Mount Sinai Health System
Data Engineer II-MSH-Psychiatry
Mount Sinai Health System, New York, New York, us, 10261
Job Description
Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
Roles & Responsibilities:
The Data Engineer/Software Developer participates in full life cycle application development; designs and support complex scientific software development and deployment for basic and clinical research studies. This individual interacts with researchers and provides technical expertise and develops successful solutions.
This person’s primary role will be to build and to extend web-based systems for data quality and site performance monitoring, and to work with the team to allow researchers to explore and analyze data from a newly funded large-scale U01 grant funded through NIMH’s Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACTMH; https://www.nimh.nih.gov/about/director/messages/2023/making-an-impact-on-precision-medicine-in-psychiatry). https://reporter.nih.gov/search/9pb0zOfgl0WX7WJ2RDHdtA/project-details/10877461
This new initiative is focused on using behavioral measures and computational methods to define novel clinical signatures that can be used for individual-level prediction and clinical decision making in treating mental disorders. The importance of this new NIMH program was highlighted in a recent news update issued by the White House Office of Science and Technology. This study, titled, “Phenotypes REimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR)”, will use objective, scalable, and cost-effective measurements to define novel clinical signatures that can be used for individual-level prediction and clinical decision-making in treating mental health disorders.
Qualifications
Education Requirements
Bachelor’s degree in Computer Science or a related discipline; Advanced degree preferred.
Experience Requirements
3+ years relevant professional development experience
Strong knowledge of database management systems (SQL and NoSQL Databases)
Experience with Amazon Web Service deployments (e.g., RDS, docDB, ECS, EC2, VPC, S3)
Proficiency with multiple programming languages including Python software engineering skills. Must be flexible and fast to pick up new languages.
Linux system administration skills (service updates, key management, security configuration, id management), including experience with NVIDIA/TensorFlow/Keras stack.
Machine learning/data science skills
Experience with big data
Proficiency on installation and configuration of big data software and technology
Familiarity with and the ability to leverage a wide variety of open-source technologies and tools (as described above).
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Adaptability and a willingness to learn new technologies and techniques
Experience with version control (Git).
Responsibilities
Deploy and maintain software and workflows on local high performance computing platforms and cloud computing infrastructure (e.g., Amazon Web Services) to capture, manage, archive, and monitor multi-site, multi-modal study data.
Applications may include but are not limited to study monitoring systems, data management systems, workflow execution and monitoring systems, interactive viewers, and reporting tools, including, but not limited to, the following tools:
MindLAMP ( https://github.com/BIDMCDigitalPsychiatry/LAMP-server ) – using AWS
DPdash ( https://github.com/AMP-SCZ/dpdash ) – using AWS
Lochness ( https://github.com/AMP-SCZ/lochness ) on local server
Support data engineering efforts, including database and API design, data extraction/ transformation/load, and data aggregation/integration.
Maintain and enhance feature engineering pipelines. They will design new processing pipelines, with an emphasis on version tracking, data provenance, and high-performance computing.
Responsible for the integrity and security of data in all forms of storage throughout the Data Architecture.
Works with other IT professionals through Mount Sinai effectively. Comply with the Institutional Review Board and HIPAA to follow all applicable policies and procedures.
Assists in the development of standards and procedures affecting data management, design and maintenance. Documents all standards and procedures.
Provides presentations and training to other team members in the above.
As appropriate, writes and/or contributes to scientific publications and when needed, contributes to grants applications.
Possesses an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space.
Performs other duties as required.
Deploy and maintain pipelines for processing of audiovisual (AV), smartphone (via MindLAMP application), and Electronic Medical Record (EMR) data, including the following tools:
DPlocate: https://github.com/dptools/dplocate
DPinterview: https://github.com/dptools/dpinterview
DPsleep: https://github.com/dptools/dpsleep
About Us
Strength Through Diversity
The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:
Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.
At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.
Explore more about this opportunity and how you can help us write a new 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 43,000 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 approximately 7,400 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 and top 20 in Cardiology/Heart Surgery, 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. 14 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.
The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.”
