Senior Data Scientist (NLP) at Memorial Sloan Kettering Cancer Center
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 30th 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 2019, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2019. We’re treating cancer, one patient at a time. Join us and make a difference every day.
Are you looking to make an impact? Do you want to use your skills to make the world's best cancer center even better? We are looking for a Senior Data Scientist to join our team!
We support MSK's doctors, nurses, researchers, and other staff as they work to treat and cure cancer. If you have deep technical skills coupled with a passion for making them useful in solving real problems, then this could be an ideal role for you! We're looking for a thoughtful, out-of-the-box developer who is no stranger to leveraging advanced NLP techniques for achieving operational and business needs.
What sets this opportunity apart? Our team is a part of Strategy and Innovation, a department at the forefront of MSK’s advancement, hosting novel and ambitious developments and projects.We have access to a sea of data: clinical, operational, financial, strategic, both structured and free text, all at our finger tips. You’ll be given the opportunity to mentor junior developers and to learn about the various business aspect of healthcare. Along with enjoying professional development, trainings, and a healthy work-life balance.This role will remain remote until 2021. Our office is based in Midtown east, NYC.
- Developing and prototyping ML/Deep Learning models for in Python with a high focus on NLP applications.
- Directing models and applications to achieve business and institutional values.
- Applying common NLP algorithms: Word embedding, transfer learning, Hugging Face's libraries.
- Examples: Classifying radiology reports.
- 8 years of industry experience: doing ML programming with time series prediction, classification, decision support, etc., in a business setting. Of those, 3+ years of NLP work with DL.
- Strong Python and SQL knowledge
- Ability to work directly with business stakeholders, derive requirements, design a roadmap, advocate for your approach, and execute.
- Bachelor’s degree or equivalent experience
Competitive compensation packages | Sick Time |Generous Vacation+ 12 holidays to recharge & refuel| Internal Career Mobility & Performance Consulting | Medical, Dental, Vision, FSA & Dependent Care|403b Retirement Savings Plan Match|Tuition Reimbursement |Parental Leave & Adoption Assistance |Commuter Spending Account |Fitness Discounts &Wellness Program | Resource Networks| Life Insurance & Disability | Remote Flexibility
We believe in communication, openness, and thinking beyond your 8-hour day @ MSK. It’s important to us that you have a sense of impact, community, and work/life balance to be and feel your best.
Our Hiring Process
You review the posting, agree it sounds like a great fit & apply -> If your profile aligns, Talent Acquisition contacts you to complete a tech assessment and schedule a phone interview -> after speaking with the Talent Acquisition Specialist, you will connect with the Hiring Manager by video -> if your experience is a fit, you will move forward to a technical video interview -> post-interview feedback->ideally an offer! ->reference check & onboarding-> orientation & official welcome to MSK.
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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