Computational Scientist, Computational Biology and Machine Learning - Hematology & Medical Oncology

Job Description We are looking for a Computational Scientist in Computational Biology and Machine Learning to join our growing translational research program at the Tisch Cancer Institute. Our team studies myeloproliferative neoplasms (MPNs), acute myeloid leukemia (AML), and related myeloid malignancies, combining single-cell multi-omics, clinical data, and artificial intelligence–based approaches to understand disease mechanisms, identify biomarkers, support drug development, and improve patient care. The scientist will work closely with longitudinal patient datasets, integrating genomics, immune and cytokine profiling, treatment responses, and clinical trial outcomes. The scientist will report directly to Dr. Md Babu Mia, lead of the Computational Biology and Machine Learning program within the MPN team. Qualifications Masters degree or equivalent in a domain science; Ph.D in Computational Biology, Bioinformatics, Computer Science, Data Science, or related scientific domain preferred. 3 years, preferably in a scientific/academic computing environment or equivalent experience. Experience in batch HPC cluster environment with a parallel file system. Experience installing and supporting bio and chemistry codes (NAMD, AMBER, Matlab, Gromacs, DESMOND) and laboratory equipment such as sequencers, etc. Experience with MPI, Open MP and numerical libraries. Experience with scientific workflows. Experience with instrumenting and optimizing application codes. Experience in an academic or research community environment. Programming experience in any applicable language. Preferred: Strong experience with next-generation sequencing data analysis, and proficiency in Python and R. Demonstrated track record building machine learning models for biomedical applications; familiarity with LLM frameworks or RAG systems. Experience with cloud or HPC environments, containerization (Docker), and database design. Background in building dashboards, LLM fine-tuning, and working across laboratory, clinical, and computational teams. Responsibilities Computational Biology & Single-Cell Analytics Lead analysis of single-cell genomics datasets and build reproducible pipelines for data integration, clustering, differential expression, and clonal architecture reconstruction. Apply rigorous statistical methods that appropriately account for sample-level replication, longitudinal structure, and multi-modal data. Machine Learning & Predictive Modeling Build machine learning models linking genomic drivers to clinical phenotypes, cytokine profiles, and treatment outcomes using ensemble methods and deep learning. Develop interpretable risk stratification models for disease progression and treatment response, with a focus on clinical relevance. AI & Large Language Model Development Develop retrieval-augmented generation (RAG) systems and AI-assisted workflows that enable natural-language querying of clinical and genomic datasets. Build LLM-powered pipelines for extracting structured information from clinical notes and pathology reports, with an emphasis on transparency and clinical usability. Data Integration & Infrastructure Build unified data models connecting treatments, laboratory results, cytokines, multi-omic biomarkers, and clinical trial endpoints. Maintain HIPAA-compliant databases and ETL pipelines, and develop dashboards and APIs to support cross-institutional collaboration. Scientific Communication Prepare publication‑ready figures and analyses, and contribute to manuscripts, grant applications, and research proposals. Present findings at conferences and collaborate closely with lab scientists and clinicians. About Us 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. 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, 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 deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the 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. Compensation Statement Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $96,461 - $159,101.2 annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. #J-18808-Ljbffr