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Contractual R Programming Language Jobs in California

TSW Core LLC

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Proficiency in programming language such as R, Python and Spark; relationship database languages, such as SQL and Hive; as well as data visualization tools such as Tableau and Databricks Preferred:

Atria Group LLC

Need Data Scientist

San Diego, CA

SAS, R, SQL, S-Plus, etc.) * 1-3+ years' experience with a general-purpose programming language (e.g. C, Java, Python, etc.) * Familiarity with basic principles of distributed computing and/or ...

Centraprise

Data Analyst

Santa Clara, CA · On-site

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Descript

Lead Data Scientist, Product

San Francisco, CA · On-site +1

$200K - $250K/yr

Strong SQL skills and proficient in at least one programming language such as Python or R. * Excellent communication and collaboration skills. * Curiosity, savviness to navigate in a dynamic ...

DivIHN Integration Inc

Test Engineer 1

San Diego, CA · On-site

Proficiency in at least one scripting or high-level programming language (e.g., Python, MATLAB, C, VBA). * Familiarity with statistical analysis, DOE techniques (e.g., Gauge R&R, t-test, ANOVA), and ...

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All JobsContractual R Programming Language JobsContractual R Programming Language Jobs in California

Contractual R Programming Language information

What is the difference between Contractual R Programming Language vs Data Analyst?

AspectContractual R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentProject-based, freelance or contractual rolesFull-time or part-time in organizations
Industry usageResearch, finance, healthcare, academiaBusiness, marketing, finance, healthcare

Contractual R Programming Language specialists focus on applying R for specific projects on a contractual basis, often working independently or with consulting firms. Data Analysts typically work within organizations, using R among other tools to analyze data and generate reports. While both roles require knowledge of R, Contractual R Programmers emphasize project-based work, whereas Data Analysts have broader responsibilities within a company.

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Research Data Scientist - Urology, Hung Lab

Cedars Sinai

West Hollywood, CA • On-site

Full-time

Posted 2 days ago

New

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,061 rated hospitals

Job description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
 

Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
 

Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
 

Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
 

Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
 

Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
 

Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
 

Tests and validates code to ensure robustness of data applications with version control through GitHub.
 

Performs all other duties as assigned.

Education:

Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required. 
 

Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:

2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
 

2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
 

2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
 

No experience required Experience in biomedical machine learning is preferred

What Cedars-Sinai employees say

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Benefits

Hours and flexibility

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