Careers

Our faculty and staff at the Icahn Institute and Department of Genetics and Genomic Sciences are leading the way in biomedical science and personalized medicine. In addition to the  academic and clinical support our faculty and staff receives, you’ll also receive a wide range of personal and professional benefits.

Available Positions

Data Scientist 

Job Description

The Icahn Institute for Genomics & Multiscale Biology is looking for talented data scientists with the responsibilities and qualifications listed below. At the Icahn Institute, our vision is to transform biomedical research and healthcare delivery into a data-driven, evidence-based, patient-tailored discipline. The Icahn Institute was founded in 2011 to help advance precision medicine with cutting-edge technologies, novel partnerships between the public and private sectors, and world class computational and analytical resources. By maximally leveraging information from patients around the world, we deliver premier precision care optimized for each patient, while discovering breakthrough, next-generation treatments through insights derived from cutting-edge analytics applied to unprecedented amounts of patient-derived data. We promote a core set of values – designed to promote our future vision of team-oriented, data driven global biomedical research: 1) Do good for the patient, 2) Simplify, 3) Share openly, 4) Focus, 5) Synergize, 6) Contributions, not politics, and 7) Deliver.   

What You’ll Do:

Data Scientists at Mount Sinai work with clinicians, researchers, and engineers to extract value from data. Effective data science is critical to the success of our research efforts and clinical translation, ensuring we make correct inferences from the vast wealth of biomedical data generated at Mount Sinai and across the world.

Data Scientists may work on many of the cutting-edge research areas at Mount Sinai, including:

  • Analysis of high throughput genomic, transcriptomic, epigenetic, proteomic, and other "-omic" data.
  • Scalable machine learning approaches to network and predictive models of biological processes
  • Medical record mining
  • Causal inference

The ideal candidate will have strong analytical and programming proficiencies and proven expertise in high-dimensional data analysis.

Duties and Responsibilities:

  • Apply computational techniques to analyze large-scale biomedical datasets.
  • Create data-driven models and data visualizations for clinical and research work
  • Perform rigorous and reproducible data analyses
  • Develop projects and work independently on a variety of data analysis projects
  • Learn and use bioinformatics tools for processing and analysis of large datasets
  • Identify and resolve technical issues and propose upgrades to current software
  • Participate in the preparation of manuscripts, grants, and presentations
  • Other technical and leadership duties as assigned and commensurate with experience and skills

What You’ll Bring:

  • Bachelors, Masters, or Ph.D. in Computer Science, Bioinformatics, Statistics, Biological Sciences, or other relevant quantitative discipline.
  • Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required
  • Experience in data science, machine learning, statistical modeling, genomic analysis, or other relevant analytical field
  • Experience in programming environments such as R, Matlab, SAS, Stata, Python/Jupyter
  • Working experience with genetics or statistics analysis software and online resources or other biomedical data analysis is a plus
  • Knowledge and experience with software engineering best practices such as: version control, code review, unit/regression testing, continuous development/continuous integration. 

Apply

To apply, send your research interests and resume to data@mssm.edu or go to: https://careers.mountsinai.org/jobs/2350866?lang=en-us

Data Engineer 

Job Description

The Icahn Institute for Genomics & Multiscale Biology is looking for talented data engineers with the responsibilities and qualifications listed below. At the Icahn Institute, our vision is to transform biomedical research and healthcare delivery into a data-driven, evidence-based, patient-tailored discipline. The Icahn Institute was founded in 2011 to help advance precision medicine with cutting-edge technologies, novel partnerships between the public and private sectors, and world class computational and analytical resources. By maximally leveraging information from patients around the world, we deliver premier precision care optimized for each patient, while discovering breakthrough, next-generation treatments through insights derived from cutting-edge analytics applied to unprecedented amounts of patient-derived data. We promote a core set of values – designed to promote our future vision of team-oriented, data driven global biomedical research: 1) Do good for the patient, 2) Simplify, 3) Share openly, 4) Focus, 5) Synergize, 6) Contributions, not politics, and 7) Deliver.

What You’ll Do:

Some of the major responsibilities of Data Engineers are to collect, clean, transform, and structure messy data, and create robust, reproducible models that produce potentially valid scientific inferences. Depending on expertise and interests, our data engineers spend their time either developing pipelines or wrangling datasets.

