Data Analyst Role at Columbia University Medical Center: Content Writer Opportunities in New York, USA

Data Analyst

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  Columbia University Medical Center
  

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary: Temporary
• End Date if Temporary:
• Hours Per Week: 35
• Standard Work Schedule:
• Building:
• Salary Range: $65,300-$75,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

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Position Summary

The Department of Biostatistics is seeking a motivated and detail-oriented Data Analyst to provide analytical and technical support for several health research projects focusing on the health impacts of environmental factors and extreme weather. Many of these projects are based in Ethiopia, Kenya and Uganda under the umbrella of the NIH funded Global, Environmental and Occupational Health (GEOHealth) Hub for Eastern Africa. Studies focus on investigating the effects of ambient air pollution on respiratory, cardiovascular and cognitive outcomes of cohorts of school children and their mothers. Additional studies focus on the impact of extreme heat stress on the productivity and health of agricultural workers. All studies aim towards promoting air pollution and extreme heat management regulation. The Data Analyst will work closely with investigators from the Columbia University Mailman School of Public Health and partners from the Colorado School of Public Health, Colorado State University and University of Maryland. The data analyst will also work closely with data teams at Addis Ababa University (Ethiopia), University of Nairobi (Kenya) and Makerere University (Uganda).

*This is a one (1) year temporary position from the date of hire with the possibility for extension. The selected candidate must live in the New York tri-state area. Subject to business needs, we may support flexible and hybrid work arrangements. Options will be discussed during the interview process.

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Responsibilities

The Data Analyst will be responsible for a variety of tasks, including, but not limited to,

• providing data science support to international partners with primary data collected locally and regional energy use datasets;
• managing high frequency sensor-based and questionnaire-based data sets on pollution concentrations and exposure;
• transforming sensor data and raster data into usable air pollution exposure statistics;
• exploring research questions using study data and other public use and bespoke datasets;
• and developing impactful data visualizations of research findings for both scientific and general audiences.

The successful candidate will have strong quantitative and coding skills, a creative and solutions-oriented mindset, and the ability to effectively communicate scientific results to stakeholders, scientists, and policymakers.

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Minimum Qualifications

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Preferred Qualifications

• Undergraduate degree in biostatistics, data science, statistics, computer science, environmental science and management, or a related field at time of appointment with 2-3 years of experience providing analytical research support to projects related to economic evaluation, data exploration and visualization.
• Excellent quantitative and statistical skills including experience collecting, processing, and/or analyzing survey data.
• Coding skills and proficiency with statistical programming tools (R preferred, but Matlab, Stata and/or Python are viable too), and experience working with GitHub or other version control systems.
• Experience with data management and the creation of data archives.
• Data exploration and visualization skills.
• Familiarity with environmental raster data (e.g., gridded pollution and climate data).
• Experience with machine learning (e.g., gradient boost models for imputing missing air pollution sensor data)
• Ability to synthesize and communicate scientific results to a variety of partners and stakeholders.
• Excellent creative problem solving and troubleshooting skills.
• Excellent verbal and written communication skills.
• Ability to take initiative, self-manage, and work independently as well as collaboratively as part of a multidisciplinary team.
• Exceptional attention to detail and strong organizational and time management skills.
• Excellent computer skills including fluency in Microsoft Office and Google tools.
• Master’s degree in similar fields with 1 year of related experience will also suffice.

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Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

Describe a time you had to explain a complex data analysis to a non-technical stakeholder. What approach did you take, and what was the outcome?

Understanding the Synergy: Data & Narrative in Healthcare

Columbia University Medical Center (CUMC), a leading academic medical institution in New York city, increasingly recognizes the power of combining robust data analysis with compelling storytelling. This creates unique opportunities for professionals skilled in both areas – specifically, Data Analysts and Content Writers. The intersection isn’t simply about reporting data; it’s about translating complex medical findings into accessible, engaging content for diverse audiences. This article explores the data analyst landscape at CUMC and the burgeoning need for content writers to amplify their work. We’ll cover required skills, potential career paths, and how to position yourself for success in this dynamic surroundings. Keywords: Columbia University Medical Center, CUMC, Data analyst, Content Writer, Healthcare Jobs, New york Jobs, Medical Writing, Data Visualization, Healthcare Interaction.

