Employment Opportunities

The Mindich Child Health and Development Institute (MCHDI) focuses on translational research of diseases affecting infants, children, and adolescents. Our main areas of research include: allergy and asthma, cardiovascular disease, neurodevelopmental disorders, obesity and diabetes, and others. If you have the talent and experience we are seeking, we encourage you to browse the below opportunities and submit an application. We hope you will be joining our dynamic team of research faculty.

This is an exciting opportunity for a joint appointment in the collaborating laboratories of Drs. Andrew Sharp and Bruce Gelb in the Department of Genetics and Genomic Sciences at Mount Sinai School of Medicine in New York. Dr. Sharp's group performs innovative genomic analyses of structural variation, epigenetics, and gene expression applied to human disease, while Dr. Gelb is a Principle Investigator of the Pediatric Cardiac Genomics Consortium and also directs the Pediatric Precision Medicine Program at Mount Sinai.

We are seeking a bioinformatics analyst who will be employed through NIH-funded grants to work on a variety of projects and gain exposure to many productive areas of research in human genetics, including analysis of whole genome sequencing data, DNA methylation, and gene expression. The research environment provides ample opportunities to work on both individual and team projects, with excellent publication prospects and opportunities for personal growth.

The ideal candidate will be MSc or PhD level and have strong statistical and programming proficiencies with proven expertise in genomic analysis, ideally including analysis of high-throughput sequencing data and statistical approaches for genomics. Knowledge of online tools and databases for genetic analyses is a strong advantage. Desired skills include experience in statistical genetics, R, Python, Perl, with knowledge of QC and management of large genomic datasets generated by microarrays and high throughput sequencing. The right candidate will have strong 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.

A competitive salary and excellent benefits package will be provided commensurate with experience.

To apply, please submit a CV and names and contact information of three references to: Dr. Andrew Sharp; E-mail: andrew.sharp@mssm.edu

About Our Organization

The Icahn School of Medicine at Mount Sinai is internationally recognized as a leader in groundbreaking clinical and basic science research and is known for its innovative approach to medical education.

With a faculty of more than 3,400 in 38 clinical and basic science departments and centers, Mount Sinai ranks among the top 20 medical schools in receipt of National Institutes of Health grants. In its 2015 "America’s Best Graduate Schools" issue, U.S. News & World Report ranked the Icahn School of Medicine 14th out of 130 medical schools nationwide.

Mount Sinai Health System is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds.

Mount Sinai Health System--An EEO/AA-D/V Employer.

A Research Assistant position is available for January 2017 in the Chu Lab at the Icahn School of Medicine at Mount Sinai. We use zebrafish to investigate the role of sugar metabolism in liver fibrosis and cancer metabolism.

Job Description / Essential duties:
Provide research assistance for a lab using both zebrafish and tissue culture. Genotype, screen, and maintain zebrafish lines. Maintain lab stock solutions and order reagents.

Requirements:
Candidates must have a Bachelor’s degree or Master’s degree in Biology/Molecular biology or a related field and relevant research experience. Ideally, candidate has experience in standard molecular biology techniques, such as DNA cloning, PCR, tissue culture and microinjection. Individuals with zebrafish or tissue culture experience will be given priority, and candidates with relevant experience with other animal models are also encouraged to apply.

Skills and Abilities:
Hands-on experience in molecular biology; strong instrumentation skills.
High degree of independence, fast-learner, highly motivated, enthusiastic and strong work ethic.

Interested candidates should email their cover letter and CV to Dr. Jaime Chu at jaime.chu@mssm.edu 

Computational Genetics and Genomics of Autism and Epilepsy

Post-doctoral researcher to lead NIMH-funded project related to CNV/SNV/indel discovery in autism and epilepsy using exome and whole-genome sequencing (WGS) data generated in our Lab as part of our clinical genomics program (pintolab.mssm.edu/nddprogram), and further integrate with external data. Relevant findings will be followed-up in IPSC-derived neural progenitor cells. The position requires a quantitative background and/or extensive experience with genomic data analysis. Experience in molecular biology and functional validation of disease-associated variants, including cell culture, is a plus but not required. The selected applicant will work within a multidisciplinary team, and interact with clinical scientists, clinical research coordinators and database manager. This position requires demonstrated experience with UNIX, Python, and/or C/C++, and R, and expertise with exome or WGS data.

Interested candidates can send their CV, a short description of research interests and experience, and contact information for three references by email to dalila.pinto@mssm.edu. Application Deadline: New.

Computational Genetics and Genomics of Schizophrenia

Post-doctoral researcher to lead NIMH-funded project related to the generation and analysis of short-read and long-read RNAseq in brain samples. The position involves integrating non-coding and coding RNA from large scale data with prior genetic knowledge and epigenetic data, as well as quantifying isoforms, co-expression and network-based analyses and modeling to assess the role of non-coding RNA in gene regulatory networks. The selected applicant will work within a multidisciplinary team and participate in the PsychENCODE consortium (http://psychencode.org/). This position requires demonstrated experience with UNIX, Python, C/C++ and R, and expertise with RNAseq data.

