Phenome Health is a 501(c)(3) non-profit research organization established in 2021 to contribute solutions to major challenges causing a health crisis. Our team, led by internationally recognized visionary scientist Lee Hood, is promoting a radical paradigm change—namely shifting from a reactive system that focuses on treating disease to a proactive system focused on optimizing health. Phenome Health is partnering with research participants to build a disease-agnostic discovery framework. We are leveraging advancements in biotechnologies, digital health, and AI to execute projects that will drive personalized and equitable medicine of the future.
Our headquarters are based in Seattle, Washington with team members distributed across the United States.
About the Role
Recent advancements in phenomics—technologies that enable the broad profiling of the dynamic aspects of biology—are paving the way for deep understanding of human health and disease, driven by data. Phenome Health’s research platform integrates new and existing data with a variety of analytical techniques, from knowledge graphs to AI and large language models.
We are seeking a highly skilled Systems Engineer to join the Phenome Health team. The ideal candidate will possess a strong foundation in dynamical systems analysis and a passion for applying engineering principles to complex biological problems. This role requires a blend of theoretical knowledge and practical application, with a focus on developing innovative solutions to challenging problems. As a Systems Engineer, you will be instrumental in the design and analysis of data from real-world human studies that seek to understand the temporal dynamics of the human phenome. You will play a key role in the development of software tools and pipelines, with the opportunity to contribute to the publication of scientific articles.
If you are a highly motivated individual with a passion for scientific discovery and a desire to make a significant impact, we encourage you to apply.
What You Will Do
- Develop and implement advanced computational models to analyze complex biological systems.
- Apply dynamical systems theory to understand system behavior, predict outcomes, and identify critical control parameters.
- Collaborate with biologists and other domain experts to translate biological questions into quantitative, mathematical models.
- Design, develop, and test software applications using object-oriented programming languages and software engineering best practices.
- Leverage machine learning and AI techniques to extract insights from large biological datasets.
- Contribute to the development of novel algorithms and computational tools for data analysis and modeling.
- Stay up-to-date with the latest advancements in systems biology, computational modeling, and machine learning.
Qualifications
- PhD in Bioengineering, Electrical Engineering, or a related field.
- Strong foundation in dynamical systems theory and analysis.
- Experience in object-oriented programming and software engineering.
- Proficiency in machine learning and AI techniques.
- Familiarity with biological data and systems.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication, writing, and interpersonal skills.
- Ability to work independently and as part of a team.
Compensation and Benefits
- $110,000 to $125,000 depending on skills and experience.
- Competitive Medical, Vision and Dental Insurance plans for employee and dependents.
- Basic Life insurance.
- Health FSA.
- 401K retirement savings plan with employer match.
- Orca Pass (public transportation) for employees in the Seattle, WA area.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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