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Senior Quantitative Research Software Engineer - job 2 of 3

Company Description

At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?

Job Description

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
  • Leveraging AI, automation and rollout of advanced cyber controls that support digital transformation strategies
  • Implementing advanced technologies in clinical and administrative areas
  • Further development of the end user support model to help enhance modern infrastructure. Working directly with clinical and administrative end users to rapidly iterate on deployed solutions
  • Learning and incorporating the latest software and ML/AI technologies to deliver cutting-edge solutions within Northwestern Medicine

Company Description At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?

Responsibilities:

• Develop, design, test, and architect software and data solutions in a team-based environment.
• Leveraging machine learning and other advanced technologies to transform clinician and patient experiences in a fast-paced, research environment
• Learning and incorporating 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.

Qualifications

Required:

  • 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

Preferred:

  • 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

Additional Information

Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.

If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.

Average salary estimate

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$130000K

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What You Should Know About Senior Quantitative Research Software Engineer , Northwestern Memorial Healthcare

At Northwestern Medicine, we're on the lookout for a Senior Quantitative Research Software Engineer who embodies our mission to improve healthcare for everyone. Here, every interaction is a chance to make a mark, and we encourage our employees to thrive in a patient-first environment. As a Senior Quantitative Research Software Engineer, you will dive deep into developing impactful technology that solves real-world problems, all while working closely with clinical and administrative end users. Your role will involve designing, developing, and architecting innovative software and data solutions, leveraging cutting-edge machine learning and AI technologies to transform experiences for both clinicians and patients. Collaboration is key, and you'll be expected to iterate on deployed solutions based on user feedback. With a rich background of 7 or more years in software development, you'll be in a position to lead projects that shape the future of healthcare technology. We're passionate about continuous learning here at Northwestern Medicine, so you'll have opportunities to enhance your skills and stay updated with the latest advancements in technology. Competitive benefits, including tuition reimbursement and loan forgiveness, reflect our commitment to our employees' growth. If you're ready to make a meaningful difference in the healthcare landscape, join us at 245 E. Chicago Avenue and be part of a dynamic team that values innovation and excellence.

Frequently Asked Questions (FAQs) for Senior Quantitative Research Software Engineer Role at Northwestern Memorial Healthcare
What are the responsibilities of a Senior Quantitative Research Software Engineer at Northwestern Medicine?

The responsibilities of a Senior Quantitative Research Software Engineer at Northwestern Medicine center around developing, designing, and testing impactful software solutions. You'll work in a team-based environment, closely collaborating with end users to enhance workflows, utilize advanced technologies including machine learning, and stay updated on the latest programming techniques.

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What qualifications are required for the Senior Quantitative Research Software Engineer role at Northwestern Medicine?

To qualify for the Senior Quantitative Research Software Engineer position at Northwestern Medicine, candidates are expected to hold a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, along with over 7 years of software development experience. Proficiencies in programming languages such as C/C++ or Rust, experience with data manipulation, and familiarity with advanced containerization technologies are also crucial.

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How does the Senior Quantitative Research Software Engineer contribute to healthcare at Northwestern Medicine?

The Senior Quantitative Research Software Engineer at Northwestern Medicine plays a pivotal role by developing technology that enhances clinician and patient experiences. By leveraging machine learning and innovative software solutions, this position directly supports improving healthcare delivery and operational efficiency across the organization.

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What technologies will a Senior Quantitative Research Software Engineer work with at Northwestern Medicine?

In the role of Senior Quantitative Research Software Engineer, you will work with a variety of technologies including machine learning tools, advanced data manipulation techniques, containerization technologies such as Docker, and various programming languages and frameworks. Staying current with these technologies is essential for delivering cutting-edge solutions.

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What benefits does Northwestern Medicine offer to Senior Quantitative Research Software Engineers?

Northwestern Medicine offers an impressive array of benefits to Senior Quantitative Research Software Engineers, including competitive salaries, tuition reimbursement, loan forgiveness options, and a robust 401(k) matching program. These benefits are designed to support not only your professional development but also your overall well-being.

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Common Interview Questions for Senior Quantitative Research Software Engineer
Can you explain your experience with programming languages relevant to the Senior Quantitative Research Software Engineer role?

When answering this question, focus on specific projects where you used programming languages like C/C++ or Rust. Mention particular challenges you faced and how you overcame them, emphasizing your problem-solving abilities and any technologies you integrated.

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How have you implemented machine learning solutions in your previous projects?

Detail any machine learning projects you've worked on, explaining the specific algorithms and technologies used. Highlight the impact these solutions had on the project outcome and your role in achieving those results.

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What strategies do you use for effective collaboration with clinical end users?

Discuss your approach to user feedback and iterative development. Mention how you involve clinical end users throughout the project lifecycle, enhancing their workflows and ensuring the software meets their needs.

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Describe a challenge you faced in software development and how you resolved it?

Share a specific challenge you encountered, detailing your approach to problem-solving. Emphasize the methods you used, whether through collaboration, research, or innovative thinking, and the ultimate resolution.

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How do you stay current with software development trends and technologies?

Talk about resources you utilize, such as online courses, professional workshops, or publications. Discuss how you incorporate new knowledge into your work to stay innovative and efficient in your projects.

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Can you share your experience with containerization technologies?

Describe previous projects where you utilized containerization technologies like Docker or Kubernetes. Highlight the benefits these technologies brought to your processes, such as improved deployment speed or enhanced scalability.

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How do you approach testing in software development?

Discuss the importance of testing methodologies in your work, including unit and integration tests. Provide examples of how thorough testing has led to more reliable and stable software releases in your past projects.

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What role does data manipulation play in your software engineering practices?

Explain how you've leveraged data manipulation techniques in past projects, especially in terms of managing complex datasets. Mention specific tools you used and the outcomes achieved through effective data management.

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How do you handle feedback and criticism in your work?

Share your perspective on receiving feedback, emphasizing your openness to constructive criticism. Provide an example of a time you adapted your work based on feedback and the positive outcomes from that change.

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Why do you want to work for Northwestern Medicine as a Senior Quantitative Research Software Engineer?

Express your passion for the healthcare industry and how Northwestern Medicine's mission aligns with your professional goals. Highlight aspects of the company culture and values that resonate with you, reinforcing your commitment to making a difference through technology.

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Northwestern Medicine is the collaboration between Northwestern Memorial HealthCare and Northwestern University Feinberg School of Medicine. The entities involved in Northwestern Medicine remain separate organizations. Northwestern Medicine is a t...

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DATE POSTED
April 8, 2025

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