Technical Consultant, Healthcare Systems
Philips
Advise healthcare clients and deliver technical solutions for RIS, PACS, HL7, and DICOM environments. The role is based onsite in India and focuses on end-to-end implementations and integrations.
Open
Iambic Therapeutics is a biotechnology company developing AI-powered approaches to drug discovery. Its platform combines advanced algorithms with high-throughput experimentation to explore chemical spaces, optimize molecules for therapeutic targets, identify novel mechanisms, and generate promising drug leads more efficiently than conventional discovery methods.
Software Engineer I or II, Scientific Computing (Hybrid)
Build Python software and AWS workflows for Iambic Therapeutics’ AI-powered drug discovery platform. Support computational chemists and machine learning researchers with reliable scientific computing tools.
United States$129,000 – $190,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredFull-stack EngineerSoftware EngineerDescription
- Collaborate with computational chemists and machine learning researchers to translate research needs into practical software.
- Develop and maintain Python applications, libraries, APIs, and command-line tools.
- Create dependable workflows for drug discovery workloads.
- Enhance orchestration, monitoring, and recovery for workloads running on AWS and neo-cloud platforms such as Modal and Lambda.
- Connect scientific applications with shared data, computing, and model services.
- Investigate technical issues and maintain clear tool documentation.
- Help scientists adopt and use software effectively.
- Participate in software design, testing, code review, deployment, and production support.
Requirements
- Bachelor’s degree in a relevant technical discipline plus at least five years of software development experience, or equivalent practical experience.
- Advanced Python programming ability.
- Track record of producing clear, tested, maintainable production code.
- Experience operating scientific or batch workloads on AWS.
- Experience with Prefect or a comparable workflow orchestration platform.
- Familiarity with computational chemistry workloads, including molecular dynamics or docking.
- Familiarity with the machine learning model lifecycle.
- Strong service orientation and clear communication skills.
- Genuine interest in helping scientists work effectively.
- Current authorization to work in the United States and ability to address application questions about research codebase or ML workflow maintainability and data pipeline or platform decisions.
- Must be currently authorized to work in the United States
Benefits
- Healthcare coverage paid by the company.
- Flexible spending accounts.
- Voluntary life insurance.
- 401(k) matching.
- Uncapped vacation.
- Onsite gym.
- Dining available at the facility.
- Flexible remote work options elsewhere in the United States.
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