2

Full Time Data Coding Jobs (NOW HIRING)

Eisenberg-Guyot are looking to hire a full-time data analyst who can support cohort studies on ... Document analytic methods, including by writing reproducible code * Lead and/or participate in ...

... code with data analytic tools (SAS, R, SPSS, STATA, etc) is required. Up to 1 year of full-time, data-related internship experience may be considered against this requirement. * Minimum of one (1) ...

Eisenberg-Guyot are looking to hire a full-time data analyst who can support cohort studies on ... Document analytic methods, including by writing reproducible code * Lead and/or participate in ...

Data Analytics Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

... full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ... Meet with technical stakeholders to perform code reviews and elicit feedback * Assist in developing ...

Required : • You have 4+ years of full-time data platform engineering experience. • You have ... We'd like to automate coding. To advance that mission, we're building Cursor. Founded in , the ...

New

Review medical record documentation and ensure accurate diagnosis and procedure code assignment to patient records for data retrieval, analysis, and claim processing. * Works with physicians, non ...

... full-time data entry experience in claims processing, accounting, analysis and adjudication of Medical and/or Behavioral environment. - Experience with ICD10, CPT, HCPCS, and Inpatient coding and ...

... full-time data entry experience in claims processing, accounting, analysis and adjudication of Medical and/or Behavioral environment. - Experience with ICD-10, CPT, Healthcare Common Procedure Coding ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

next page

Showing results 1-20

Full Time Data Coding information

What are the key skills and qualifications needed to thrive as a Full Time Data Coder, and why are they important?

To thrive as a Full Time Data Coder, you need strong attention to detail, analytical skills, and a background in data entry or information management, often supported by relevant certifications or coursework. Familiarity with data management software, coding systems (such as ICD-10 for healthcare), and spreadsheet tools like Microsoft Excel is typically required. Accuracy, time management, and effective communication are vital soft skills that help ensure data integrity and collaboration with team members. These skills are crucial for maintaining precise and organized data, which supports informed decision-making and operational efficiency.

What are some common challenges faced by professionals in Full Time Data Coding roles, and how can they be managed effectively?

Professionals in Full Time Data Coding roles often encounter challenges such as maintaining high accuracy while processing large volumes of data, dealing with complex or inconsistent data sets, and meeting tight deadlines. These can be managed by developing strong attention to detail, utilizing data validation tools, and collaborating closely with team members to resolve ambiguities. Regular communication with supervisors and continuous training on new coding standards can also help ensure quality and efficiency in daily tasks.

What is a Full Time Data Coding job?

A Full Time Data Coding job typically involves converting raw data into a structured format by assigning codes or categories to various pieces of information. This work is essential in fields like research, healthcare, marketing, and data analysis, where large amounts of unstructured data need to be organized for analysis or reporting. Data coders use specialized software or databases to input, review, and ensure the accuracy of coded data. Working full time means this is a standard 40-hour work week role, often with benefits and regular hours. Attention to detail, analytical skills, and proficiency with data management tools are important for success in this position.

What is the difference between Full Time Data Coding vs Full Time Data Entry?

AspectFull Time Data CodingFull Time Data Entry
Required CredentialsBasic computer skills, sometimes coding certificationsBasic computer skills, data entry experience
Work EnvironmentOffice setting, often with specialized softwareOffice or remote, using data entry platforms
Industry UsageHealthcare, finance, tech companiesRetail, administrative, general business
Search & Comparison IntentUnderstanding coding roles, technical skillsData input tasks, administrative roles

Full Time Data Coding involves more technical skills, often requiring familiarity with coding standards and specialized software, whereas Full Time Data Entry focuses on inputting data accurately with minimal technical requirements. Both roles are essential in data management but differ in complexity and skill set.

What cities are hiring for Full Time Data Coding jobs? Cities with the most Full Time Data Coding job openings:
What are the most commonly searched types of Data Coding jobs? The most popular types of Data Coding jobs are:
Data Analyst

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

16th of 864 rated healthcare providers


Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.
The Division of Epidemiology in the Department of Population Health seeks a Data Analyst to work in two of the divisions research areas. Dr. Bozack and Dr. Eisenberg-Guyot are looking to hire a full-time data analyst who can support cohort studies on molecular mechanisms linking environmental exposures to health (Dr. Bozacks projects) and cohort studies on social-class inequities in health (Dr. Eisenberg-Guyots projects). Dr. Bozacks National Institute of Environmental Health Science-funded projects focus on epigenetic modifications and biomarkers, metal exposures, and nutrition, while Dr. Eisenberg-Guyots National Institute on Aging-funded projects aim to identify the socioeconomic causes of growing social-class inequities in mental illness and mortality over the last several decades in the US. Responsibilities will focus on data analysis but may also include literature reviews, scientific writing, and project support.

Job Responsibilities:

  • Contribute to the development of analytic plans in consultation with investigators; recommend solutions to analytical challenges.
  • Data wrangling and analysis, including data cleaning, calculation of descriptive statistics, and statistical modeling
  • Prepare results of analyses for review; participate in discussion and interpretation of findings
  • Create text, tables, and figures for presentations and publications 
  • Document analytic methods, including by writing reproducible code
  • Lead and/or participate in manuscript and grant writing
  • Maintain regular communication with PI and other team members to facilitate collaboration

Additional Position Specific Responsibilities:
l

Minimum Qualifications:
To qualify you must have a Masters degree in epidemiology, data science, economics, public health, or a related quantitative field
Proficiency cleaning, managing, and analyzing data in R
Experience using common epidemiological methods (e.g., association analyses via linear and logistic regression)
Experience with data visualization in R (ggplot)
Strong organizational skills, including documentation and sharing of code
Proficient in Microsoft Word and reference management software
Detail-oriented and able to prioritize and alter priorities as circumstances require
Able to work both independently and collaboratively
Knowledge of and experience applying project management principles and concepts.

Preferred Qualifications:
Experience using (or ability to learn how to use) g-methods (e.g., inverse probability weighting, g-computation) in standard epidemiologic settings
Experience analyzing survival, panel, and complex survey data
Experience with IRB and grant submissions

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.60 - $83,475.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here


Required Skills
Required Experience

What NYU Langone Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom