Mount Sinai Medical Center
Assistant Scientist (Computational Biology) – Mzoughi lab – Oncoplasticity
Mount Sinai Medical Center, Madison, New York, United States
Overview
The Mzoughi Lab focuses on understanding the epigenetic mechanisms driving phenotypic heterogeneity and plasticity in cancer. Using cutting-edge multiomics technologies and lineage tracing, we explore how tumor cells evolve and adapt during disease progression and under therapeutic pressures. We are seeking a highly motivated
Post-Doctoral Researcher/Scientist
with a
strong computational biology background
to join our team. The successful candidate will apply and develop computational tools to analyze large-scale omics datasets, including bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag, and will contribute to studies elucidating tumor plasticity mechanisms. Experience in lineage tracing and single-cell data analysis is strongly preferred. Responsibilities
Analyze bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag datasets. Develop and optimize pipelines for integrating and interpreting multiomics data. Collaborate with both wet-lab and other dry-lab team members to generate hypotheses and refine experimental designs. Analyze lineage tracing datasets to uncover dynamic cellular transitions and clonal evolution. Present findings in lab meetings, conferences, and manuscripts. Qualifications
PhD in Biological Sciences or related field Two years experience Preferred Qualifications
Proficiency in programming languages such as R and Python, with demonstrated experience in analyzing high-dimensional biological datasets. Experience with computational tools and packages for multiomics data analysis (e.g., Seurat, Monocle, edgeR, DESeq2, ArchR). Familiarity with lineage tracing analysis methods and software is highly desirable. Strong skills in statistical modeling, data visualization, and interpretation of biological findings. Familiarity with high-performance computing environments and version control systems (e.g., Git). Experience in analyzing single-cell epigenomics and transcriptomics datasets (e.g., single-cell RNA-seq and ATAC-seq). Knowledge of machine learning techniques for biological data analysis. Strong publication record in peer-reviewed journals. Employer Description
Strength through Unity and Inclusion The 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. The Health System advances health by discovering and applying new scientific learning, developing safer treatments, educating the next generation of medical leaders, and supporting local communities by delivering high-quality care. The 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 as a top hospital network across multiple specialties. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate 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 the communities we serve feel respected and supported. Compensation
The 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 - $109,199.95 annually. Actual salaries depend on experience, education, and operational need. The salary range listed does not include bonuses, differential pay, or other forms of compensation or benefits.
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The Mzoughi Lab focuses on understanding the epigenetic mechanisms driving phenotypic heterogeneity and plasticity in cancer. Using cutting-edge multiomics technologies and lineage tracing, we explore how tumor cells evolve and adapt during disease progression and under therapeutic pressures. We are seeking a highly motivated
Post-Doctoral Researcher/Scientist
with a
strong computational biology background
to join our team. The successful candidate will apply and develop computational tools to analyze large-scale omics datasets, including bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag, and will contribute to studies elucidating tumor plasticity mechanisms. Experience in lineage tracing and single-cell data analysis is strongly preferred. Responsibilities
Analyze bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag datasets. Develop and optimize pipelines for integrating and interpreting multiomics data. Collaborate with both wet-lab and other dry-lab team members to generate hypotheses and refine experimental designs. Analyze lineage tracing datasets to uncover dynamic cellular transitions and clonal evolution. Present findings in lab meetings, conferences, and manuscripts. Qualifications
PhD in Biological Sciences or related field Two years experience Preferred Qualifications
Proficiency in programming languages such as R and Python, with demonstrated experience in analyzing high-dimensional biological datasets. Experience with computational tools and packages for multiomics data analysis (e.g., Seurat, Monocle, edgeR, DESeq2, ArchR). Familiarity with lineage tracing analysis methods and software is highly desirable. Strong skills in statistical modeling, data visualization, and interpretation of biological findings. Familiarity with high-performance computing environments and version control systems (e.g., Git). Experience in analyzing single-cell epigenomics and transcriptomics datasets (e.g., single-cell RNA-seq and ATAC-seq). Knowledge of machine learning techniques for biological data analysis. Strong publication record in peer-reviewed journals. Employer Description
Strength through Unity and Inclusion The 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. The Health System advances health by discovering and applying new scientific learning, developing safer treatments, educating the next generation of medical leaders, and supporting local communities by delivering high-quality care. The 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 as a top hospital network across multiple specialties. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate 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 the communities we serve feel respected and supported. Compensation
The 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 - $109,199.95 annually. Actual salaries depend on experience, education, and operational need. The salary range listed does not include bonuses, differential pay, or other forms of compensation or benefits.
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