Careers

Available Positions

Our faculty and staff at the Department of Genetics and Genomic Sciences and the Icahn Institute for Data Science and Genomic Technology 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.

Assistant or Associate Professor in Single Cell Computational Biology and Genomics (tenure track or research track)

Mount Sinai, located in New York, NY is seeking exceptional Assistant or Associate Professor tenure-track or non-tenure track (research track) faculty candidates to lead ambitious data driven research programs in the Pamela Sklar Division of Psychiatric Genomics (DPG) and the Icahn Institute for Data Science and Genomic Technology (datascience.icahn.mssm.edu) focusing on single cell analysis.

As biomedical research becomes an increasingly data-intensive science, success will require a goal-directed, team-oriented approach in which innovations and ideas developed by computational researchers working on related problems serve to build on and enhance the work of all team members. We seek faculty members interested in working in a fast paced, highly collaborative environment in which interdisciplinary teams of data scientists, technology innovators, and experts in key diseases work together with the shared goal of leveraging large-scale data, coupled with applications of advanced genomic technologies, to predict, test, and translate novel therapies faster and more effectively.

Faculty recruits will be appointed in the vibrant Departments of Genetics and Genomic sciences (5th ranked nationally), Psychiatry (6th ranked nationally) and Neuroscience (1st ranked nationally), which are currently among the top ranked departments nationally based on NIH funding. The appointed faculty will be embedded in an interdisciplinary team of clinicians, wet lab scientists, bioinformaticians, statistical geneticists and computational biologists. DPG studies the genetic mechanisms through which risk genetic variants increase vulnerability for neuropsychiatric traits, including schizophrenia, bipolar disorder and Alzheimer’s disease. Distinguishing features of our research are the generation of large-scale omics data in human brain tissue, including epigenomics and transcriptomics at the single cell level as part of the CommonMind ConsortiumPsychENCODE Project and AMP-AD projects. The appointed faculty will be responsible for developing a program that applies state-of-the-art approaches to perform integrative analysis of high dimensional, heterogeneous single cell omics data combined with other molecular, imaging, and clinical datasets to infer predictive models of biological phenotypes and functional interventions that induce desired phenotypic transitions. Candidates should have advanced training in computational biology and machine learning focusing on single cell analysis, with a track record of innovation in a biomedical application, as evidenced by a strong publication record.

Applicants should have a Ph.D. in computer science, applied mathematics/statistics, computational biology, or another relevant quantitative scientific discipline. M.D. or M.D./Ph.D. candidates with advanced computational training are also encouraged to apply. Applications should include a CV, research plan, and cover letter.

We offer highly competitive recruitment packages, strong institutional commitments to faculty support, comprehensive benefits, relocation services, and a rewarding work and life environment. The Icahn School of Medicine is located in the heart of Manhattan with offices one block from central park.

Review of applications will begin immediately, and will remain open until positions are filled.

Tenure track candidates are expected to obtain independent funding to grow and sustain their research program. Research track candidates are expected to lead core data science initiatives of the Icahn Institute and contribute to funding applications, without an expectation of obtaining independent funding. If you are applying for one position but would like to be considered for both, please state this in the cover letter.

Apply

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

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.

Post Doctoral Fellow in Computational Biology

Position Description

We are looking for highly motivated, detail-oriented individuals genuinely interested in research bridging medicine and genomics to join the newly established Tsankov lab at the Icahn School of Medicine at Mount Sinai in New York City. Our lab’s overall vision is to build data-driven, quantitative models that improve diagnosis, find new drug-able pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We process and analyze clinical samples from patients with the goal of unraveling the underlying regulatory mechanisms in normal lung cell homeostasis and interactions with the immune and stromal microenvironment as well as elucidating changes in cellular and tissue regulation in individuals with lung disease. New lab members have the option of being cross-trained to apply and develop computational frameworks and experimental techniques for high-throughput, next generation sequencing (NGS) datasets (e.g. single-cell transcriptomic, epigenomic, and spatial data). The vibrant, multidisciplinary training environment will allow for learning the state-of-the- art in single cell genomics analysis/technologies and for close interactions with clinical scientists and our collaborators at Mount Sinai, the Broad Institute, and Harvard Medical school.

