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Afternoon Data Analyst R Programming Jobs in Maine

Amgen

Biostatistical Prograrmming Manager

Portland, ME · On-site

... R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as Python preferred Hands-on ...

Td

AML Business Data Manager

Portland, ME · On-site

$96K - $155K/yr

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

Td

AML Business Data Manager

Lewiston, ME · On-site

$96K - $155K/yr

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

State of Maine

Senior Programmer Analyst

Augusta, ME · On-site

$71K - $101K/yr

You enjoy exploring data, designing and implementing complex data structures and processes, and ... A.R.E. values in all they do. At MaineIT we: * Practice Customer-focus , ensuring that our ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Maine

Senior Programmer Analyst

Augusta, ME · On-site

$71K - $101K/yr

You enjoy exploring data, designing and implementing complex data structures and processes, and ... A.R.E. values in all they do. At MaineIT we: * Practice Customer-focus , ensuring that our ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics ...

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Afternoon Data Analyst R Programming information

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Maine? For Afternoon Data Analyst R Programming jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Maine look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Maine are:
Afternoon Data Analyst R Programming jobs near you

Biostatistical Prograrmming Manager

Amgen

Portland, ME • On-site

Full-time

Posted 10 days ago

Job description

Career CategoryClinicalJob Description

Biostatistical Programming Manager

What you will do

Let's do this. Let's change the world. In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables.

This role is part of the centrally managed Quality and Quick Response (QQR) Programming team and is responsible for supporting urgent and high-priority programming needs across development programs. The manager will serve as a technical programming expert who can rapidly respond to internal and external requests, support special projects, provide global quality oversight, and contribute directly to programming deliverables when needed.

This role will primarily support programs within the Obesity Therapeutic Area and requires close collaboration with cross-functional teams to support fast-paced development activities and evolving business priorities.

Responsibilities

Provide rapid response statistical programming support for urgent internal and external requests

Serve as a lead programmer for studies and projects, such as Data Access Plan (DAP) activities, unblinding efforts, and special projects

Deliver hands-on programming support for SDTM, ADaM, Tables, Listings, and Figures (TFLs), and other study and regulatory submission deliverables as needed

Oversee the execution and quality of projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP)

Ensure that FSP and in-house programming deliverables meet quality, compliance, timeline, and productivity expectations

Mitigate at-risk projects by providing technical expertise, programming support, and operational guidance

Contribute to training material development and delivery to internal teams and FSP partners

Provide guidance and technical consultancy to study programming team on Amgen processes, tools, and utilities

Lead/contribute to GSP continuous improvement iniatives and support cross-functional initiatives including inspection readiness, process improvement, innovation, and training activities

Contribute to programming team performance metrics development, data collection, and reporting

Review project documentation such as specifications, issue logs, deliverable status for accuracy and completeness

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a manager with these qualifications.

Basic Qualifications:

Doctorate degree OR

Master's degree and 2 years of statistical programming experience OR

Bachelor's degree and 4 years of statistical programming experience OR

Associate's degree and 8 years of statistical programming experience OR

High school diploma / GED and 10 years of statistical programming experience

Preferred Qualifications:

Masters in Computer Science, Statistics, Mathematics, Computer Science, Life Sciences or another relevant scientific subject

6+ years of statistical programming in biopharmaceutical industry

Regulatory submission experience

Strong hands-on SAS programming expertise including SAS Base, Macro, SQL, SAS/Graph and Stat packages

Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred

Familiarity with additional programming languages and tools such as Python preferred

Hands-on experience developing and validating SDTM, ADaM datasets, and TFLs

Thorough understanding of clinical trial processes from data collection through analysis and reporting

Ability to lead programmers in successful completion of all study programming activities and provide guidance on technical and process questions

Strong understanding of data standards and compliance checks including Pinnacle 21

Experience providing quality oversight for outsourced and internal programming deliverables

Ability to troubleshoot complex technical issues and turnaround at-risk projects

Experience working in a globally dispersed team on Phase 1-4 clinical trials

Experience supporting clinical development programs within the Obesity Therapeutic Area preferred

Understanding of obesity clinical endpoints, data standards, and regulatory considerations is highly desirable

Excellent oral and written English communication skills; strong collaboration, negotiation, and organizational skills

.

Salary Range

129,056.35USD -174,605.65USD

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