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Pavago

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How much do biomedical data analyst remote jobs pay per year?

As of Aug 11, 2026, the average yearly pay for biomedical data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Biomedical Data Analyst (Remote), you need a solid background in biostatistics, data science, and life sciences, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (like Python or R), statistical software, and data visualization tools, as well as experience with databases and cloud-based collaboration platforms, is typically required. Strong analytical thinking, attention to detail, and effective virtual communication skills are vital for collaborating with multidisciplinary teams remotely. These skills ensure accurate analysis, meaningful insights, and successful project outcomes in a distributed work environment.

What does a biomedical data analyst do in a remote position?

A Biomedical Data Analyst working remotely is responsible for collecting, processing, and interpreting complex biological and healthcare data. Their primary tasks include analyzing datasets from clinical trials, genomic studies, or electronic health records to uncover trends and support medical research. They use statistical tools and programming languages, often collaborating virtually with researchers and clinicians. Their insights help improve patient outcomes, develop new treatments, and advance scientific understanding. Remote roles allow analysts to contribute to projects from anywhere while utilizing secure technology to handle sensitive health data.

What are some common challenges faced by remote biomedical data analysts, and how can they be addressed?

Remote Biomedical Data Analysts often face challenges such as ensuring secure access to sensitive health data, maintaining effective communication with cross-functional teams, and managing time zone differences. To address these, it's important to use secure VPNs and follow data privacy protocols, utilize collaborative tools like Slack or Teams for regular updates, and establish clear working hours and expectations. Proactively scheduling check-ins and participating in virtual team meetings can help maintain strong collaboration and project alignment.
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Biomedical Data Analyst Remote jobs near you
Infographic showing various Biomedical Data Analyst Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Business Cum Data Analyst - Remote

Lorven Technologies

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Business Cum Data Analyst
Location: Canada - Remote
Job description:
  1. Results-driven Business cum Data Analyst with strong expertise in translating business needs into data-driven insights and reporting solutions.
  2. Adept at requirement gathering, stakeholder collaboration, and facilitating workshops to define scope and priorities.
  3. Skilled in data analysis, visualization, and standardizing data models to ensure consistency and usability.
  4. Proven ability to bridge business and technical teams to deliver actionable insights and scalable data solutions.

Key Responsibilities:
  1. Collaborates with client leadership to identify business opportunities, pinpoint gaps and needs, develop value propositions, gather requirements, and create data-driven reporting solutions.
  2. Conducts workshops for requirement elicitation and facilitates solution discussions with clients, including scope definition, alternative designs, feasibility, and prioritizing the backlog.
  3. Perform source to target data mapping across policy, claims, billing, or underwriting like systems.
  4. Validate transformations and data quality during data migration or integration. Validate transformations and data quality during data migration or integration
  5. Develops an understanding of existing data architecture and future roadmap.
  6. Applies advanced problem-solving skills to create visualizations that clearly articulate findings and provide actionable recommendations; experienced in dual shore engagements.
  7. Defines and standardizes data domains and business rules to ensure consistency and reusability.
  8. Performs gap analysis to identify discrepancies in data structures, definitions, and business logic.
  9. Collaborates closely with data architects and engineers to translate business needs into easy to consume deliverables using data engineering and business intelligence tools.
  10. Creates documentation, including business process flows and data dictionaries.
  11. Serves as a liaison between business units and data/reporting teams
  12. Collaborate with stakeholders to gather, document, and analyze business requirements..
  13. Translate business needs into functional specifications and data requirements.
  14. Demonstrates proficiency and hands-on experience with SQL, pysparks , reports, and visualizations using tools like Power BI, Tableau, or similar to analyze data.
  15. Work with data engineers to define data models and ensure data readiness for analysis.
  16. Create clear and concise documentation including BRDs, FRDs, data dictionaries, and process flows.
  17. Present findings and recommendations to stakeholders in a compelling and actionable manner

Key Skillsets & Experience:
  1. 8+ years of relevant experience in data projects - new development and BAU
  2. Data Tools/ Languages: SQL, Azure , AWS, Power BI, Snowflake, Pyspark
  3. Insurance Domain knowledge is preferred
  4. Excellent communication & presentation skills and should be able to communicate with client effectively
  5. Experience in managing SQL codes and collaborating with customer on data model evolution
  6. Good knowledge of Relational Data Base Management and SQL
  7. Strong SQL and Python
  8. Experience working in Agile or hybrid project environments
  9. Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  10. Strong and in-depth understanding of Enterprise data stores and data engineering Fundamentals

Thanks and Have a nice day,
Anantha Krishnan
101 Morgan Lane | Suite 209 | Plainsboro | NJ 08536
Work: 609-799-4202 X 206 Direct : 6097853249
| Web: www.lorventech.com
Inc 5000 Fastest Growing Companies in America
TechServe Alliance Excellence Award
NJ Fast 50 Growing Company
Smart CEO Future 50 Awards
Consulting Magazine Fast 50 Growing Company in America
USPAACC Fast 100 Asian American companies Excellence Award
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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