Flex Staff - Windreich Department of Artificial Intelligence & Human Health
Flex Staff - Windreich Department of Artificial Intelligence & Human Health
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Salary Not Disclosed
1 Vacancy
Job Description
The Flex Staff will work in Ensari Lab within the Department of AI and Human Health and primarily work on EHR-based and genomic data analyses using the Mt Sinai data warehouse (MSDW). Our group conducts research in the intersection of biomedical informatics artificial intelligence and womens health. Currently we are using patient-generated data (e.g. wearables sensors electronic health records) and large language models (LLMs) along with genomic variables to investigate female reproductive disorders. The ideal candidate will possess a combination of technical domain-specific and soft skills to analyze complex datasets evaluate data quality and communicate insights clearly to technical and non-technical stakeholders. The candidate will primarily work on a pilot study that is funded by the Womens Biomedical Health Research Institute at Mount Sinai.
Responsibilities
- Extract patient-generated health data from MSDW and genotypic and phenotypic data from BioMe Bank ensuring data integrity privacy and security.
- Communications with research coordinators and staff at MSDW regarding data integrity and acquisition (as needed)
- Collaborate with postdoctoral fellows and students in the lab in the training fine-tuning and evaluation of large language models
- Process clean and organize large datasets making them suitable for analysis and modeling.
- Collaborate with postdoctoral fellows and students in data analysis and implementing new methods for analyzing genomic data and LLM-based research
- Work closely with healthcare professionals to understand the context and implications of data findings
- Conduct literature reviews on the project topic to inform the research methods and contextualize findings
Qualifications
- Depending on the role a minimum of a high school diploma or GED is required as per MS Health System hiring policy. Otherwise Bachelors Masters or Ph.D as applicable.
- Prior experience in a quantitative methodology-based research lab or research environment
- Basic understanding of statistical methods machine learning concepts with a willingness to learn and apply new techniques as needed
- Excellent communications skills ability to work collaboratively in a multi-disciplinary environment strong problem solving
Required Experience:
Staff IC
Employment Type
Part-Time
