$126K - $166K/yr
The Clinical Genomics Engineering organization builds software that supports complex, regulated workflows spanning tertiary analysis workflows including variant interpretation, clinical review, and ...
Postdoctoral Scholar
Portland, OR · On-site
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
Postdoctoral Scholar
Portland, OR · On-site
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
Postdoctoral Scholar
Portland, OR · On-site
$66K - $81K/yr
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
Postdoctoral Scholar
Portland, OR · On-site
$66K - $81K/yr
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
The focus of the position is on applying developmental neuroscience, genomic, and/or physiological ... Analyses will take place at multiple biologic levels including, molecular, cellular, synaptic ...
Genomic Variant Analyst information
What does a Genomic Variant Analyst do?
A Genomic Variant Analyst is a specialist who examines genetic data to identify and interpret variations within genomes, such as mutations or structural changes in DNA. Their work is crucial for understanding genetic contributions to diseases, guiding clinical decision-making, and advancing personalized medicine. They use bioinformatics tools and databases to analyze sequencing data, annotate variants, and assess their significance. Genomic Variant Analysts often collaborate with clinicians, researchers, and laboratory staff to ensure accurate and meaningful interpretation of genomic information.
What are the key skills and qualifications needed to thrive as a Genomic Variant Analyst, and why are they important?
To thrive as a Genomic Variant Analyst, you need a strong background in genetics, molecular biology, and bioinformatics, typically supported by a relevant degree such as in genomics or computational biology. Experience with genomic data analysis tools (like GATK, VEP, or IGV), next-generation sequencing (NGS) platforms, and familiarity with databases such as ClinVar are essential. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities ensure accurate variant identification, meaningful clinical interpretations, and successful integration of genomic data into research or healthcare.
What are some common challenges faced by Genomic Variant Analysts when interpreting complex genetic data, and how are they addressed?
Genomic Variant Analysts often encounter challenges such as distinguishing between benign and pathogenic variants, managing large volumes of sequencing data, and staying updated with rapidly evolving databases and guidelines. To address these, analysts rely on established variant classification frameworks, utilize collaborative review with clinical teams, and leverage specialized bioinformatics tools. Continuous professional development and participation in case discussions help ensure accurate interpretations and effective collaboration with genetic counselors and physicians.
How to become a genome analyst?
To become a genomic variant analyst, typically a bachelor's degree in genetics, biology, bioinformatics, or a related field is required, often followed by specialized training or a master's degree. Skills in data analysis, programming languages like Python or R, and experience with genomic databases and tools are essential. Certifications in bioinformatics or genomics can enhance job prospects, and familiarity with laboratory techniques and sequencing technologies is beneficial.
What is the highest paying job in genetics?
In genetics, roles such as genetic counselors, clinical geneticists, and research directors tend to have the highest salaries, often exceeding $150,000 annually. Senior positions requiring advanced degrees, certifications, and extensive experience typically command the highest compensation in the field.
What does a variant analyst do?
A genomic variant analyst examines genetic data to identify and interpret variations in DNA sequences that may be linked to diseases or traits. They use bioinformatics tools, databases, and statistical methods to analyze sequencing data, often working with next-generation sequencing technologies and requiring attention to detail and knowledge of genetics. Their work supports research, diagnostics, and personalized medicine efforts.
What does a genomic analyst do?
A genomic analyst studies genetic data to identify variations and mutations that may impact health or disease. They analyze DNA sequences using bioinformatics tools, interpret results, and often work in research or clinical laboratories, requiring knowledge of genetics, programming, and data analysis. Their work supports diagnostics, personalized medicine, and genetic research.
What is the difference between Genomic Variant Analyst vs Bioinformatics Technician?
| Aspect | Genomic Variant Analyst | Bioinformatics Technician |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Genetics, Bioinformatics, or related field; experience with genomic data analysis | Associate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic scripting skills |
| Work Environment | Laboratories, research institutions, biotech companies | Research labs, hospitals, biotech firms, computational environments |
| Employer & Industry Usage | Genomics research, clinical labs, pharmaceutical companies | Data processing, supporting genomic research, data management |
The Genomic Variant Analyst focuses on interpreting genetic variations and analyzing sequencing data, often requiring advanced bioinformatics skills. In contrast, the Bioinformatics Technician typically handles data management, basic analysis, and supporting research activities. While both roles work within genomics and bioinformatics, the analyst role involves more complex data interpretation and analysis, whereas the technician provides essential support functions.