Job responsibilites:

  • Process and analyze NGS and other biomedical data using establishedpipelines.
  • Develop and benchmark new tools for NGS and single cell dataanalysis.
  • Collaborate with researchers in interpretation ofdata.
  • Participate in the preparation of manuscripts, grants, andpresentations.

Requirements:

  • BS, MS, or Ph.D. in computer science, comp bio, or other quantitativediscipline.
  • Team oriented with abilities to think creatively and workindependently.
  • Excellent written and verbal communicationskills.
  • Programming/scripting skills in R, Matlab, Python/Jupyter, Perl, Unix, and/orLSF.
  • Training in machine learning, statistical modeling, and NGS genomic analysis aplus.
  • A genuine love for science andpeople.

Interested applicants please send 1) your CV with a list of publications and research experiences, 2) a short summary of your present and future research interests, and 3) for postdocs a list of three references and their contact information to Alex Tsankov (atsankov@broadinstitute.org).

Mount Sinai offers numerous career development opportunities and benefits, including subsidized housing for students and postdocs, recreational programs/activities, excellent health, dental, and vision insurance. Compensation will be commensurate with experience. For more information please visit our lab’s website.

Thank you for your interest in our lab!

Post Doctoral Fellow in Experimental Biology 

 

Position Description

We are looking for highly motivated, detail-oriented individuals genuinely interested in research bridging medicine and genomics to join the newly established Tsankov lab at the Icahn School of Medicine at Mount Sinai in New York City. Our lab’s overall vision is to build data-driven, quantitative models that improve diagnosis, find new drug-able pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We analyze clinical samples from patients with the goal of unraveling the underlying regulatory mechanisms in normal lung cell homeostasis and interactions with the immune and stromal microenvironment as well as elucidating changes in cellular and tissue regulation in individuals with lung disease. New lab members have the option of being cross-trained to apply and develop computational frameworks and experimental techniques for high-throughput, next generation sequencing (NGS) datasets (e.g. single-cell transcriptomic, epigenomic, and spatial data). The vibrant, multidisciplinary training environment will allow for learning the state-of-the-art in single cell genomics analysis/technologies and for close interactions with clinical scientists and our collaborators at Mount Sinai, the Broad Institute, and Harvard Medical school.

Job duties:

  • Patient sample processing, cell dissociation, and flowcytometry.
  • Adopt and develop NGS and single cell protocols andtechnologies.
  • FISH and IHC on tissues, exposure to tissue/organoidculture.
  • Strong background in immunology, lung, or cancer biology aplus.
  • Participate in the preparation of grants, manuscripts, andpresentations.

Requirements:

  • Ph.D. or MD-PhD in molecular biology, cancer, immunology, and/orgenomics.
  • Team oriented with excellent written and verbal communicationskills.
  • Training/exposure to lung biology, cancer biology, and/or genomics aplus.
  • Familiarity with tissue culture, genome editing, and/or cancer assays aplus.
  • A genuine love for science andpeople.

Interested applicants please send 1) your CV with a list of publications and research experiences, 2) a short summary of your present and future research interests, and 3) a list of three references and their contact information to Alex Tsankov (atsankov@broadinstitute.org).

Mount Sinai offers numerous career development opportunities and benefits, including subsidized housing for students and postdocs, recreational programs/activities, excellent health, dental, and vision insurance. Compensation will be commensurate with experience. For more information please visit our lab’s website

Thank you for your interest in our lab!

Postdoc/Scientist: Long Reads and Epigenomes; Pathogen, Microbiome, Human Diseases

Job description Icahn School of Medicine at Mount Sinai (Top-20 medical school in the US) in New York City. Our lab is in the Department of Genetics and Genomic Sciences and the Icahn Institute for Data Science and Genomic Technology.

Our lab (computation + experiment) pioneered the fast growing field of bacterial epigenomics (Nature Biotechnology, 2012; Nature Reviews Genetics, 2018). We also pioneered the use of DNA methylation for high resolution microbiome analysis (Nature Biotechnology, 2018). In addition, we contributed to the discovery of a novel form of DNA methylation (6mA) in mammalian genomes (Nature, 2016; Genome Research, 2018). We have unique expertise in the use of third generation sequencing (Single Molecule Real-Time by PacBio, ~20kbp read length, and the emerging Oxford Nanopore sequencing technology).

