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Job Location: Philadelphia, PA
Location: LOC_HOME-Home/Remote Office Location
Req ID: 216114
Shift: Days
Employment Status: Regular – Full Time
About Us
We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve.
We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve.
If you are ready to challenge yourself, be inspired and grow – no matter what your role – you just may be the kind of breakthrough maker who will thrive at CHOP.
CHOP is proud to share that we are ranked No. 1 on Forbes’ 2022 list of America’s Best Large Employers!
Job Summary
The Data Science and Biostatistics Unit (DSBU) within the Department of Biomedical and Health Informatics (DBHi) collaborates with researchers across CHOP’s Research Institute to provide analysis and consultation on methods development, study design, and data analysis. This interdisciplinary team consists of biostatisticians, epidemiologists, data scientists, data analysts and other methodologists. Staff have expertise managing and using data sources and registries associated with electronic health records, clinical trials, administrative, claims, and surveys. DSBU staff have experience across various machine learning and statistical methodologies, including supervised & unsupervised learning, propensity score matching, multivariate modeling, latent variable mixture models, and geographic information systems.
In order to support DSBU’s rapid growth in meeting the analysis needs of CHOP’s research teams, we are recruiting a Data Scientist III. This individual will provide consistently high-quality deliverables within reasonable timeframes and will collaboratively work with principal investigators from a variety of biomedical domains across the Research Institute to achieve meaningful results and academic output. Project teams that this individual will regularly work with include those within the Cardiac Center, Oncology, and Anesthesiology and Critical Care. The Data Scientist III will lead selected methodologies, perform data manipulation, management, and modeling.
Job Responsibilities
- Serve as the technical lead for emerging health data science projects, such as mobile health, and participate in the development of the mobile health methodologies
- Develop scalable and innovative approaches to processing and analyzing data from mobile health devices
- Develop and apply methods for big data to reveal patterns, trends, and associations in health care data
- Implement computational algorithms and experiments for test and evaluation; interprets data to assess algorithm performance.
- Lead the formulation of analysis plans that meet stringent criteria for reproducibility and measures of significance.
- Lead the development of high-quality code implementing models and algorithms as application programming interfaces or other service-oriented software implementations.
- Communicate and educate a varied audience of clinicians, scientists, analysts, and programmers on research methods, implementation, and results.
- Serve as the scientific lead in collaborative development with the applications research group to translate models and algorithms into engineered production applications.
- Mentor junior staff, student workers, co-ops, and research trainees (fellows, post-docs).
- Contribute to manuscript writing for results publication, authors abstracts, and presents at professional conferences.
- Manage large, complex projects and take responsibility for major components of larger research initiatives; assign work to junior staff, identifying, tracking, and reporting on tasks and deliverables against project timelines.
Required Education and Experience
Required Education: Masters Degree
Required Experience: At least five (5) years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects
Preferred Education, Experience & Cert/Lic
Preferred Education:
- Doctorate in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field
- Certificate in Analytics, Statistics, or Data Science
Preferred Experience:
- At least six (6) or more years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects
Additional Technical Requirements
- Experience and demonstrated ability acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required.
- Experience formulating or contributing to the formulation of analysis plans and selection of appropriate methods.
- Experience using existing machine learning and analytic tools such as ScikitLearn, Weka, R, and Mathematica in either applied educational or professional projects is required.
- Experience writing code in either applied educational or professional projects using one or more of the following languages: Python, Scala, Java is required.
- Familiarity with relational databases (e.g. Postgres, MySQL) strongly preferred.
- Familiarity RESTful web services application programming interfaces preferred.
- Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.
- Applied statistics or mathematical modeling experience preferred.
- Natural language processing experience particularly in the biological and medical domains preferred.
- Experience using distributed computing technologies (e.g. Akka, MapReduce, Cuda) preferred.
- Familiarity with graph, key value, and document data stores (e.g. Neo4j, Hadoop, MongoDB) preferred.
- Experience creating informative visualizations for complex, high dimensional data preferred.
- Experience with probabilistic graphical models, time series predictive models, Markov models preferred.
To carry out its mission, it is of critical importance for the Children’s Hospital of Philadelphia (CHOP) to keep our patients, families and workforce safe and healthy and to support the health of our global community. In keeping with this, CHOP has mandated all workforce members on site at any CHOP location for any portion of their time be vaccinated for COVID-19 as a condition of employment. This mandate also applies to workforce members performing work for CHOP at non-CHOP locations. Additionally, all workforce members based in or regularly scheduled to work at any New Jersey location are mandated to be both vaccinated and boosted for COVID-19, with booster timing consistent with applicable guidelines. The CHOP COVID-19 vaccine mandate is in alignment with applicable local, state and federal mandates. CHOP also requires all workforce members who work in patient care buildings or who provide patient care to receive an annual influenza vaccine. Employees may request exemption consideration for CHOP vaccine requirements for valid religious and medical reasons. Please note start dates may be delayed until candidates are fully immunized or valid exemption requests are reviewed. In addition, candidates other than those in positions with regularly scheduled hours in New Jersey, must attest to not using tobacco products.
EEO / VEVRAA Federal Contractor
EEO / VEVRAA Federal Contractor
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