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In lieu of educational requirements, additional years of relevant experience may be considered, as per university guidelines.
The Department of Orthopedic Surgery is committed to equity, diversity, and inclusion.All qualified applicants are encouraged to apply and will be considered without regard to race, ethnicity, religion, sex, gender, sexual orientation, age, disability, or veteran status. The University offers comprehensive benefits to eligible employees. Aside from our great health plans, we have a generous match to our 403B retirement savings plan, vacation, sick and personal days. We have Paid Winter Recess (Christmas to New Year's Day). Finally, we offer generous educational benefits for eligible employees, their dependents and spouse/domestic partner.
Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and development of new data science methods. Collaborates with principal investigators or study sponsors on high-level study design, data collection, data set analysis, protocol development, statistical analysis and inference, and report writing and presentations for internal and external audience. Leads development of complex analytical plans, creates systems for data monitoring, provides high-level statistical support, utilizes statistical software, creates research study reports, and contributes to manuscripts, grants, and scientific presentations. Adheres to all protocols.
Essential Functionsa)Curating and organizing biological data, including omics data, related to musculoskeletal system.
b)Curating and organizing clinical data.
c)Establishing musculoskeletal databases.
d)Analyzing and modeling biological and clinical data related to musculoskeletal disorders
Physical EffortBe able to sit for prolonged periods of time.
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.
Assignment Category: Full-time regularPI239094974
Full Time
$110k-138k (estimate)
04/21/2024
05/08/2024
pitt.edu
MANVILLE, RI
15,000 - 50,000
1787
Private
TONY BORGES
$1B - $3B
Consumer Services
University of Pittsburgh is an educational institution that offers undergraduate and postgraduate degree programs for students.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.