Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Join UCLA Health’s Research Informatics team and play a key role in advancing biomedical, translational, clinical, and health services research. As a Research Program Analyst, you’ll serve as a trusted resource for investigators, helping them navigate UCLA Health’s data, analytics, informatics, and technology capabilities. This is an opportunity to work at the intersection of research, data, technology, and healthcare, helping investigators navigate complex needs and gain access to the tools and expertise that can accelerate meaningful discovery.
You’ll work directly with researchers to understand their goals, translate complex needs into clear requirements, and connect them with the right platforms, experts, and institutional resources. When an existing solution isn’t the right fit, you’ll help evaluate new options and coordinate the expertise needed to move innovative research forward.
• Bachelor's degree in biomedical sciences, biomedical informatics, data science, public health, computer
science, information technology, engineering, or a related field; or an equivalent combination of education and
relevant experience. An advanced degree is preferred but not required.
• Minimum three years of customer-facing experience in a technical, biomedical research, scientific, data,
consulting, or professional services environment.
• Demonstrated ability to gather and document requirements, analyze complex needs, and translate technical or
regulatory concepts for nontechnical audiences.
• Experience coordinating multiple simultaneous projects or engagements involving diverse stakeholders and
competing priorities.
• Foundational understanding of data security, privacy, research compliance, and responsible data-use
considerations relevant to biomedical research, including regulated or sensitive research data.
• Familiarity with cloud services or secure technical environments sufficient to understand researcher needs and
engage appropriate technical teams.
• Strong communication, facilitation, problem-solving, stakeholder-management, and relationship-management
skills, including the ability to influence without direct authority.
• Ability to learn new technologies and research domains quickly and to determine when specialized expertise or
escalation is needed.