What are popular job titles related to Genomic Variant Analyst jobs in Oregon? For Genomic Variant Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Genomic Variant Analyst jobs in Oregon look for? The top searched job categories for Genomic Variant Analyst jobs in Oregon are:
What cities in Oregon are hiring for Genomic Variant Analyst jobs? Cities in Oregon with the most Genomic Variant Analyst job openings:
Natera rating
7.6
Based on 37 frontline employees who took The Breakroom Quiz
60th of 120 rated laboratories
Job description
Senior Product Manager, Clinical Genomics Engineering
Natera offers genetic risk assessment and diagnostic tests to patients through medical providers. The Clinical Genomics Engineering organization builds software that supports complex, regulated workflows spanning tertiary analysis workflows including variant interpretation, clinical review, and reporting. As Natera scales across Women's Health, Oncology, and Organ Health, delivering cohesive, reliable, and compliant software experiences is foundational to clinical quality and commercial success.
Natera is seeking a Senior Product Manager to define and drive strategy for core components of the Results, Interpretation, and Reporting (RIR) platform. This role is responsible for shaping scalable, compliant, and cohesive clinical software systems that support complex genomics workflows across multiple business units. The Lead PM will operate as a platform-level owner, ensuring long-term architectural soundness, regulatory robustness, and measurable clinical and operational outcomes.
Initial Focus and Scope EvolutionThe Senior Product Manager will lead cross-functional alignment across engineering, clinical, quality, and downstream systems to ensure RIR components operate as a cohesive, scalable platform. This role will identify systemic gaps, resolve cross-team tradeoffs, and drive architectural and workflow decisions that support long-term growth and regulatory compliance.
This role will initially own one or more RIR software components or initiatives, with responsibility for defining long-term strategy, aligning cross-component workflows, and ensuring scalable architecture across user-facing applications, data contracts, and backend services. The Lead PM will drive strategic investment decisions, establish standards for usability and reliability, and ensure systems meet evolving clinical, operational, and regulatory requirements.
As business needs evolve, this role will expand to influence and coordinate across multiple RIR components, driving cohesive workflow design, shared data standards, and platform-level scalability across Women's Health, Oncology, and Organ Health.
Primary ResponsibilitiesDefine and drive multi-year product strategy and roadmap across one or more RIR components, ensuring alignment to clinical quality, regulatory requirements, and commercial scale objectives
Influence platform-level technical direction in partnership with engineering leadership
Partner closely with software engineering, bioinformatics, clinical domain experts, quality, regulatory, and other product teams
Translate business, clinical, and operational needs into clear, actionable product requirements
Define and evolve end-to-end user workflows, including UI/UX requirements and supporting backend functionality
Drive cross-team alignment on shared data contracts and workflow standards
Mentor and raise the bar for product management within the RIR organization
Own measurable improvements in clinical workflow efficiency, reliability, and operational scalability
Establish prioritization frameworks that balance regulatory risk, clinical impact, technical scalability, and business outcomes across RIR investments.
Develop and track quantitative metrics related to usability, performance, reliability, and adoption
Lead delivery teams with clear strategic direction, ensuring requirements reflect long-term platform goals, validation readiness, and system interoperability.
Proactively identify systemic risks, architectural constraints, and workflow inefficiencies that may limit scale or regulatory robustness, and lead cross-functional initiatives to resolve them
Partner with Quality and Regulatory leadership to shape validation strategy, risk classification, traceability, and audit readiness for RIR software systems.
Create clear, data-driven written proposals and presentations to support stakeholder alignment and decision-making
Act as a subject matter expert for owned components, supporting design, testing, validation, rollout, and ongoing use
Bachelor's degree in life sciences, engineering, computer science, statistics, or equivalent experience
5+ years of experience in software product management, including ownership of complex, multi-team or platform-level initiatives
5+ years experience working on production software in healthcare, clinical genomics, or other regulated lifesciences domains, with demonstrated impact on validation, compliance, and system scalability
Demonstrated experience influencing engineering architecture and long-term technical investment decisions
Proven ability to drive alignment across highly matrixed organizations without direct authority
Track record of independently operating in ambiguous environments and establishing product direction
Experience with clinical genomics and variant processing and interpretation workflows
Experience owning user-facing applications, tools, or operational software
Familiarity working with backend services, APIs, or data-driven systems
Ability to operate effectively at both tactical and strategic levels, connecting detailed execution to broader platform vision.
Strong analytical skills with attention to quality, reliability, and user outcomes
Leads technical design discussions and critically evaluates architectural tradeoffs to ensure scalability, reliability, and regulatory integrity
Proven ability to influence without authority and drive alignment across teams
Clear, concise written and verbal communication skills across technical and non-technical audiences
Ability to manage multiple initiatives in a fast-paced, regulated environment
Familiarity with Next Generation Sequencing concepts is beneficial