We are looking for highly motivated candidates for multiple PostDoc Fellow positions on the topics of Epigenomics, Trancriptomics, Microbiome analysis. We focus on both novel Technology Development, Disease Systems Biology and Precision Medicine. Three research sub-directions

  1. Bacterial epigenomics, epigenetics for the discovery of novel regulators and drug targets in pathogens and their interactions with human.
  2. Human Microbiome. Novel technology for, and its applications to, high resolution characterization of gut microbiome and its important roles in human disease.
  3. Cancer and brain epigenetics. Novel technology for the mapping 6mA in eukaryotic genomes and functional characterization of its functional roles in human diseases.

Successful candidates will have unique opportunities to i) build on our unique expertise in third- generation long read sequencing, large scale collection of clinically relevant samples and a strong network of collaborators, ii) take the lead role in projects developing cutting edge, pioneering genomic and epigenomics technologies in the context of innovative applications with high biological, biomedical and clinical impact. Compensations for successful candidates are highly competitive.

Subsidized housing (in New York City) is also available.

Recent publications: Nature Reviews Genetics, 2018 * Nature Biotechnology, 2018 * Genome Research, 2018 * Nature, 2016 * Cell Reports, 2016 * Nature Communications, 2015 * PLoS Genetics, 2015 * Biological Psychiatry, 2015 * Nature Communications, 2014 * Molecular Psychiatry, 2014 * PLoS Genetics, 2013 * PLoS Computational Biology, 2013 * Nature Biotechnology, 2012 * Genome Research, 2012

View Lab page with details

Requirements: 1a) Candidates with computational background are expected to have solid training in bioinformatics, genomics, epigenomics transcriptomics, or metagenomics, 1b) molecular biology skills is a plus but not required. 2) Ability to learn and master new technologies and skills, 3) Abilities to lead an independent research direction while adapting to a collaborative environment, 4) An innovative yet critical thinker.

How to apply: 

1. Please send the following to fanggang@gmail.com: 1) A brief cover letter, 2) CV with a list of publications, 3) PDF files for the papers in which you are first or co-first author.

2. Apply online 

Postdoc Fellow – ICAHN INSTITUTE FOR DATA SCIENCE AND GENOMIC TECHNOLOGY - GENETIC & GENOMIC SCIENCES

Locations: New York, New York

Categories: Research

Job Description

The Icahn Institute for Data Science and Genomic Technology 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 visit here

 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:

 

Our Department and Institute collaborate extensively with the school's Scientific Computing Department. Opportunities to join this multidisciplinary team are below: 

 

Application Support Analyst

Roles & Responsibilities:

The Application Support Analyst for the Scientific Computing department assists with the overarching goal of accelerating translational research and improving clinical care.

The Application Support Analyst has a passion for customer satisfaction and attention to detail. This position is responsible for providing exemplary service to clients while handling technical enquiries for the Scientific Computing Team’s Software Products and Services, such as our Electronic Research Application Portal (eRAP), REDCap, Data Warehouse, Cohort Query Tool (CQT), i2b2, and other Research Products.

Apply Here

 

Associate IT Director

Roles & Responsibilities:

The Associate Director, Scientific Computing is responsible for planning, implementing, leading and managing both Mount Sinai- and nation-wide information systems and technologies to help accelerate translational research and improve clinical care. To meet Sinai’s scientific and clinical goals, the incumbent will bring a strategic, tactical and customer-focused vision with the accompanying leadership to transform Sinai’s data-rich database and software resources to be more efficient and effective. The development and execution of the vision will include a deep technical understanding of databases, software development, customer service, best practices, research, collaboration and operations. This position reports to the Senior Director for Scientific Computing.

Apply Here

 

Data Engineer II

Roles & Responsibilities: 

The Data Engineer II will focus on data collection, movement, storage, transformation processing, and storage of Big Data. The incumbent will work with both current ETL/Data Warehousing and future Big Data/Streaming/Pipeline architectures. The focus will be on choosing optimal solutions to use for these purposes, then implementing, maintaining, and monitoring them. Always keeping in mind, the overarching goal of accelerating translational research and improving clinical care. 

