Careers

Join our team

We are looking for exceptional team members to join our revolution in digital health! HPI·MS is calling on all those with a passion for improved healthcare and translational data science to share their knowledge and expertise with an international community motivated by the same call to action.

Junior DevOps Engineer—HPI.MS Smart4Health

The DevOps Engineer will support the implementation and maintenance of on premise and cloud infrastructure to support the translation of data science research into personalized health solutions. The candidate will lead efforts from the Smart4Health (www.smart4health.eu) international collaboration. Simply, Smart4Health will develop, test and validate a platform prototype for a new citizen-centered health record with integrated abilities for aggregation of data, for sharing and for data provision/donorship to the scientific community. The Hasso Plattner Institute for Digital Health (HPIMS) at the Icahn School of Medicine at Mount Sinai role in this grant is to use our powerful data to serve as a foundation for a research platform, which hospitals from European countries will join. The candidate will have the unique opportunity to help form this foundation and perform research across millions of patients across many countries. The candidate will work with research leads across these institutions, including Data4Life (https://www.data4life.care/en/). The candidate will also be able to work on HPIMS-specific projects that utilize machine learning on patient health data for precision medicine discoveries.

Requirements Summary

Basic Qualifications: • Bachelor degree in engineering (e.g. computer science, Biomedical Informatics, Physics, Statistics) • Knowledge of configuring and managing Linux and Window Servers • Knowledge of configuring and managing database system like, PostgreSQL and MySQL. • Knowledge of Managing Cloud environment like Azure and AWS. • Detailed working knowledge of networking and control access to hosting environments • Working knowledge of Ansible and other dev-ops automation tools • Ability to use a wide variety of open source technologies.

Preferred Qualification: • Master degree is plus • Minimum 1 years real world DevOps and Programming experience building and maintaining complex systems, and automating, installing and configuration of software, e.g. Apache, Jetty, Jira, Confluence. • Knowledge of managing and creating Hadoop and Spark cluster • Knowledge of managing and creating of MongoDB cluster • Working experience on the messaging systems like Apache Kafka and Rabbit MQ

Apply Now

Please send the following:

  1. Cover Letter

  2. CV

  3. Code repo (e.g., GitHub)

to sparshdeep.kaur@mssm.edu.

• Build and manage big data infrastructure using proprietary and open-source technologies such as Apache Kafka, Apache Spark, MongoDB and Splunk. • Develop and manage continuous deployment pipeline using Docker Container, Kubernetes and Atlassian Bitbucket. • Support data science for the deployment of research projects. • Provide technical and engineering support for Linux servers administration, access controls for users, and management and administration of Microsoft Azure cloud. • Develop and implement infrastructure monitoring and de-bugging solution using Splunk, Plotly and Nagios. • As a key member of the Smart4Health team, will work closely with other European consortia members including application developers, database developers, and data scientists. • Alongside other members of the HPI.MS team, will provide input for the data pipelines supported on the HPI.MS infrastructure. • Develop prototypes and proof of concepts for the selected solutions. • Create centralized documents and diagrams of all solutions. • Designs and implements monitoring, backup, and disaster recovery of data systems. • Maintains a customer-focused approach with users to provide solutions that are science/research-driven. • Responsible for the integrity and security of data in all forms of storage throughout the data architecture. • Works with other IT professionals throughout Mount Sinai effectively. • 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. • 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. • Other duties as assigned

IT Manager

We are inviting applications for an IT Manager position to be responsible for day-to-day activities within the institute. The IT Manager will assist the Associate IT Director in implementing operational policies and procedures while ensuring operational efficiency is maintained throughout the department.

Requirements Summary

Education:  Bachelor’s or Master’s Degree in business, computer science or related field.

Years of Experience: Minimum 5 years in the information technology field or its equivalent. Ideal candidate will have experience in academic healthcare IT administration. 

Apply Now

To apply, please email your CV or resume to manbir.singh@mssm.edu.