Pipeline development includes the creation and deployment of computational pipelines. Examples of currently used computational pipelines at the Institute are designed for:

  • processing terabytes of sequence data (e.g. DNA FASTQ read files to DNA
  • variant calls, RNA FASTQ read files to transcript counts).
  • converting free text in electronic medical records (EMRs) to feature vectors using open-source natural language processing packages.
  • converting ICD-9 codes to ICD-10 ones for millions of electronic medical records.
  • transforming and loading MIMIC-III data into a PostgreSQL OHDSI Common Data Model instance.

Dataset wrangling includes collecting, indexing, and cleaning in-house and publicly-available datasets. Examples of current datasets in need of an expert data engineer include:

  • Mount Sinai electronic medical records (EMRs).
  • Publicly available genome-phenome data: UK Biobank, Simons Genome Diversity Panel, gnomAD, and dbGAP.
  • Publicly available cancer genomics data: TCGA and CCLE.
  • Publicly available data from public cohorts/studies: ClinicalTrials.gov, NHLBI’s BioLINCC, NIDDK Central Repository, and ImmPort.
  • Publicly available population health data: NHANES and CMS provider-level Part B and Part D.

Data Engineers at Mount Sinai are critical to the successful development and maintenance of systems that 1000’s of patients daily, as well as myriad cutting-edge research projects, depend on.

Duties and Responsibilities:

The ideal candidate will have strong software development and deployment proficiencies and be passionate about working at the intersection of biomedical research and healthcare provision. Specific duties and responsibilities include:

  • Collect, clean, transform, and structure disorganized data into analysis-ready datasets.
  • Help design, build, run, monitor, and maintain informatics pipelines.
  • Work concurrently on a variety of data engineering projects.
  • Integrate with services across computational platforms and programming languages.
  • Architect and maintain databases, filesystems (local, remote, and distributed), and custom file-formats for storing/serializing clean, transformed data.
  • Participate in the preparation of manuscripts, grants, and presentations.
  • Foster a data-centric culture through the use of best practices for data provenance, structuring, and access.
  • Bachelor’s, Master’s, or PhD in Bioinformatics, Computer Science, Statistics, or a related quantitative discipline.
  • Good organization and communication skills, with a demonstrated ability to work productively as a member of a team.
  • Strong verbal and written communication skills in English.
  • 3+ years of experience in data engineering and/or software development.
  • Proficiency with UNIX systems and several programming languages.
  • Knowledge and experience with software engineering best practices, such as version control, code review, unit/regression testing, and continuous development/continuous integration.

What You’ll Bring:

  • Bachelor’s, Master’s, or PhD in Bioinformatics, Computer Science, Statistics, or a related quantitative discipline.
  • Good organization and communication skills, with a demonstrated ability to work productively as a member of a team.
  • Strong verbal and written communication skills in English.
  • 3+ years of experience in data engineering and/or software development.
  • Proficiency with UNIX systems and several programming languages.
  • Knowledge and experience with software engineering best practices, such as version control, code review, unit/regression testing, and continuous development/continuous integration.

Apply

To apply, send your research interests and resume to data@mssm.edu or go to: https://careers.mountsinai.org/jobs/2311556?lang=en-us

Postdoc Fellow – ICAHN INSTITUTE FOR GENOMICS & MULTISCALE BIOLOGY - GENETIC & GENOMIC SCIENCES

Locations: New York, New York

Categories: Research

Job Description

The Icahn Institute for Genomics & Multiscale Biology is looking for talented postdoc fellows with the responsibilities and qualifications listed below.

About Icahn Institute:

At the Icahn Institute, our vision is to transform biomedical research and healthcare delivery into a data-driven, evidence-based, patient-tailored discipline. The Icahn Institute was founded in 2011 to help advance precision medicine with cutting-edge technologies, novel partnerships between the public and private sectors, and world class computational and analytical resources. By maximally leveraging information from patients around the world, we deliver premier precision care optimized for each patient, while discovering breakthrough, next-generation treatments through insights derived from cutting-edge analytics applied to unprecedented amounts of patient-derived data. We promote a core set of values – designed to promote our future vision of team-oriented, data driven global biomedical research: 1) Do good for the patient, 2) Simplify, 3) Share openly, 4) Focus, 5) Synergize, 6) Contributions, not politics, and 7) Deliver.   

