Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/[...]

Mount Sinai Health System; New York (NY); Hybrid; USD 109,000 - 164,000; Full time

Job summary

A leading healthcare organization is on the lookout for a Machine Learning Engineer I to join their Clinical Data Science team. In this hybrid/onsite role, you will develop and enhance machine learning applications while collaborating with engineers and data scientists. The ideal candidate will have a strong background in machine learning and software development, propelling innovation in healthcare technologies. You will mentor junior staff, lead research initiatives, and actively contribute to systems integration to enhance patient care and operational efficiency.

Qualifications

• Strongly preferred: 4+ years of relevant experience.
• Proficiency in machine learning frameworks and programming languages.
• Develop and deploy efficient and reliable machine learning systems.

Responsibilities

• Contribute to the development of machine learning applications and systems.
• Monitor deployed models and coordinate updates for performance.
• Provide technical leadership and mentorship to junior engineers.

Skills

Machine Learning

Back-end Software Development

Programming Languages

Data Engineering

Statistical Analysis

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Tools

Python

Java

Scala

SQL

Apache Spark

AWS

Azure

Google Cloud

Job description

Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite

Join to apply for the Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite role at Mount Sinai Health System

Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite

Join to apply for the Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite role at Mount Sinai Health System

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Description

Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite, Req#3025164

This is hybrid/onsite position, at corporate location is 150 E 42nd Street

Machine Learning Engineer I will be primarily responsible for contributing to the development and enhancement of machine learning applications and systems. They will work closely with other engineers and data scientists to design and implement scalable and efficient machine learning systems.

Description

Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite, Req#3025164

This is hybrid/onsite position, at corporate location is 150 E 42nd Street

Machine Learning Engineer I will be primarily responsible for contributing to the development and enhancement of machine learning applications and systems. They will work closely with other engineers and data scientists to design and implement scalable and efficient machine learning systems.

Responsibilities

Essential Duties and Responsibilities

• Primary Developer Responsibility:
• Play a central role in the machine learning system development while coordinating with a Senior or Lead engineer for overarching project management.
• Contribute significantly to the integration of machine learning systems into broader organizational processes and workflows, ensuring alignment with overall project objectives overseen by higher-level engineers.
• Work in collaboration with cross-functional teams, including data scientists and product managers, assisting in the successful deployment and maintenance of machine learning models.
• Actively monitor deployed models and coordinate with the Senior Machine Learning Engineer to make necessary updates, ensuring the models’ continued performance and reliability.
• Technical Leadership:
• Provide technical leadership and mentorship to junior engineers and other team members.
• Facilitate knowledge sharing and professional development within the team.
• Act as a point of contact for technical queries related to machine learning system within the team.
• Research and Development:
• Stay abreast of the latest advancements and trends in the field of software engineering and machine learning.
• Conduct research to identify new methods and techniques that can be applied to future projects.
• Lead initiatives to test and implement new technologies and frameworks.
• Additional Responsibilities:
• Effectively communicates statistical and technical ideas and results to non-technical stakeholders in written and verbal form to ensure decision points and their impact are clearly understood by all audiences
• Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion.
• Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.
• Mentor other analysts on how to a) determine appropriate statistical analysis methods, b) leverage appropriate programing languages and tools, and c) generate and interpret statistical analysis outputs.
• Share development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.
• Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
• Works closely with IT on the ongoing improvement of Mount Sinai’s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.
• Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.
• Other duties as assigned.
  

Qualifications

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Strongly Preferred: 4+ years of relevant experience in machine learning, back-end software development, or a related field.
• Proficiency in machine learning frameworks, programming languages, and tools.
• Proficient in programming languages such as Python, Java, and Scala
• Strong experience with SQL.
• Strong experience with Big Data technologies like Apache Spark.
• Knowledge and experience with at least one cloud system among AWS, Azure, or Google Cloud.
• A proven track record in developing and deploying efficient and reliable machine learning systems.
• Strong leadership and communication skills.
  
  

, 271 - DTP Clinical Data Science - MSH, Mount Sinai Hospital

Employer Description

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About The Mount Sinai Health System

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $109000 - $163695 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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