The Data Analyst Role at CUMC: A Deep Dive

CUMC employs Data Analysts across various departments,including clinical research,hospital administration,and public health initiatives. These roles are critical for:

* Clinical Trial Analysis: Analyzing data from clinical trials to assess treatment efficacy and patient safety.This often involves statistical modeling using tools like SAS, R, and Python.

* Healthcare Operations Advancement: Identifying trends in patient flow, resource utilization, and cost management to optimize hospital operations.

* Population Health Management: Analyzing large datasets to understand health disparities and develop targeted interventions.

* Predictive Modeling: Building models to predict patient risk, forecast demand for services, and improve patient outcomes.

* Data Reporting & Visualization: Creating dashboards and reports to communicate key findings to stakeholders. Data visualization is a crucial skill.

Key Skills for CUMC Data Analyst Positions:

* Statistical Analysis: Proficiency in statistical methods and software (SAS, SPSS, R, Python).

* Data Mining & Wrangling: Ability to extract, clean, and transform data from various sources.

* Database management: Experience with SQL and relational databases.

* Data Visualization: Expertise in creating compelling visualizations using tools like Tableau, Power BI, or ggplot2.

* Healthcare Knowlege: Understanding of medical terminology, healthcare data standards (e.g., ICD-10, CPT), and HIPAA regulations.

* Communication Skills: The ability to explain complex data insights to non-technical audiences – a key bridge to content writing opportunities.

Content Writer Opportunities: Bringing Data to Life

While CUMC’s Data Analysts generate valuable insights, those insights need to be communicated effectively. This is where Content Writers specializing in healthcare come in. The demand for skilled medical writers and content creators is growing rapidly.

Types of Content Created at CUMC:

* Patient Education Materials: Translating complex medical facts into easy-to-understand brochures, website content, and videos.

* Research Summaries: Creating concise summaries of research findings for internal and external audiences.

* Grant Proposals: Developing compelling narratives to secure funding for research projects.

* Website Content: Maintaining and updating the CUMC website with accurate and engaging information.

* Social Media Content: Creating social media posts to promote CUMC’s research, services, and events.

* Annual Reports: Contributing to the narrative sections of annual reports, highlighting data-driven achievements.

* Internal Communications: Crafting memos, newsletters, and presentations to keep staff informed.

Skills Needed for Healthcare Content Writing at CUMC:

* Medical Writing Expertise: A strong understanding of medical terminology and scientific writing principles.

* Plain Language communication: ability to translate complex information into clear, concise, and accessible language.

* SEO Knowledge: Understanding of search engine optimization (SEO) principles to ensure content is discoverable online. Keywords: Medical SEO, Healthcare Content Marketing.

* Content Management Systems (CMS): Experience with CMS platforms like WordPress or Drupal.

* Storytelling Ability: The ability to craft compelling narratives that engage and inform audiences.

* Collaboration Skills: Working closely with Data Analysts and other healthcare professionals.

The Ideal Candidate: A Hybrid Skillset

The most sought-after candidates possess a blend of data analysis and content writing skills. While not always required, a background in both disciplines is a significant advantage.

How Data Analysis Skills benefit Content Writers:

* Data-driven Storytelling: Ability to use data to support claims and create more persuasive content.

* Understanding of Research: Ability to critically evaluate research findings and accurately summarize them.

* Targeted Content Creation: Ability to identify audience needs and tailor content accordingly.

How Content Writing Skills Benefit data Analysts:

* Effective Communication: Ability to present data insights in a clear and compelling manner.

* Report Writing: Ability to write clear and concise reports that communicate key findings.

* Presentation Skills: Ability to deliver presentations that effectively convey data insights.

Navigating the Request Process at CUMC

CUMC utilizes an