About the position
The Senior Quantitative Research Software Engineer reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards. The Senior Quantitative Research Software Engineer is responsible for developing technology that is impactful and focuses on solving real-world problems that will work seamless with the end user. Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care. We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly. Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by leveraging machine learning and other advanced technologies, AI, automation and rollout of advanced cyber controls that support digital transformation strategies, implementing advanced technologies in clinical and administrative areas, and further development of the end user support model to help enhance modern infrastructure.
Responsibilities
- Develop, design, test, and architect software and data solutions in a team-based environment.
- Leverage machine learning and other advanced technologies to transform clinician and patient experiences in a fast-paced, research environment.
- Learn and incorporate the latest software and ML/AI technologies to deliver cutting-edge solutions within Northwestern Medicine.
- Work closely with the end user to support and improve workflows iteratively.
- Stay current on development tools, programming techniques and computing paradigms; participate in educational opportunities; read professional publications.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related technical field.
- 7+ years experience working directly in software development.
- Experience and proficiency with low-level language: C/C++ and/or Rust and/or Assembly.
- Multimodal data manipulation, such as 3D volumetric data, 2D raster & vector, LUT, waveforms, etc.
- Design, development and optimization of interconnected, distributed, or parallel software performance measurement of I/O and compute bottlenecks, etc.
- git/GitHub or equivalent open-source alternative.
- Advanced containerization technology such as Docker, Podman, containerd, k8s, etc.
- Testing methodologies, including experience writing unit and integration tests.
- Experience with SQL or non-relational database technology.
- Excellent written and verbal communication skills, particularly in presenting technical materials to both technical and non-technical audiences.
- Experience leading software and/or firmware development projects and teams from conception to completion.
- Experience in mentoring/coaching junior team members.
- Comfort meeting with range of technical and clinical staff.
Nice-to-haves
- Advanced degree in Computer Science, Engineering, Mathematics, Physics, or related technical field.
- 10+ years experience working directly in software development.
- Experience working in development with ML/AI healthcare organizations AI-specific workflows.
- Gradient monitoring technologies such as wandb.ai, mlflow, AIM, etc.
- Ability to robustly document solutions such as flow diagrams, GANTT charts, etc.
- Python frameworks such as: PySpark, Pandas, NumPy, TensorFlow, PyTorch.
- Healthcare Quality management software (QMS) experience.
- Health care data experience (PHI/HIPAA, HL7 FHIR).
- Familiarity with FDA regulation or international equivalent.
- Applied clinical experience.
Benefits
- Tuition reimbursement
- Loan forgiveness
- 401(k) matching
- Lifecycle benefits