What You’ll Do:

Postdoc fellows may work on many of the cutting-edge research areas at Mount Sinai, including:

  • Analyzing high dimensional molecular profiles including but not constraint to DNA/RNA sequencing, epigenetic, proteomics, and microbiome data;  
  • Analyzing massive electronic medical record data; 
  • Analyzing irregular time course data from mobile health studies;
  • Scalable machine-learning/deep-learning methodology research with application to biomedical data.
  • Mediation and causal-inference methodology research with application to medical/clinical-trial studies.  

The ideal candidate will have strong analytical and programming proficiencies and proven expertise in high-dimensional data analysis.

Duties and Responsibilities:

  • Develop and use computational techniques to analyze large-scale biomedical datasets.
    • Develop and implement proper statistical/computational models;
    • Develop and implement proper data visualization tools;
    • Perform rigorous and reproducible data analyses;
    • Identify and resolve technical issues and propose upgrades to current software;
  • Take the lead in manuscripts preparation and facilitate grant writing;
  • Collaborate with researches from other disciplines;
  • Participate scientific conferences and present research works;
  • Other technical and leadership duties as assigned and commensurate with experience and skills

What You’ll Bring:

  • Ph.D. in Computer Science, Bioinformatics, Statistics, Computational Biology, or other relevant quantitative discipline.
  • Good organization and communication skills, with demonstrated ability to productively work as a member of a team.
  • Demonstrate outstanding scientific writing skills and experience.
  • Experience in data science, machine learning, statistical modeling, genomic analysis, or other relevant analytical field
  • Experience in programming environments such as R, Matlab, SAS, Stata, Python/Jupyter
  • Working experience with genetics or statistics analysis and online resources or other biomedical data analysis is a plus

Apply

To apply, send your research interests and resume to data@mssm.edu or go to: https://careers.mountsinai.org/jobs/2335974?lang=en-us

 

Research Track Assistant Professor in Data Science 

Job Description

What You’ll Do:

A Research Track Assistant Professor in Data Science will lead a team that works with clinicians, researchers, and engineers to conduct statistical and genomic analyses. Effective data science is critical to the success of our research efforts and hospital operations, ensuring we make correct inferences from the vast wealth of biomedical data generated at Mount Sinai every day.

Research Track Assistant Professors in Data Science may work on many of the cutting-edge research areas at Mount Sinai, including:

  • genomic analyses of structural variation, epigenetics, and gene expression
  • scalable machine-learning approaches to network and predictive models of biological processes
  • medical-record normalization and inference
  • matching-methods and causal-inference

The ideal candidate will:

  • have proven leadership experience in managing a multi-disciplinary team
  • demonstrate successful grantsmanship skills and experience
  • be expert in statistical- and genomic-analysis, experiment design, and software development
  • collaborate with stakeholders from around the institution to develop projects and drive their implementation
  • be a strong technical contributor individually in addition to mentoring and managing a team of data scientists
  • be passionate about working at the intersection of biomedical research and healthcare provision

Duties and Responsibilities:

  • Lead a team in developing novel statistical strategies, genomic analyses, and machine learning techniques for biomedical datasets
  • Make critical decisions about experiment design; ensure rigorous hypothesis development and testing practices for themselves and others
  • Guide creation of interpretable models and data visualizations.
  • Collaborate with researchers, clinicians, engineers, and wet-bench biologists to identify projects that deliver maximum clinical and scientific value, and manage their planning, execution, and timelines
  • Design and implement bioinformatics tools and processes for analysis of large datasets
  • Identify and navigate software and process issues; understand the space of available tools and methods and make high-impact decisions about what to use and how to use it
  • Last-author manuscripts and presentations of methods and results
  • Play key roles in grant-writing and research group management
  • Other related duties as assigned

What You’ll Bring:

  • Doctoral degree and postdoctoral experience in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline
  • Good organization and communication skills, with demonstrated ability to productively work as a leader and member of a team. Strong verbal and written communication skills in English are required
  • 10+ years of experience in data science, statistical modeling, or genomic analysis
  • Working experience with genetics or statistics analysis software and online resources
  • Experience in multiple programming environments such as R, Matlab, SAS, Strata, Python/Jupyter

Apply

To apply, send your resume to data@mssm.edu.

