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Asynchronous Data Entry Jobs in Philadelphia, PA

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Asynchronous Data Entry information

See Philadelphia, PA salary details

$11

$19

$28

How much do asynchronous data entry jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for asynchronous data entry in Philadelphia, PA is $19.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Asynchronous Data Entry specialist, and why are they important?

To thrive as an Asynchronous Data Entry specialist, you need strong attention to detail, fast and accurate typing skills, and basic computer literacy, usually supported by a high school diploma or equivalent. Familiarity with spreadsheet software (like Microsoft Excel or Google Sheets), database management systems, and data entry platforms is typically required. Excellent time management, self-motivation, and organizational skills help you stand out when working independently and meeting deadlines. These skills ensure data accuracy, efficiency, and reliability in remote or flexible work environments.

What is the difference between Asynchronous Data Entry vs Synchronous Data Entry?

AspectAsynchronous Data EntrySynchronous Data Entry
Work EnvironmentRemote or flexible timing, individual workReal-time, often in team settings or on-site
Required SkillsAttention to detail, time management, basic data skillsFast data processing, communication skills, accuracy
Common UsageData input tasks with flexible deadlinesReal-time data entry, live updates

Asynchronous Data Entry involves flexible, individual work with deadlines that do not require real-time interaction, making it suitable for remote tasks. Synchronous Data Entry requires real-time input, often in team environments, emphasizing speed and immediate accuracy. Understanding these differences helps employers and job seekers choose the right role based on work style and environment.

How does asynchronous data entry differ from traditional data entry in terms of workflow and collaboration?

Asynchronous data entry allows team members to input and update data on their own schedules rather than working simultaneously or in real-time. This flexibility can be especially helpful for remote or distributed teams, as it enables contributors in different time zones to participate efficiently. However, it also requires clear communication, robust version control, and reliable documentation to prevent data inconsistencies and ensure smooth handoffs between team members. Regular check-ins and updates are often used to keep all contributors aligned and maintain data quality.

What are asynchronous data entry jobs?

Asynchronous data entry jobs involve entering, updating, or managing data without the need for real-time interaction or immediate response. These roles typically allow workers to complete tasks on their own schedule, rather than during specific hours, since the information processed does not require instant input. Asynchronous data entry is common in remote or flexible work environments, where employees input information into databases, spreadsheets, or specialized software at their convenience. This setup can be ideal for those seeking flexible hours or working across different time zones.
What are popular job titles related to Asynchronous Data Entry jobs in Philadelphia, PA? For Asynchronous Data Entry jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Asynchronous Data Entry jobs in Philadelphia, PA look for? The top searched job categories for Asynchronous Data Entry jobs in Philadelphia, PA are:
Asynchronous Data Entry jobs near you
Infographic showing various Asynchronous Data Entry job openings in Philadelphia, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $40,873 per year, or $19.7 per hour.
Software Engineer (Platform)

Software Engineer (Platform)

Oncora Medical

Philadelphia, PA • On-site, Remote

$80/hr

Full-time

Medical, Dental, Retirement, PTO

Posted 15 days ago

Job description

Company Description
About us:
Oncora is an oncology software and data company dedicated to helping physicians and scientists collect and use real-world data to improve outcomes for cancer patients. Our machine learning algorithms, which are deployed in active clinical environments, accurately predict oncology outcomes such as unplanned hospitalization, survival, and recurrence. Our software products include: a clinical workflow and data entry system for oncology clinical care, a data warehouse that leverages connections to other healthcare software systems such as EMRs, PACS, to amass real-world, regulatory-grade oncology data, a machine learning platform to train and validate predictive models of key oncology events, a machine learning API to power external software tools, and a virtual clinical trial platform that allows pharma and device companies to leverage automated medical image analysis to advance new technologies in the fight to cure cancer. We work with world-leading cancer centers such as MD Anderson and Northwell Health, global device companies such as Varian Medical Systems, and innovative biopharma companies. Our team is mission-driven to its core.
Job Description
About the role:
We are looking for an experienced engineer to join our mission driven team to help develop our data platform that integrates and transforms multiple imperfect and messy data sources into clean, usable data so that we can learn from every cancer patient.
As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals.
We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward.
What you will be doing:
  • Developing pipelines to integrate new data elements into our normalized oncology schema
  • Overseeing and monitoring our existing data infrastructure for stability, performance and accuracy
  • Improving our data warehousing and reporting capabilities to support real-time analysis of tens of thousands of patients representing millions of data points
  • Integrating standard and proprietary ontologies into our data enrichment processes
  • Enhancing our de-identification capabilities to support machine learning and clinical research use-cases
  • Building reusable integrations with major clinical systems (e.g. EMR/EHRs)
  • Deploying updates frequently to immediately improve the state of cancer care
  • Providing constructive feedback to your team members through code and architecture reviews

Qualifications
About you:
  • A solid base of software engineering experience, typically 1-5 years, with at least part of that time in data-focused roles or projects
  • Fluency with a functional or imperative language (we use Python)
  • Experience working with relational and non-relational databases (we use Postgres, MongoDB, Redis, and ElasticSearch)
  • Tendency to seek simple, elegant solutions to complex problems
  • Ability to analyze and optimize existing solutions
  • A focus on writing understandable, testable, and maintainable code
  • Experience working with asynchronous and distributed systems (we use RabbitMQ)
  • Familiarity with modern containerized environments (we use Docker & Kubernetes)

Bonuses:
  • Experience with healthcare data standards and integration is a huge plus (HL7, FHIR, DICOM, etc.)
  • Experience designing data models for analytical and transactional workloads

Additional Information
Compensation, Benefits, and Perks:
  • Salary: $80-120k plus equity compensation
  • 401k, health and dental insurance, flexible vacation policy, paid parental leave
  • eBooks, online courses, workstation setup
  • Events: happy hours, team dinners, conversations with oncologists (will return soon!)
  • You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients

What to expect in the hiring process:
  • Introductory phone call with the Head of Operations (30 minutes zoom call)
  • Phone interview with VP of Engineering (60 min zoom call)
  • Virtual onsite, including a pair programming session, engineering team meet, and co-founder meet (90-120 minute zoom call)
  • Final stages, potential follow-up interviews, and offer discussions

Apply