Data Scientist - Urology

Description

Drive Impactful Healthcare Research Through Data

Science and Analytics

The David Geffen School

of Medicine at UCLA, Department of Urology is seeking a full-time Data

Scientist to support transformative research initiatives that improve healthcare

delivery and population health. This role is ideal for professionals who

combine programming, statistical expertise, and domain knowledge to solve

complex problems and guide data-informed decision-making.

As a key member of our

research team, you'll work with faculty and staff to analyze large healthcare

datasets, build predictive models, and communicate insights that shape clinical

practice and policy.

We're looking for

someone who thrives in a collaborative, fast-paced environment, brings

strategic thinking and technical expertise, and is passionate about using data

to improve lives.

Join us in shaping the

future of healthcare through data science and innovation. Apply today and

become part of a dynamic team at the forefront of population-health research.

Hourly Salary Range : $33.96

• $69.54

Qualifications

Required :

Bachelor's degree in Statistics / Computer

Science / Bioinformatics / Data Specification / Data Science / Computational or

equivalent combination of education and experience.

1-2 years of experience in Statistics / Computer

Science / Bioinformatics / Data Specification / Data Science.

Knowledge of basic and multivariate statistics.

Knowledge of research design.

Competency in statistical software applications (e.g., R, SAS,

STATA).

Ability to conceptualize and construct tables and graphs.

Working knowledge of statistical and / or medical terminology.

Ability to summarize statistical analyses for collaborators.

Knowledge of statistical techniques.

Ability to utilize database management software to run queries and

extract data.

Ability to construct databases.

Ability to produce visual tools and dashboards that highlight the

essential information from a project or study.

Knowledge of basic office software and applications (e.g.,

Microsoft Office Suite, Google, Internet search engines, etc.).

Ability to learn new statistical techniques and to adapt existing

code to customize statistical analysis strategies.

UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person's unique achievements and experiences to further set us apart.