Jobs / Joh***

Sr. Data Scientist (Urology)

Joh*** · Baltimore, MD, United States
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Baltimore, MD, United States135,900-238,400 USD/yearlyRemote
Remuneration
135,900-238,400 USD/yearly
Location
Baltimore, MD, United States
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Job summary

Affiliated Office Address Baltimore, MD, United States Requisition ID 121813 Date Created July 13, 2026 Job Family Data Management Job Subfamily Data Management Job Function Research Exempt Status Exempt Shift Type Full Time Schedule M-F; 8:30am - 5:00pm Worksite 04-MD:School of Medicine Campus Work Modality On-site: 90-100% of hours worked on-site We are seeking a Sr.

Benefits

Worklife/.Education and Experience EquivalencyPlease refer to the job description above to see which forms of equivalency areAdditional related experience may substitute for required education on the sameApplicants Completing StudiesApplicants who do not meet the posted

Qualifications

  • Master’s Degree.
  • Seven years of related experience.
  • Preferred
  • PhD.
  • Technical
  • Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.
  • More information can be found here: https://hr.jhu.edu/
  • but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
  • Background Checks
  • The successful candidate(s) for this position will be subject to a pre-employment background check.
  • Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice.
  • A prior criminal history does not automatically preclude candidates from employment at Joh***.

Responsibilities

  • Design data modeling processes to build statistical and simulation models on complex data sets.
  • Provide detail-oriented and organized analytics and models to transform data sets into meaningful insights to inform stakeholder decision making.
  • Research best practices and state-of-the-art methodologies that can be applied in the assigned area.
  • Lead the identification of data sets for modeling which leads to quantitative conclusions.
  • Clean, assess quality and bias, explore, analyze, and visualize data; may delegate
  • as necessary.
  • Document, share, and train others on methods; may delegate
  • Function as a subject matter expert and/or project lead.
  • Share in-depth knowledge as a resource.
  • Train data analysts on the use of software
  • as assigned.

Skills

GermanLeadershipMedical LicenseProject Management

Degrees

AssociateBachelorDegreeDiplomaHighSchoolPhD

Languages

German

Industry

AutomotiveEducationHealthcare

Company size

Smb