Responsibilities: • Act as the initial point of contact for all computer related concerns • Install and configure computer systems and applications within the department • Provide technical support and consultation on the installation, configuration, upgrading, troubleshooting and repairing applicable software, hardware and peripherals devices • Complete detailed reports listing requests to technical assistance, steps taken to resolve them, and the specific dates/individuals involved in internal ticketing system • Evaluate and prioritize customer support cases • Provide Level 1, 2 & Level 3 operational and technical support to users via telephone, remote desktop tools, and in-person. • Responsible for placing and tracking departmental IT orders • Receive, setup and deliver computers to end users • Work closely with various Sinai IT departments to collaborate on various projects • Assist Associate IT Director in managing cloud resources and internal servers • Assist Associate IT Director in creating a quarterly total IT expenditure report and forecasted budget • Assist Associate IT Director with the development of long- and short-term goals for the department, which align with organizational goals • Performs other related duties.

Program Manager III

The Program Manager III supports the Dean of AI & Human Health and manages the activities and functions of complex institution programs to ensure that goals and objectives specified for the program are accomplished in accordance with established priorities, time limitations, funding limitations or other specifications. The Program Manager supports the day to day administration of the Dean’s projects and assists in implementing institution-wide policies and procedures that support the growth of AI and computational initiatives.

Requirements Summary

Education: Minimum Bachelor’s Degree

Years of Experience: Min 2-3 years in administrative management, operations, or related field. Ideal candidate will have experience in academic administration, clinical trials, or project management.

Apply Now

To apply, please email resume or CV to sparshdeep.kaur@mssm.edu.

• Under the direction of the Dean, develops and independently implements new or revised administration, operations, and program strategies and objectives to sustain and grow programs and services. • Performs needs assessments, analyzes, and reports to Dean on community need for targeted program development. • Schedules a program work plan in accordance with specifications, objectives and funding limitations; oversees daily administration and coordinates program activities through multiple levels of leadership and departments across the institution. • Prepares administrative reports, analyzes and interprets statistics, financial data, and management planning data for predicting resource needs and developing long term plans. • Prepares proposals for corporate and foundation funding and/or funding continuation from outside sponsors/donors. • Prepares periodic reports, financial statements and records on program activities, progress, status or other special reports for leadership or outside agencies/funders. • Evaluates program effectiveness to develop and implement improved methods; devises evaluation methodology and implements; analyzes results and takes proper action based on outcome. • Develops and writes communications and promotional literature for distribution in newsletters, brochures or flyers, websites, and social media. • Schedules and facilitates workshops, meetings or conferences; coordinates logistics, project management, scheduling and participant communications. • Interacts and maintains liaison with students, faculty, staff and outside/community agencies or committees in facilitating program objectives. • Directly supports administrative needs of the Dean of AI. • Performs other related duties.

Postdoctoral Fellow - Biostatistics

We are inviting applications for a Post-doctoral Research Fellowship position in data science, biostatistics, and epidemiology with a specific interest in applications to electronic health records (EHR). This work will have a particular focus on COVID-19 related research. This post-doc will have the opportunity to work not only within our hospital network but with several large consortium.

Requirements Summary

  1. PhD, MD, or MD/PhD in quantitative sciences

  2. Programming expertise

  3. Informatics experience

  4. Strong publication record

Apply Now

Please send the following:

  1. Cover Letter

  2. CV

  3. Code repo (e.g., GitHub)

to benjamin.glicksberg@mssm.edu

Details

The main focus of this work will be to design and perform robust, large-scale retrospective analysis of EHR data, as well as claims databases, for high-impact clinical questions. The overarching theme of this work will involve transforming real world data into evidence, which may include supportive data for regulatory decisions. Some key questions include relating surgical procedures or medication prescriptions with outcomes; disentangling phenotype risk factors by modality (i.e., contribution of environment) and background (i.e., race/ethnicity); comparative effectiveness; cost-benefit analysis; and quantifying disease risk based on interventions. These questions span many clinical domains, including cardiology, psychiatry, and neurodegenerative diseases.

The candidates will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations. The postdoctoral fellow will join a dynamic team of data scientists, computer scientists, geneticists, and clinicians and participate in unique opportunities perform large-scale epidemiological surveys using unique data resources with the goal to directly impact patients’ lives.

