| Company Overview:|
At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes.
For the 27th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2016, as well as Glassdoor’s annual Employees’ Choice Awards 2017. We’re treating cancer, one patient at a time. Join us and make a difference every day.
Our team is looking for a hands-on clinical data expert who is passionate about creating a comprehensive database for lymphoma patients at MSK by harnessing clinical data across our institution with our health informatics team. By establishing and maintaining a cohort of lymphoma patients in this database, you will support cutting-edge research for the MSK lymphoma service that identifies clinical, epidemiologic, genetic, and treatment factors that impact patient outcomes.
This job requires a sharp analytical mind, a love affair with clinical data, and a passion for tackling a complex medical and technological challenge.
Innovation and independence are key on this team. You will be developing creative ways to explore, organize, and leverage the clinical data. Every day will provide something new and challenging: curating and managing the content of the database and ensuring high-level data quality.
- Work with a team of informaticists, oncologists in the lymphoma service, and software engineers to map data and build and maintain our lymphoma database.
- Identify clinical data elements within the clinical databases and the electronic medical record.
- Curate, validate, and manage clinical data in the database.
- Assist in developing standard operating procedures for data entry and clinically-relevant quality tests.
- Standardize clinical data to common vocabularies and classifications to facilitate collaboration across cancer care institutions.
- Be a clinical data expert on our team and support the retrospective and prospective research efforts of oncologists and researchers in the lymphoma service.
- A critical thinker.
- You aren’t afraid of messy data and excel at structuring and building analytical systems.
- You are passionate about breaking down complex problems and creating innovative, efficient technological solutions to replace labor-intensive medical chart review.
- Willing to be very hands-on with data while learning new software technologies and tools that help us better analyze, manage, and organize standardized content.
- Strong organizational skills.
- Ability to work with cross-functional teams.
- Hands-on experience with REDCap database.
- Have hands-on experience curating and extracting data from databases, analyzing clinical data, and/or integrating clinical terminologies in a healthcare IT environment.
- A Bachelor’s or graduate degree in one of the following: Bioinformatics, Computer Programming, Medical/Healthcare Informatics, Nursing, Medical Doctorate (MD).At least 3 years of relevant (clinical research) experience (2 year with Masters), or as determined by hiring manager.
- Experience in data analysis of at least one Electronic Health Record (EHR) system (e.g.: Epic, MOSAIQ, Varian, Cerner).
- Background in data mining, statistical analysis, natural language processing, or machine learning.
- Experience in at least one development environment (Java, Python, etc.) or statistical programming language (R, SAS, etc.).
- Knowledge of clinical oncology and oncology data.
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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