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Data Scientist - CardioVascular Institute
Boston, Massachusetts
Organization Facility: Beth Israel Deaconess Medical Center Category: Analytics & Reporting Job ID: JR54348 Date posted: 06/11/2024Job Type: Regular
Time Type: Full time
Work Shift: Day (United States of America)
FLSA Status: Exempt
When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.
The BIDMC Cardiology Division and CardioVascular Institute is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.This Data Scientist position offers the opportunity to work directly with the Senior Investigators in the Division of Cardiology at BIDMC and a cross-institutional collaborative multidisciplinary team of clinicians, scientists, and trainees. The candidate will perform research and development of advanced analytics solutions in healthcare, and have the opportunity to lead machine learning based analyses for projects related to heart disease, and to leverage conventional and advanced approaches to analyze large unique high-dimensional complex databases of human data.
The ideal candidate will have a demonstrated ability to manage relational datasets across different data types, and build upon experience in software development / engineering. The position will build upon concepts including feature engineering, statistics, data visualization, and optimization, to lead machine learning based analyses of complex data involving tabular, free text, and imaging data.
Job Description:
Primary Responsibilities:
Collaborates with business stakeholders to document business problems requiring advanced analytics; develop, evaluate and implement machine learning models to improve business operations. (essential)
Collaborates with Software Engineering, Data Engineering and clinical team to structure and normalize data systems and other data enrichment sources. (essential)
Works on feature engineering, statistical analysis, develop novel ML techniques, understanding classifier performance, and ensuring fit-for-purpose; creates machine learning algorithms to optimize and deliver results, perform hyper-parameter tuning, and evaluated model performance. (essential)
Works with cognitive computing platforms to improve predictions about patient outcomes, focuses on configuring, operationalizing, and reporting on vendor developed models. (essential)
Visualizes and interprets data and model results (essential)
Uses machine learning frameworks in both development, testing and production environments. (essential)
Participates on all parts of the machine learning project lifecycle from dataset curation to model deployment. (essential)
Performs all other duties as needed or directed to meet the needs of the department and or customer. (essential)
Achieves and maintains required certifications (if applicable). (essential)
Required Qualifications:
1. Bachelor's degree in computer science, Data Science, or a related engineering discipline required; Master's degree preferred.
2. 1-3 years related professional experience required in in an engineering role, including industry experience in software engineering and data science.
3. Understanding of Data Structures and Algorithms. Experience designing and developing scalable distributed systems with deep understanding of architectural and design patterns, object-oriented design, modern program languages. Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores.
4. Experience with working on large data sets, especially with Spark, Python and Java. Experience with cloud computing platforms, such as AWS or GCP. Experience with Kubernetes.
5. Knowledge of parallelism and concurrency to leverage modern hardware for serving ML models.
6. Working knowledge of Unix/Linux systems. Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL. Familiarity with libraries such as pandas, TensorFlow, scikit-learn, Kares. Advanced technical computer skills as required for technical support specific to functional area and related systems.
Preferred Qualifications:
1. Knowledge and experience using basic and intermediate project management tools and techniques.
2. Programming skills with fluency in at least one of Python, Java, Scala, C/C++.
3. Familiar with industry standard software engineering practices and systems knowledge.
4. A proven track record of producing quality deliverables on time, taking ownership and accountability of assignments and demonstrating a strong work ethic.
Competencies:
Decision Making: Ability to make decisions that are guided by precedents, policies and objectives. Regularly makes decisions and recommendations on issues affecting a department or functional area.
Problem Solving: Ability to address problems that are highly varied, complex and often non-recurring, requiring staff input, innovative, creative, and Lean diagnostic techniques to resolve issues.
Independence of Action: Ability to set goals and determines how to accomplish defined results with some guidelines. Manager/Director provides broad guidance and overall direction.
Written Communications: Ability to summarize and communicate in English moderately complex information in varied written formats to internal and external customers.
Oral Communications: Ability to comprehend and communicate complex verbal information in English to medical center staff, patients, families and external customers.
Knowledge: Ability to demonstrate in-depth knowledge of concepts, practices and policies with the ability to use them in complex varied situations.
Teamwork: Ability to work collaboratively in small teams to improve the operations of immediate work group by offering ideas, identifying issues, and respecting team members.
Customer Service: Ability to provide a high level of customer service and staff training to meet customer service standards and expectations for the assigned unit(s). Resolves service issues in the assigned unit(s) in a timely and respectful manner.
Social/Environmental Requirements:
Work requires close attention to task for work to be accurately completed. Intermittent breaks during the workday do not compromise the work.
Work requires constant response to changing circumstances and using new information to adjust approach and to quickly respond to new needs.
No substantial exposure to adverse environmental conditions
Health Care Status: NHCW: No patient contact.- Health Care Worker Status may vary by department.
Sensory Requirements:
Close work (paperwork, visual examination), Color vision/perception, Visual monotony, Visual clarity <3 feet, Conversation, Telephone.
Physical Requirements:
Sedentary work: Exerting up to 10 pounds of force occasionally in carrying, lifting, pushing, pulling objects. Sitting most of the time, with walking and standing required only occasionally. This job requires constant sitting, Keyboard use.
As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) and COVID-19 as a condition of employment. Learn more about this requirement.
More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.
Equal Opportunity Employer/Veterans/Disabled
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If you’re looking for a career where you can make a difference and explore your potential, Beth Israel Lahey Health is the place you belong. Our system includes a network of hospitals, physician practices, outpatient centers, and other healthcare facilities and we offer a broad range of careers in direct patient care, environmental services, registration, finance and many other fields. We are focused on providing compassionate and personalized healthcare with a strong reputation for clinical excellence and research and offer diverse opportunities for career growth and development. Conveniently, we have many locations in communities across Eastern Massachusetts and Southern New Hampshire.
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