building production-grade data platforms, pipelines, and data products, along with 4+ years of engineering leadership experience.
Strong hands-on expertise in Python, SQL, and modern data engineering practices, including pipeline development, data modeling, workflow orchestration, testing, code reviews, and agile delivery.
Deep experience designing and operating scalable, secure, and observable data platforms in cloud environments, with AWS strongly preferred.
Experience with modern data warehouse and query technologies such as Snowflake, Redshift, PostgreSQL, Athena, or similar platforms, along with strong knowledge of relational and analytical data systems.
Experience working with healthcare, clinical, genomic, or real-world data domains, including environments requiring strong governance, de-identification, and secure handling of sensitive data.
Experience building and operating data platforms with strong DevOps and operational practices, including CI/CD, observability, infrastructure automation, production support, and secure access patterns.
Proven ability to lead and develop strong teams while remaining technically credible, with strong communication, collaboration, and execution skills.
Experience partnering with research, bioinformatics, scientific, or analytical users to understand workflow needs and deliver effective data products and platform capabilities is strongly preferred.
Hands-on experience with bioinformatics pipelines, molecular and clinical data, and healthcare data models such as FHIR or OMOP is strongly preferred.
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