Interested candidates can send their CV, a short description of research interests and experience, and contact information for three references by email to dalila.pinto@mssm.edu. Application Deadline: New.

For a listing of postdoc resources at Mt Sinai, consult our selection at https://pintolab.mssm.edu/contact.html.

For more info on open positions please visit: https://www.nature.com/naturejobs/science/jobs/648491-postdoctoral-positions-in-the-genomics-of-neuropsychiatric-disorders and  https://pintolab.mssm.edu/positions

 

Graduate students

Graduate student positions are frequently available. We accept rotation students from Mount Sinai PhD, MD-PhD, MD, & MS programs. Students interested in a rotation should contact Dr. Dalila Pinto (dalila.pinto@mssm.edu). The Graduate Student Handbook is available online.

We invite you to apply for a Postdoctoral Research Fellowship in genetic epidemiology, statistical genetics or related fields with a focused interest in cardiometabolic traits and diseases.

By using genetics, this program aims to understand the biology that underlies the susceptibility to obesity and its links to related cardiometabolic traits. We study common, low frequency and rare variants [1] in an ancestrally diverse population of more than 33,000 individuals recruited throughout New York City through the Mount Sinai’s ongoing BioMe EMR-linked Biobank, [2] in the large-scale UK Biobank (n = 500,000), and [3] in a unique discordant-sibling family study.

In this position you are supervised directly by Ruth Loos, PhD. You have the opportunity to work with a large portfolio of data collections (including EMR-linked, population-based, discordant-family designs) with high-density genotyping data (including genome-wide arrays, ExomeChip, and deep-sequencing), to develop independent research projects, and to participate in large-scale international collaborations.

The ideal candidate has a PhD or equivalent doctorate, a strong background in genetic epidemiology, epidemiology, statistical genetics, bioinformatics, computational biology or a related discipline and has demonstrated scientific productivity. Applicants should have a strong computational background and  expertise with statistical genetic/bioinformatic software packages applied to large genomic data sets. S/he will be familiar with approaches to integrate biological information from a wide-range of (publicly available) data resources. Research experience in regulatory genomics and/or the genetics of obesity and cardiometabolic traits is a strong advantage.

You will be based at the main campus, which stretches from East 98th to 102nd Streets between Madison and Fifth Avenues on Manhattan's Upper East Side and Central Park.

Deadline: Ongoing

To apply, send your curriculum vitae and cover letter to Ruth Loos, PhD.

Learn more about the Postdoctoral Training Program at the Icahn School of Medicine at Mount Sinai.

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

The Icahn School of Medicine at Mount Sinai in New York is seeking a talented, self-motivated individual to participate in cutting edge research as a member of the Asthma and Allergy group at the Institute for Genomics and Multiscale Biology. The successful applicant will be part of an interdisciplinary team that applies computational analysis and bioinformatics to interpret multi-scale data generated from subjects with asthma and allergic diseases. Members of the team work closely with Dr. Supinda Bunyavanich and Dr. Eric Schadt

Deadline: TBA

Learn more about this position

To apply, please submit a letter of interest and CV to Dr. Supinda Bunyavanich at supinda.bunyavanich@mssm.edu.

The Seaver Autism Center is seeking researchers at the Assistant, Associate, or Full Professor levels who focus on patient-based research in autism spectrum disorder (ASD). Up to three positions are available, with at least one position prioritized for a clinician-scientist (MD or clinical psychologist) who would help manage the clinical research program. Successful applicants will have a very competitive track record in publications, and, for more senior applicants, in federal funding. Generous startup packages are available. Applicants will be members of one or more relevant Departments and Institutes of the Icahn School of Medicine at Mount Sinai.

Deadline: Ongoing

If you are Interested in this position, send your CV, a three-page summary of future research plans, and contact information for three references to:

Joseph D. Buxbaum, PhD

Neurodevelopmental disorders are a common group of developmental disabilities affecting individuals of all ages. Understanding the causes and biological mechanisms underlying these disorders is crucial to improve the ability to diagnose and treat individuals.

The Icahn School of Medicine at Mount Sinai is looking for a postdoctoral researcher to assess the role of noncoding RNAs in gene regulatory networks underlying neurodevelopmental disorders. The position involves integrating noncoding and coding RNA expression data with prior genetic knowledge, as well as quantifying noncoding RNA isoforms, co-expression and network-based analyses and modeling. The candidate will use the latest next-generation sequencing technologies to analyze transcriptomes and identify long full-length noncoding RNA isoform variants.

We are seeking a motivated postdoctoral candidate with strong computational and analytical skills and an interest in applying computational and systems biology approaches. The ideal candidate will have a PhD in genomics, bioinformatics with a strong background in RNA biology and excellent quantitative skills. The selected applicant will work within a multidisciplinary team and be part of a recently funded NIMH PsychENCODE project. This position requires extensive experience with UNIX, Python, C/C++ and statistical environments such as R, and familiarity with large-scale GWAS and RNA-Seq data.

Deadline: TBA

Learn more about this position

To apply, please e-mail a CV, a brief description of research experience and interests, and contact information for 1-3 references to: 

Dalila Pinto, PhD