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Remote Lab Data Analyst Jobs in Paterson, NJ (NOW HIRING)

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$120K - $160K/yr

Act as a healthcare data SME on a rapidly growing Data & Analytics team. * Design, develop, and ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

YipitData

Head of Data, Private Investor

New York, NY · Remote

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

New

Pull Skil

Data Governance Analyst

Jersey City, NJ · Remote

Business Analyst with Data Quality / Governance Position Type: 6 Months Contract Location ... REMOTE Reports To: Project Manager Manager Notes: Need someone with background in Data Governance ...

Pull Skil

Data Governance Analyst

Jersey City, NJ · On-site +1

REMOTE Reports To: Project Manager Manager Notes: Need someone with background in Data Governance ... the analysis of business process models and data flow diagrams • Interact with business and ...

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All JobsLab Data Analyst JobsRemote Lab Data Analyst JobsRemote Lab Data Analyst Jobs in Paterson, NJ

Remote Lab Data Analyst information

See Paterson, NJ salary details

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How much do remote lab data analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote lab data analyst in Paterson, NJ is $27.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $33.27 per hour, depending on experience, location, and employer.

How does a remote lab data analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What are the key skills and qualifications needed to thrive as a remote lab data analyst?

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What is a remote lab data analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.

What are popular job titles related to Remote Lab Data Analyst jobs in Paterson, NJ?

For Remote Lab Data Analyst jobs in Paterson, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Lab Data Analyst jobs in Paterson, NJ look for?

The top searched job categories for Remote Lab Data Analyst jobs in Paterson, NJ are:

What cities near Paterson, NJ are hiring for Remote Lab Data Analyst jobs?

Cities near Paterson, NJ with the most Remote Lab Data Analyst job openings:

Remote Lab Data Analyst jobs near you

Senior Data Analyst (NYC Hybrid)

Empassion

New York, NY • Remote

$120K - $160K/yr

Full-time

Re-posted 28 days ago

Job description

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.
What success looks like
  • Collaborate with cross-functional teams to understand business requirements and report on data from various sources, ensuring data quality, consistency, and accuracy.
  • Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.)  healthcare metrics from claims and product data.
  • Help to validate regular claims and eligibility data refreshes.
  • Act as a healthcare data SME on a rapidly growing Data & Analytics team.
  • Design, develop, and maintain algorithms and data models, using SQL and dbt.
  • Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making to stakeholders, using Looker.
  • Create documentation and training materials for technical and non-technical users of our data products
What you will bring
  • 2+ years of experience in healthcare analytics, analytics engineering, or medical economics, having delivered actionable insights from big data analytics environments to Clinical, Operations, or Finance teams
  • Deep familiarity with healthcare claims and eligibility data
  • Strong SQL skills
  • Excellent communication abilities around highly technical data topics and the ability to work with a diverse set of technical and non-technical audiences (peers, engineers, operations, external customers)
  • Proficiency with BI/reporting tools (Looker, Tableau, etc.)
  • Excitement about working in a fast-moving startup environment
  • A bias for action and enthusiasm for fast iteration
 
Nice to have:
  • Proficiency with dbt and templated SQL
  • Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.)
  • Experience with statistical analysis software (Python/pandas, R, etc.)
The compensation range represents total earnings, including both base salary and target bonus. In addition to competitive base salary and bonus opportunities, we offer equity grants for qualifying roles, comprehensive medical, dental, and vision coverage, and a 401(k) retirement plan to support your long-term financial well-being.
 
Empassions' philosophy is to provide competitive compensation that aligns with our mission, business, and employee needs while remaining financially responsible and applying it fairly, equitably, consistently, and transparently. We are a tech-enabled remote healthcare company. We value the impact and significance of all team functions and roles equally, regardless of where you live. 
We plan to update our approach, data, and practices to ensure that we align with the market at year-end 2025. 
 
This strategy ensures that our employees are paid fairly in the market for their skills, experience, and performance. We use current data to draft compensation numbers and will update the data yearly. Performance is a highly valued and meaningful driver of employee compensation within Empassion's market position. Our performance-enhanced compensation philosophy rewards employees who consistently meet and exceed performance expectations through bonus incentives at all levels.
 
We pay through consistent and compliant practices.
We have team-oriented goals and recognize performance against those goals through compensation.
Everyone is an owner and is expected to add value and contribute; when Empassion wins, we all win.
We are designed to be fair and equitable and conduct a pay equity audit annually to ensure fair and equitable compensation level by level, job family by job family.
Ready to Make a Difference?
 
If you’re driven by data, healthcare, and impact, apply and let’s talk!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.