Job Description

Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of DanaFarber Cancer Institute.

This role provides support in machine learning, NLP, and computer vision to build reusable and scalable AI/ML tools and pipelines to support DanaFarber operations, research, and clinical practice.

The role operates in a matrixed team environment, collaborating with clientfacing leads, software engineers, product managers, project managers, project sponsors, and clients.

The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institutes research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling.

Located in Boston and the surrounding communities, DanaFarber Cancer Institute is a leader in lifechanging breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among highrisk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrows physicians/researchers, and we work with amazing partners, including other Harvard Medical Schoolaffiliated hospitals.

Responsibilities

• Contribute to the development, deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and crossplatform efficiency.
• Assist in implementing and maintaining data and machinelearning solutions, helping to manage models throughout their lifecycle to ensure they are wellorganized, auditable, and maintain high accuracy.
• Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference.
• Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, endtoend testing, prototypes, GUI designs, and use cases.
• Provide updates on assigned tasks and project progress to multiple groups including the AIOS team, clientfacing leads, project sponsors, business owners, and internal stakeholders.
• Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives.

Qualifications

• Bachelors degree in a related field (Computer Science, Data Science, Engineering) required.
• Masters degree preferred.
• 1 year of work experience in machine learning and AI required.
• Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience.
• Experience within a clinical or research environment preferred.

Knowledge, Skills, And Abilities Required

• Excellent communication and effective problemsolving skills.
• Track record in serving a variety of diverse customers and projects.
• Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute.
• Familiarity with Python.
• R, Databricks, and/or Snowflake experience preferred.
• Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidates relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA): $90,400 $106,400.

At DanaFarber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

DanaFarber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEOC Poster

Seniority Level

• Entry level

Employment Type

• Fulltime

Job Function

• Engineering and Information Technology

Industries

• Hospitals and Health Care

Location: Foxborough (Foxboro), MA

Salary: $103,500 $119,000 (21 hours ago)

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