EOE Minorities/Women/Disabled/Veterans
Compensation Statement
Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $90000 - $135285 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
Roles & Responsibilities:
The Data Engineer/Software Developer participates in full life cycle application development; designs and support complex scientific software development and deployment for basic and clinical research studies. This individual interacts with researchers and provides technical expertise and develops successful solutions.
This person’s primary role will be to build and to extend web-based systems for data quality and site performance monitoring, and to work with the team to allow researchers to explore and analyze data from a newly funded large-scale U01 grant funded through NIMH’s Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACTMH; https://www.nimh.nih.gov/about/director/messages/2023/making-an-impact-on-precision-medicine-in-psychiatry). https://reporter.nih.gov/search/9pb0zOfgl0WX7WJ2RDHdtA/project-details/10877461
This new initiative is focused on using behavioral measures and computational methods to define novel clinical signatures that can be used for individual-level prediction and clinical decision making in treating mental disorders. The importance of this new NIMH program was highlighted in a recent news update issued by the White House Office of Science and Technology. This study, titled, “Phenotypes REimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR)”, will use objective, scalable, and cost-effective measurements to define novel clinical signatures that can be used for individual-level prediction and clinical decision-making in treating mental health disorders.
Qualifications
Education Requirements
Bachelor’s degree in Computer Science or a related discipline; Advanced degree preferred.
Experience Requirements
3+ years relevant professional development experience
Strong knowledge of database management systems (SQL and NoSQL Databases)
Experience with Amazon Web Service deployments (e.g., RDS, docDB, ECS, EC2, VPC, S3)
Proficiency with multiple programming languages including Python software engineering skills. Must be flexible and fast to pick up new languages.
Linux system administration skills (service updates, key management, security configuration, id management), including experience with NVIDIA/TensorFlow/Keras stack.
Machine learning/data science skills
Experience with big data
Proficiency on installation and configuration of big data software and technology
Familiarity with and the ability to leverage a wide variety of open-source technologies and tools (as described above).
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Adaptability and a willingness to learn new technologies and techniques
Experience with version control (Git).
Responsibilities
Deploy and maintain software and workflows on local high performance computing platforms and cloud computing infrastructure (e.g., Amazon Web Services) to capture, manage, archive, and monitor multi-site, multi-modal study data.
Applications may include but are not limited to study monitoring systems, data management systems, workflow execution and monitoring systems, interactive viewers, and reporting tools, including, but not limited to, the following tools:
MindLAMP ( https://github.com/BIDMCDigitalPsychiatry/LAMP-server ) – using AWS
DPdash ( https://github.com/AMP-SCZ/dpdash ) – using AWS
Lochness ( https://github.com/AMP-SCZ/lochness ) on local server
Support data engineering efforts, including database and API design, data extraction/ transformation/load, and data aggregation/integration.
Maintain and enhance feature engineering pipelines. They will design new processing pipelines, with an emphasis on version tracking, data provenance, and high-performance computing.
Responsible for the integrity and security of data in all forms of storage throughout the Data Architecture.
Works with other IT professionals through Mount Sinai effectively. Comply with the Institutional Review Board and HIPAA to follow all applicable policies and procedures.
Assists in the development of standards and procedures affecting data management, design and maintenance. Documents all standards and procedures.
Provides presentations and training to other team members in the above.
As appropriate, writes and/or contributes to scientific publications and when needed, contributes to grants applications.
Possesses an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space.
Performs other duties as required.
Deploy and maintain pipelines for processing of audiovisual (AV), smartphone (via MindLAMP application), and Electronic Medical Record (EMR) data, including the following tools:
DPlocate: https://github.com/dptools/dplocate
DPinterview: https://github.com/dptools/dpinterview
DPsleep: https://github.com/dptools/dpsleep
About Us
Strength Through Diversity
The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:
Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.
At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.
Explore more about this opportunity and how you can help us write a new 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 43,000 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 approximately 7,400 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 and top 20 in Cardiology/Heart Surgery, 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. 14 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.
The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.”
EOE Minorities/Women/Disabled/Veterans
Compensation Statement
Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $90000 - $135285 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.