Digital Health Faculty

Download job description here

The Center for Digital Health is looking for a Digital Health (DH) Faculty member, who will assist with the design, execution and management of DH related projects according to the strategic direction set by the Director of Digital Health and Personalized Medicine. Our team’s DH portfolio contains both research initiatives and commercial products.

The primary goal of the Center for Digital Health (CDH) is to empower and engage users using digital technology to ultimately improve individual health outcomes. Our dedicated team of clinical researchers, engineers, product designers, data scientists and clinicians work collaboratively with academic and industry partners to create digital platforms that enable large scale and ongoing participation from patients and consumers. We derive meaningful evidence from the high-dimensional, real world data collected on genetically diverse populations and individuals which in turn informs best research and clinical practice. The CDH is an integral part of the Mount Sinai precision medicine ecosystem with world-class capabilities in molecular profiling, discovery-based big data research, and clinical translation.

Primary Duties and Responsibilities: He/She will help 1. Lead the team in operational, program, and financial planning and management of our DH portfolio, 2. Serve as the collaborator and client liaison for the DH division’s academic, commercial, and technology partners, 3. Work closely with DH staff [project manager(s), research coordinator(s), etc.], 4. Assist in the writing and preparation of grant applications, protocols, informed consent forms and any other regulatory documents, 5. Co-author research papers in peer reviewed scientific journals and present at conferences and other venues using latest data science and statistical methods, 6. Supervise junior team members who are participating in DH projects and initiatives, 7. Attend relevant meetings/conferences.

Skills and abilities: 1. Adaptability: Demonstrate a willingness to be flexible, versatile and/or tolerant in a changing work environment while maintaining effectiveness and efficiency. 2. Build Relationships: Establish and maintain positive working relationships with others, both internally and externally, to achieve the goals. 3. Communicate Effectively: Speak, listen and write in a clear, thorough and timely manner using appropriate and effective communication tools and techniques. 4. Creativity/Innovation: Develop new and unique ways to improve operations of the organization and to create new opportunities. 5. Foster Teamwork: Work cooperatively and effectively with others to set goals, resolve problems, and make decisions that enhance organizational effectiveness. 6. Lead: Positively influence others to achieve results that are in the best interest of the team. 7. Organize: Set priorities, develop a work schedule, monitor progress towards goals, and track details, data, information and activities 6. Plan: Help determine strategies to move the organization forward, set goals, create and implement actions plans, and evaluate the process and results.

Required Qualifications

  • Advanced degree (e.g., MD, PhD) – ABDs will be considered
  • Grant writing/management and/or clinical trial design/management experience 
  • Strong written and oral communication skills in English are essential
  • Strong leadership skill and experience in working with multi-disciplinary team

Preferred Qualifications

  • Formal training in or >5 years of work experience in: medicine, genomics, software development, IT, programming, bioinformatics or related fields
  • High level of work ethic/independence/integrity and excellent judgment/ social skills 
  • Prior experience in writing and publishing scientific manuscripts
  • 2 or more years of applicable mobile health research and/or general DH experience

 

For further information, please contact Rafhael Cedeno at rafhael.cedeno@mssm.edu

 The Icahn Institute and the Department of Genetics and Genomic Sciences have multiple positions open for postdoctoral fellows, research scientists, and data scientists in the areas of:

  • Statistical Genetics
  • Network Modeling
  • Biological Data Mining
  • Data Science
  • Sequence Bioinformatics

 Apply

 To apply, send your research interests and resume to data@mssm.edu.

 Lab Websites

 Labs hiring within the Institute and Department focused on the above topics are listed below:

 

Volunteer with the Department of Genetics and Genomic Sciences

We offer volunteer opportunities in multiple areas across our department, including laboratory work, computer science, administration, and operations. If you're interested in volunteering with us, please get in touch with our Human Resources Manager, Michael Boots at michaelboots@mssm.edu