Associate Computational Scientist - Hematology & Medical Oncology

Key Skills

Bioinformatics, Effective communication skills, Environmental, Genomic data, Machine learning techniques, Risk Analytics, Statistics

Job Description

The Computational Scientist will conduct bioinformatics research to support the development and application of novel tools for the analysis of multi-omics data, including from bulk and single-cell sequencing, spectral flow cytometry, and spatial transcriptomics. The Computational Scientist’s responsibilities will also include reviewing and presenting data for publication and/or presentation. The Computational Scientist will report directly to the Principal Investigator (PI). 

The Tisch Cancer Institute is a vital component of the Icahn School of Medicine at Mount Sinai Hospital and plays a key role in the Mount Sinai Health System, which is one of the largest health care systems in the nation. We are a National Cancer Institute (NCI)-designated center and provide a multidisciplinary approach to cancer treatments and clinical breakthroughs that may one day put an end to cancer. 

Responsibilities

• Conducts a variety of research tasks under the direction of the PI using advanced computational biology, machine learning and statistical techniques, including gene expression analysis, analysis of bulk and single-cell next-generation sequencing, and flow cytometry data. Must be able to read and understand scientific data being applied to conduct the research.
• Collaborates with the PI in the development of new projects and research methodologies. Incumbents are expected to stay apprised of the literature as well as practical skill sets relevant to the field. 
• Nurtures collaborative relationships with fellow scientists within the institution, locally, nationally and internationally. 
• Assists the PI with publications by extracting and compiling moderate to complex research data (i.e. related to genomics, oncology, immunology, etc.); assisting in interpreting the data; reviewing and editing articles used in scientific publication. Must have strong science background. 
• Mentors and trains less experienced research staff and students in research techniques and use of research tools.
• Ensures compliance with safety and regulatory requirements.

Qualifications

• Masters degree or equivalent in a domain science; Ph.D. in a scientific domain preferred.
• Experience in a research environment.
• Previous experience in bioinformatics and computational biology, including analysis of next-generation sequencing data, biomarkers discovery, and machine learning techniques.
• Previous experience in cancer genomics is highly desirable.
• Excellent communication skills in written and oral English are essential.
• The candidate is also expected to be self-motivated, creative, and capable of contributing productively in a team environment.
• Strong analytical skills.

Employer Description

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise contribute to the patient experience and quality of patient care.

 Explore more about this opportunity and how you can help us write a new chapter in our history!