Assistant or Associate Professor in Human Computational Genomics (tenure track)

Institute for Genomic Health at the Icahn School of Medicine at Mount Sinai; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

The Institute for Genomic Health at the Icahn School of Medicine at Mount Sinai in New York City seeks exceptional tenure-track faculty candidates to lead data-driven genomic research bridging genomics, AI/ML, and medicine.

Candidates will develop independent programs using large-scale genomic and multi-omic data, collaborate with clinicians and data scientists, and help translate discoveries into health improvements across diverse populations.

Qualifications

• PhD in a quantitative discipline with advanced training in computational genomics or related field.
• Strong publication record in genomics, biostatistics, or AI-driven biomedical research.
• Demonstrated enthusiasm for collaborative, team-science environments.

Responsibilities

• Develop an independent, innovative research program leveraging large-scale genomic/multi-omic data.
• Lead data-driven genomic research spanning population genetics, AI/ML, and EHR mining.
• Collaborate with clinicians, data scientists, and other stakeholders to translate findings.
• Pursue independent funding to grow and sustain the program.

Skills

Team science

Publication record

Education

PhD in statistical genetics, population genetics, computer science, applied mathematics, computational biology, machine learning

MD or MD/PhD with computational training

Tools

High-performance computing

EHR data analysis

Job description

Institute for Genomic Health | Icahn School of Medicine at Mount Sinai | New York City

Shape the future of Genomic Health at unprecedented scale

Mount Sinai, located in New York City, NY is seeking exceptional Assistant or Associate Professor tenure-track faculty candidates to lead ambitious data-driven genomic research programs at the interface of genomics, AI/ML/computer science, and medicine in the Institute for Genomic Health (IGH) at the Icahn School of Medicine at Mount Sinai.

Genomic health has arrived. Genomics- and AI-enabled analysis of millions of sequenced genomes linked to real-world clinical data is transforming how we predict, prevent, diagnose, and treat disease. Mount Sinai is one of the few places in the world where that transformation is happening inside a health system, at population scale, in highly diverse patient communities. IGH, led by Founding Director Professor Eimear Kenny, sits at the center of this effort.

Why Mount Sinai? The data, the team, the mission.

Mount Sinai has a data and compute ecosystem at a scale few institutions can match. Faculty enjoy full access to:

• The Mount Sinai Million Health Discoveries Program: launched in 2022 in partnership with the Regeneron Genetics Center, this landmark initiative is sequencing the genomes of one million racially and ethnically diverse Mount Sinai patients linked to their electronic health records, making it one of the largest and most diverse health-system-based sequencing efforts in the world.
• The BioMe Biobank: a pioneering EHR-linked germline DNA repository of more than 70,000 Mount Sinai patients, generating genomic discoveries since 2007.
• A state-of-the-art high-performance computing and AI ecosystem: purpose-built for genomic-scale machine learning.
• Genomic, multi-omic, and disease/EHR data: through leadership roles in major NIH-funded consortia, including eMERGE, PRIMED, CSER, TOPMed, GSP, PAGE, CAAPA, the Human Pangenome Reference Consortium (HPRC), and the NIH All of Us Research Program.

You will be embedded in a fast-paced, highly collaborative team of data scientists, clinician-scientists, genetic counselors, health system researchers, and disease-area experts who share a single goal: translating large-scale genomic data into new paradigms for human health.

Current arenas of IGH research include mining deep genomic databases with machine learning and AI; basic and discovery science spanning population and statistical genetics, variant interpretation, structural variation, host genomics of infectious disease, and the genetics of complex and psychiatric traits; accelerating clinical genomic and polygenic risk prediction; running clinical trials that integrate genomic information and novel technology into routine care; and advancing health equity by building the resources, knowledge, and best practices needed to bring genomic medicine to diverse and underserved populations.

The Role

The successful candidate will develop an independent, innovative research program that leverages large-scale genomic and/or multi-omic, and clinical data to improve human health. Research programs may span, but are not limited to:

• Population and statistical genetics
• Computational, machine-learning, and AI approaches for genomics and/or EHR mining, including foundation models for biology and medicine
• Monogenic disorders and complex diseases
• Genomic and polygenic risk prediction for preventive health
• Translating genomic discoveries into novel therapies
• Implementation of genomic medicine in health systems and diverse populations

Faculty recruits will hold a primary appointment in IGH and a secondary appointment in a related Department, such as the Department of Genetics and Genomic Sciences, Department of AI and Human Health, or the Department of Medicine (all consistently ranked among the top departments nationally for NIH funding). Tenure-track candidates are expected to obtain independent funding to grow and sustain their research program, and will receive the institutional support and mentorship to do so.

Qualifications

• PhD in statistical genetics, population genetics, computer science, applied mathematics, computational biology, machine learning, or another relevant quantitative discipline; MD or MD/PhD candidates with computational training are strongly encouraged to apply
• Advanced training in computational genomics, genomic research, and/or genomic medicine
• A track record of innovation in a biomedical application, evidenced by a strong publication record
• Enthusiasm for team science in a collaborative, mission-driven environment

What we offer

• Highly competitive recruitment packages, including generous start-up funding, protected research time, and dedicated computational resources
• Strong institutional commitment to faculty mentorship, career development, and workforce diversity
• Comprehensive benefits and relocation services
• A rewarding work-life environment in the heart of Manhattan. Our offices are one block from Central Park!

Strength Through Diversity

The Mount Sinai Health System believes that diversity and inclusion is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize healthcare delivery together. We work hard to recruit and retain the best people, and to create a welcoming, nurturing work environment where you have the opportunity and support to develop professionally. We share the belief that all employees, regardless of job title or expertise, have an impact on quality patient care.

Who We Are

Over 42,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.

Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai Morningside (formerly Mount Sinai St. Luke’s), and New York Eye and Ear Infirmary of Mount Sinai.

The Mount Sinai Health System is an Equal Opportunity Employer. We comply with applicable Federal civil rights laws and do 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.