Remote (with periodic travel to San Carlos, CA and Austin, TX) Position Summary The Vice President ... Bioinformatics Pipelines, and Tertiary Analysis and reporting systems. Operational Excellence ...
Remote (with periodic travel to San Carlos, CA and Austin, TX) Position Summary The Vice President ... Bioinformatics Pipelines, and Tertiary Analysis and reporting systems. Operational Excellence ...
Remote Bioinformatics Analyst information
How do Remote Bioinformatics Analysts typically collaborate with research teams across different time zones?
Remote Bioinformatics Analysts often work with interdisciplinary teams, including biologists, data scientists, and clinicians located in various regions. Effective collaboration is achieved through regular virtual meetings, shared project management tools, and clear documentation of workflows and analyses. Flexibility in scheduling and proactive communication are key to ensuring that project milestones are met and that all team members are aligned on objectives and outcomes. Many organizations also encourage the use of collaborative coding platforms and cloud-based data repositories to streamline teamwork.
What is a Remote Bioinformatics Analyst?
A Remote Bioinformatics Analyst is a professional who uses computer science, statistics, and biology to analyze and interpret complex biological data, such as genetic sequences, from a remote location. They typically work with large datasets to assist in scientific research, drug development, or medical diagnostics. By working remotely, they leverage digital tools and secure data platforms to collaborate with teams and contribute to projects without being physically present in a traditional lab or office. Their work supports advancements in genomics, personalized medicine, and biotechnology.
What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Analyst, and why are they important?
To thrive as a Remote Bioinformatics Analyst, you need a solid background in biology, statistics, and computer science, typically supported by a relevant degree or advanced training in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with databases and version control systems are essential. Strong analytical thinking, self-motivation, and clear virtual communication skills help you collaborate effectively with distributed teams and interpret complex data. These skills and qualities are crucial for delivering accurate scientific insights and supporting data-driven research remotely.
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What job categories do people searching Remote Bioinformatics Analyst jobs in Oregon look for? The top searched job categories for Remote Bioinformatics Analyst jobs in Oregon are:
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Other
Posted 29 days ago
Natera rating
7.7
Based on 35 frontline employees who took The Breakroom Quiz
51st of 105 rated laboratories
Job description
VP, Product Engineering, Genetics Portfolio
Reports to: SVP, Laboratory Systems and Product Engineering
Work Model: Remote (with periodic travel to San Carlos, CA and Austin, TX)
Position SummaryThe Vice President of Product Engineering, Genetics Portfolio is a senior executive leadership role responsible for the software product strategy, roadmap, and delivery for Natera's Women's Health, Organ Health, and Emerging Business/Rare Disease Diagnostics business units. This leader acts as the primary technical liaison to the business unit General Managers and is the single person accountable for the vertical's success in these high-growth areas.
You will oversee a dedicated team of Digital Product Managers (DPMs), Product Solution Architects, and Product Integration Engineers. Your organization is responsible for defining "what" needs to be built to support a diverse portfolio, including Horizon (Carrier Screening), Empower (Hereditary Cancer Screening), Renasight (Chronic Kidney Disease), Panorama (NIPT), and specialized panels for Rare Disease diagnostics. You will partner with the VP of Software Engineering to leverage a shared pool of ~350 engineers for the technical implementation of the roadmap.
In the first 90 days, the VP will establish deep partnerships with the GMs of Women's Health, Organ Health, and Emerging Businesses to align on strategic goals. You will audit the existing Genetics and Rare Disease digital product roadmaps, identify critical gaps in the user experience, and establish a clear "service-level" relationship with the horizontal engineering teams.
Within the first year, you are expected to have successfully supported the commercialization of new products, driven measurable improvements to existing on-market products, and launched innovative software support for the Emerging Business/Rare Disease pipeline. Success will be reflected in product launch predictability, revenue enablement through new features, and a seamless digital experience that positions Natera as the market leader in reproductive, renal, and rare disease health.
Key ResponsibilitiesVertical Product Strategy & Roadmap Ownership- Define and own the multi-year software roadmap for the Genetics portfolio, including Women's Health, Organ Health, and Emerging Business / Rare Disease Diagnostics, ensuring alignment with clinical utility and revenue targets.
- Act as the Executive Sponsor for major pillar projects, ensuring they meet commercial expectations and quality standards through the entire product lifecycle.
- Lead the Digital Product Management team to translate complex clinical needs into technical requirements, prioritizing the backlog for maximum patient and business impact.
- Drive the strategy for Product Integration, ensuring a frictionless ordering and reporting experience across provider portals and EMR systems, Accessioning/LIMS, Lab Workflow Tracking, Bioinformatics Pipelines, and Tertiary Analysis and reporting systems.
- Operate as a "servant-leader" customer of the centralized Engineering organization, providing clear requirements and priorities to enable efficient technical execution.
- Partner with the centralized PMO and the Software Engineering VP to ensure project milestones are hit and risks are mitigated before they impact launch dates.
- Collaborate with R&D and Laboratory Operations to ensure new assays-including those for emerging and rare disease markets-are launched with "automation-first" software that reduces manual burden.
- Track and report on portfolio-specific KPIs, including product performance, user adoption, and delivery velocity.
- Lead and mentor a specialized team of Product Solution Architects and Integration Engineers, fostering a culture of technical rigor and business empathy.
- Bridge the gap between scientific complexity (Genetics, Bioinformatics) and digital product simplicity, ensuring tools are intuitive for clinicians and internal lab staff.
- Manage the organizational transition from technology-focused component teams to mission-oriented cross-functional pods.
- Ensure all software products meet the stringent requirements of a CLIA/CAP-certified and FDA-regulated environment.
- Partner with Quality and Regulatory teams to ensure requirements and design controls are properly documented to support successful audits and submissions.
- 15+ years of progressive experience in software product engineering or technology leadership, with a significant background in Clinical Genomics, Diagnostics, or Rare Disease.
- Demonstrated success leading complex, multi-product portfolios and managing senior leaders (Directors/Sr. Directors).
- Deep understanding of the software infrastructure (LIMS, Portals, EMR) required to support high-volume genetic testing at scale.
- Proven track record of managing high-stakes partnerships between business units and a centralized engineering execution arm.
- Experience in product life cycle management, including supporting the commercialization of new diagnostics and driving continuous improvement for on-market products.
- Background in high-throughput Next-Generation Sequencing (NGS) laboratory workflows.
- Advanced degree (Masters or Ph.D.) in Molecular Biology, Bioinformatics, or Computer Science.