Bioinformatician II-Center for Disease Neurogenomics-Psychiatry

Key Skills

Data Analytics, Data science techniques, Machine learning techniques, Python Programming, R Programming, SAS, SQL, Tableau

Job Description

In this role, you will have the opportunity to apply and develop state-of-the-art computational tools to mitigate research disparities in genome-wide association studies for misdiagnosed and underdiagnosed neuropsychiatric traits using electronic health record data. This position offers a chance to develop or enhance your skills in machine learning, statistical genetics and big data analytics. We provide a stimulating and flexible research environment that promotes career advancement, offering the freedom to pursue your interests, fostering interdisciplinary collaboration, and providing an excellent salary. This position provides flexibility for hybrid working arrangements.

Responsibilities

• Applying machine learning methodologies to identify patterns in large and complex datasets of genomic and electronic health record data.
• Automating data processing pipelines for performing genome-wide association studies
• Implementing novel statistical strategies and algorithms for mitigating disparities in genomic research.
• Maintaining code repositories to promote reproducible research.
• Presenting results in scientific conferences and academic journals, leveraging data visualization techniques to communicate findings.

Qualifications

• S. or Ph.D. in a quantitative field (e.g., statistical genetics, computational genomics, biostatistics, systems biology, mathematics, physics, computer science, etc.), Ph.D. preferred.
• Expertise in data science, statistical analyses and machine learning techniques.
• Prior experience analyzing large biological or electronic health record datasets is strongly preferred.
• Advanced knowledge of genetics and/or statistical analysis software and online resources.
• Extensive knowledge of programming in Python and/or R. Strongly qualified applicants will have experience in using SQL and maintaining code repositories using git.
• Strong interest in working on data-intensive biomedical research problems understanding neuropsychiatric traits using genomic and electronic health record data.
• Experience in Whole Exome/Genome analyses is beneficial but not required.
• Experience in high performance and/or cloud computing is preferred.

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.

At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.

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