Apply Here

 

Data Quality & Compliance Analyst

Roles & Responsibilities:

The Data Quality and Compliance Analyst oversees the quality, compliance and timeliness of all data management activities for the Mount Sinai Data Warehouse (MSDW). The incumbent is responsible for reviewing IRBs, identifying data elements and time periods based on the IRB, and then verifying the subsequent data sets will be delivered in accordance and meet appropriate data quality goals. The Data Quality and Compliance Analyst understands and stays current on HIPAA, IRB, security and all other compliance requirements. The incumbent develops and monitors data compliance and delivery metrics, and ensures appropriate compliance documentation and training for MSDW staff.  

Apply Here 

 

Data Warehouse/ETL Developer

Roles & Responsibilities:

The Data Warehouse ETL Developer designs, tests, implements, maintains and controls the Mount Sinai Data Warehouse, with the overarching goal of accelerating translational research and improving clinical care.

The incumbent will develop and transform databases and data marts across multiple platforms, technologies (e.g., Relational, Columnar, NoSQL) and computing environments (e.g., host based, distributed systems, cloud) for Sinai-specific and NIH-funded national resources and projects. The incumbent will design, develop and manages these resources in a high-performance computing and data warehousing environment, utilizing a thorough understanding of available technology, tools and best practices.  Specific responsibilities are listed below:

Apply Here 

Data Warehouse Lead Developer/Analyst

Roles & Responsibilities:

The Data Warehouse Lead Developer/Analyst designs, tests, implements, maintains and controls the Mount Sinai Data Warehouse, with the overarching goal of accelerating translational research and improving clinical care. 

The incumbent will develop data warehouses and data marts across multiple platforms and technologies (e.g. Oracle, PostgreSQL, MS SQL, and other columnar and search technologies) for Sinai-specific and NIH-funded national resources and projects. Designs, develops and manages these resources in a high-performance computing and data warehousing environment, utilizing a thorough understanding of available technologies, tools, and best practices. Provides world-class support of researchers – fulfilling data requests in various forms (e.g. data feeds, data marts, reports, etc.). Operates as a technical team lead, providing mentorship, strategic technical solutions, recommendations, and guidance for other team members.

Apply Here

 

Lead Applications Developer

Roles & Responsibilities: 

The Lead Applications Developer of Scientific Computing designs and develops applications, provides supervision and coordination, directs and checks the work of other software developers. Specific responsibilities are listed below.

Apply Here

 

Manager Research Data Warehouse

Roles & Responsibilities:

The Manager-Research Data Warehouse is responsible for planning, implementing, leading and managing both Mount Sinai- and nation-wide information systems and technologies to help accelerate translational research and improve clinical care. To meet Sinai’s scientific and clinical goals, the incumbent will bring a strategic, tactical and customer-focused vision with the accompanying leadership to transform Sinai’s data-rich database and software resources to be more efficient and effective. The development and execution of the vision will include a deep technical understanding of databases, data technology, ETL and data transformation, customer service, best practices, research, collaboration and operations. This position reports to the Senior Director - Scientific Computing.

Apply Here                                                                                                                                                                                                                                                                                          

Research Informatics Business Analyst

Roles & Responsibilities:

The Research Informatics Business Analyst for the Scientific Computing department assists with the overarching goal of accelerating translational research and improving clinical care. 

The incumbent will analyze, document, design deliver, and support major systems and technologies including Sinai-specific and NIH-funded national resources and projects in high performance computing and data warehousing, utilizing a thorough understanding Project Management and Business Analysis industry standards and best practices.

Apply Here

 

Research Informatics Project Manager

Roles & Responsibilities:

The Research Informatics Project Manager for the Scientific Computing department assists with the overarching goal of accelerating translational research and improving clinical care. 

The incumbent will be leading, planning, managing and directing multiple complex projects consisting of one or more project teams including Sinai-specific and NIH-funded national resources and projects in high performance computing and data warehousing, utilizing a thorough understanding Project Management and Business Analysis industry standards and best practices.

Apply Here

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