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Remote Lab Data Entry Jobs in New York (NOW HIRING)

Junction

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

With more and more data coming from wearables, lab tests, and patient-doctor interactions, we're ... Fully remote (EST timezone only) Why we need you Junction sits in the flow of high-value ...

Deckers

GenAI/AI Incubation Lab, Lead

New York, NY · On-site +1

United States (Remote) Interested applicants must reside in one of the following approved states ... Ensure all Incubation Lab engagements adhere to internal governance standards, including data ...

Jj

Manager, Data Science - Oncology

Raritan, NJ · On-site +1

Join us in developing treatments, finding cures, and pioneering the path from lab to life while ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Jj

Senior Data Acquisition Expert

Raritan, NJ · On-site +1

Remote work options may be considered on a case-by-case basis and if approved by the Company. About ... Join us in developing treatments, finding cures, and pioneering the path from lab to life while ...

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Remote Lab Data Entry information

What are the key skills and qualifications needed to thrive as a Remote Lab Data Entry specialist, and why are they important?

To thrive as a Remote Lab Data Entry specialist, you need strong attention to detail, accuracy, and proficiency in data entry, often supported by a high school diploma or equivalent. Familiarity with laboratory information management systems (LIMS), spreadsheets, and data processing software is typically required. Excellent organizational skills, time management, and clear communication help individuals excel in remote and deadline-driven environments. These competencies are vital to ensure the integrity of lab data, support efficient operations, and maintain regulatory compliance.

What are some common challenges faced in a Remote Lab Data Entry role, and how can they be effectively managed?

Remote Lab Data Entry professionals often face challenges such as maintaining accuracy while handling large volumes of sensitive data, adapting to different lab information systems, and ensuring data security in a remote environment. To manage these effectively, it's important to establish a quiet, organized workspace, regularly review data for errors, and stay updated on privacy protocols. Collaboration with lab technicians and IT support teams can also help quickly resolve discrepancies and technical issues, fostering a smooth workflow.

What are Remote Lab Data Entry jobs?

Remote Lab Data Entry jobs involve inputting, updating, and managing laboratory data from a remote location, typically using specialized software or databases. Employees in this role may be responsible for entering test results, patient information, and other relevant data accurately and efficiently. Attention to detail and confidentiality are essential, as the information handled is often sensitive. These jobs allow workers to perform their duties from home or another off-site location, making them ideal for those seeking flexible work arrangements.

What is the difference between Remote Lab Data Entry vs Remote Medical Data Entry?

AspectRemote Lab Data EntryRemote Medical Data Entry
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; familiarity with medical terminology and electronic health records
Work EnvironmentHome-based, computer-focusedHome-based, computer-focused, often with specialized medical software
Industry UsageLaboratories, research facilitiesHealthcare providers, hospitals, clinics
Common Search IntentData entry jobs in labsMedical data entry jobs

Remote Lab Data Entry involves inputting laboratory test results and research data, typically in scientific or research settings. Remote Medical Data Entry focuses on managing patient records and medical information. While both roles require attention to detail and computer skills, medical data entry often requires familiarity with medical terminology and health record systems. Understanding these differences helps job seekers find the right position aligned with their skills and industry interests.

What are the most commonly searched types of Lab Data Entry jobs in New York? The most popular types of Lab Data Entry jobs in New York are:
What are popular job titles related to Remote Lab Data Entry jobs in New York? For Remote Lab Data Entry jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Lab Data Entry jobs in New York look for? The top searched job categories for Remote Lab Data Entry jobs in New York are:
What cities in New York are hiring for Remote Lab Data Entry jobs? Cities in New York with the most Remote Lab Data Entry job openings:
Remote Lab Data Entry jobs near you
Infographic showing various Remote Lab Data Entry job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

Junction

New York, NY • On-site, Remote

$180K - $220K/yr

Full-time

Posted 25 days ago

Job description

Healthcare is in crisis and the people behind the results deserve better. With more and more data coming from wearables, lab tests, and patient-doctor interactions, we're entering an era where data is abundant.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease.
If you're passionate about how technology can supercharge healthcare, you'll fit right in.
Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we're working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable. We're already connecting millions and scaling fast.
Short on time? TL;DR
  • You: Can define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.
  • Ownership: You'll own Junction's highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.
  • Scope: This is not a pure IC modeling role and not a reporting role. You'll set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
  • Salary: $180,000 - $220,000 + equity
  • Location: Fully remote (EST timezone only)

Why we need you
Junction sits in the flow of high-value diagnostics and clinical data. As the company grows, our advantage moves beyond just having data to having the ability to turn it into reliable intelligence improving product decisions, customer outcomes, and the performance of the business.
Some of that work exists today, but it is not yet owned as a coherent function. Models get built. Analyses get done. Experiments answer local questions. But we need someone who can define the broader scientific and analytical system: what we should measure, what methods we trust, where modeling creates real leverage, and how that work translates into products and decisions that hold up outside a demo.
We're hiring our first Data Scientist to take ownership of, and establish that standard.
This role will lead Junction's most important modeling, experimentation, and evaluation work. You'll partner closely with data, product engineering and leadership teams to drive the analytical roadmap by which Junction can leverage differentiated value from data.
What you'll be doing day to day
  • Own the research and modeling work underlying Junction's highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features
  • Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend
  • Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy
  • Build the analytical foundation behind customer-facing features - from model development through to validation and performance tracking
  • Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows
  • Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review
  • Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

Requirements
  • Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions
  • Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation
  • Strong Python and/or R skills, with experience working on large, messy real-world datasets
  • Experience building predictive or decision-support models in production or near-production environments
  • Experience partnering closely with engineering to move work from analysis or prototype into deployed systems
  • Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed
  • Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers
  • Comfort operating in a startup environment with ambiguity, limited structure, and high ownership

Nice to have
  • Experience designing, executing, and publishing research studies
  • Experience with HIPAA, PHI, or other regulatory clinical frameworks
  • Deep familiarity with modern data tooling and production workflows across warehouses, orchestration, and transformation layers
  • Experience developing, deploying, and designing evaluation frameworks for LLM or AI-powered features in customer-facing products
  • Expertise directly working with healthcare, diagnostics, lab data, wearable data, and other clinical data
  • Experience applying causal inference methods, such as diff-in-diff, propensity scoring, or instrumental variables in practice

What this role isn't
  • Not an analytics role focused on dashboards, reporting, or one-off analysis
  • Not an ML platform role - you won't own infrastructure or tooling
  • Not a good fit if you mainly want to experiment with models or AI ideas without being accountable for how they perform in production
  • Not a good fit if you struggle with ambiguity. Knowing what to work on is part of the job

How you'll be compensated
  • Salary: $180,000 - $220,000 + equity
  • Your salary is dependent on your location and experience level
  • Generous early stage options (extended exercise post 2 years employment)
  • Regular in-person offsites, last were in Tenerife and Miami
  • Monthly learning budget of $300 for personal development and productivity
  • Flexible, remote-first working - including $1K for home office equipment
  • Monthly budget of $150 to use towards a coworking space
  • 25 days off a year + national holidays
  • Healthcare coverage depending on location

Oh and before we forget:
  • Backend Stack: Python (FastAPI), Go, PostgreSQL, Google Cloud Platform (Cloud Run, GKE, Cloud BigTable, etc), Temporal Cloud
  • Frontend Stack: TypeScript, Next.js
  • API docs are here: https://docs.junction.com/
  • Company handbook is here with engineering values + principles

Important details before applying:
  • We only hire folks physically based in GMT and EST timezones - more information here
  • We do not sponsor visas right now given our stage

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