Senior Scientist - Dr Sealfon's Lab (Computational Genomics & Large-Scale Molecular Data Analys[...]

DescriptionWe are seeking a highly motivated Staff Scientist to lead and support the analysis of large-scale molecular datasets in a dynamic, collaborative research environment. This role focuses on cutting-edge functional genomics, with an emphasis on single-cell and multi-omic technologies.The Staff Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills. Experience in machine learning and AI approaches is highly desirable.ResponsibilitiesLead analysis of single-cell RNA-seq and multiome datasets (joint RNA/ATAC profiling)Perform integrative analysis across modalities, including bulk RNA-seq, ATAC-seq, and DNA methylation datasetsDevelop processing pipelines for novel single cell multiomic technologiesApply statistical modeling and machine learning methods to identify cellular states, regulatory programs, and epigenetic signaturesDesign and implement integrative multi-omic analyses across cohorts and experimental systemsPresent findings internally and contribute to publications and grant applicationsStay current with emerging single-cell and AI-driven genomic analysis methodologiesQualificationsPh.D in sciences or related fieldMinimum five years of experience with scientific investigationMust have demonstrated outstanding achievement in a field of researchMust have contributed to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or disciplinePrior experience successfully securing external grant funding is highly desirablePreferred SkillsPhD in Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field (or equivalent experience)Strong experience analyzing bulk and single-cell RNA-seq and epigenomic dataProficiency in R, including common single-cell analysis frameworksExperience working with large-scale genomic datasets and high-performance computing environmentsStrong statistical background and data visualization skillsExperience analyzing DNA methylation data (e.g., array-based or sequencing-based approaches)Experience analyzing long-read RNA sequencing datasetsDemonstrated use of machine learning/AI methods for genomic data integration or predictionFamiliarity with cloud-based workflows and reproducible pipeline developmentTrack record of publications in peer-reviewed journalsEmployer DescriptionStrength through Unity and InclusionThe Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.About the Mount Sinai Health System:Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees, eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people by taking on complex health care challenges—discovering and applying new scientific learning, developing safer treatments, educating the next generation of medical leaders, and supporting local communities. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report, with high rankings across multiple specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in NIH funding and in the 99th percentile in research dollars per investigator. Newsweek’s rankings place Mount Sinai Hospital highly in New York and globally.Equal Opportunity EmployerThe Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.CompensationThe Mount Sinai Health System provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,661 - $125,008.22 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentives, differential pay or other forms of compensation or benefits. #J-18808-Ljbffr