Resources

The candidate will have the opportunity to work with unparalleled data and computational resources.

  • Access to >8 million patient EHR in the Mount Sinai Data Warehouse

  • The BioMe Biobank Program with >30,000 patients with whole exome sequencing data linked to longitudinal clinical data

  • High-performance computing cluster as well as internal servers

  • Various types of imaging data (e.g., MRI, x-ray).

Requirements:

The ideal candidates will have the following background:

  1. PhD, MD, or MD/PhD in a quantitative science-related field (e.g., biostatistics, epidemiology, biomedical informatics, clinical informatics, etc.).

  2. Formal statistics or epidemiological training particularly within the clinical realm. Should have familiarity with common biostatistical frameworks such as predictive modeling, survival analyses, etc.

  3. Prior research using electronic health records or claims data sources preferred. Should have familiarity with limitations and biases of such data (i.e., non-random missingness) as well as techniques on how to address them. Prior experience with common data models (FHIR/OMOP) a plus.

  4. Expertise with programming and statistical software experience in R and/or Python.

  5. Excellent publication track record.

  6. Strong communication and presentation skills with fluency in spoken and written English.

Compensation:

We offer competitive compensation, a vibrant/supportive work environment, and a series of perks as outlined below.

Information on the Post-doctoral Training Program

  • Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and a range of amenities

  • Visa sponsorship on a case-by-case basis.

Postdoctoral Fellow - Machine Learning

We are inviting applications for a Postdoctoral Research Fellowship position in data science and machine learning with a specific interest in applications to electronic health records (EHR) and multi-omic health data. This work can have a focus on COVID-19 related research. This post-doc will have the opportunity to work not only within our hospital network but with several large consortium.

Requirements Summary

  1. PhD, MD, or MD/PhD in quantitative sciences

  2. Programming expertise

  3. Informatics experience

  4. Strong publication record

Apply Now

Please send the following:

  1. Cover Letter

  2. CV

  3. Code repo (e.g., GitHub)

to benjamin.glicksberg@mssm.edu

Details

The main focus of this work will be to design and perform robust, large-scale retrospective analysis of multi-modal health data, as well as claims databases, for high-impact clinical questions. Key areas of interest are: predictive modeling for disease outcomes and personalized therapeutic recommendations, working with common data model EHR standards (e.g., OMOP), multi-modal (e.g., genomics, imaging, and clinical data) deep learning for clinical decision support, unsupervised learning to discover biologically-relevant disease subtypes, transforming real-world data to real-world evidence for supporting regulatory decisions, cost and comparative effectiveness for medicine in practice, and methods development to facilitate a learning health system, among others. We have an interest in many disease domains including nephrology, cardiology, radiology, psychiatry, and others.

The candidates will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations. The postdoctoral fellow will join a dynamic team of data scientists, computer scientists, geneticists, and clinicians and participate in unique opportunities perform large-scale epidemiological surveys using unique data resources with the goal to directly impact patients’ lives.

Resources

The candidate will have the opportunity to work with unparalleled data and computational resources.

  • Access to >8 million patient EHR in the  Mount Sinai Data Warehouse

  • The BioMe Biobank Program with >30,000 patients with whole exome sequencing data linked to longitudinal clinical data

  • High-performance computing cluster as well as internal servers

  • Various types of imaging data (e.g., MRI, x-ray).

Requirements:

The ideal candidates will have the following background:

  1. PhD, MD, or MD/PhD in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc.)

  2. Significant experience in machine learning techniques, ideally with published work and/or code available. Expertise with deep learning frameworks is preferred (e.g., Tensorflow, PyTorch, Keras).

  3. Prior research using electronic health records or claims data sources preferred.

  4. Expertise with programming and statistical software experience in R and/or Python.

  5. Excellent publication track record.

  6. Strong communication and presentation skills with fluency in spoken and written English.

Compensation:

We offer competitive compensation, a vibrant/supportive work environment, and a series of perks as outlined below.

Information on the Post-doctoral Training Program

  • Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and a range of amenities

  • Visa sponsorship on a case-by-case basis.