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Remote Biotech Data Analyst Jobs in Halethorpe, MD

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

We are seeking a highly motivated, detail-oriented, and certified Proposal Writer Analyst to join our team in a remote, full-time capacity. The ideal candidate will bridge capture data analytics and ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Proposal Writer Analyst

Baltimore, MD · Remote

$60K - $75K/yr

We are seeking a highly motivated, detail-oriented, and certified Proposal Writer Analyst to join our team in a remote, full-time capacity. The ideal candidate will bridge capture data analytics and ...

Showing results 21-40

Remote Biotech Data Analyst information

See Halethorpe, MD salary details

$33.2K

$80.7K

$132.8K

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

As of Sep 8, 2026, the average yearly pay for remote biotech data analyst in Halethorpe, MD is $80,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are popular job titles related to Remote Biotech Data Analyst jobs in Halethorpe, MD?

For Remote Biotech Data Analyst jobs in Halethorpe, MD, the most frequently searched job titles are:

What job categories do people searching Remote Biotech Data Analyst jobs in Halethorpe, MD look for?

The top searched job categories for Remote Biotech Data Analyst jobs in Halethorpe, MD are:

What cities near Halethorpe, MD are hiring for Remote Biotech Data Analyst jobs?

Cities near Halethorpe, MD with the most Remote Biotech Data Analyst job openings:

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • Remote

Full-time

Posted 18 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 631 rated colleges and universities


Job description

We are seeking a Data Analytics Manager who will create and execute approaches for using quantitative data and methods to understand and review complex issues and business needs of the assigned area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative aspects of the innovation process. Specific Duties & Responsibilities Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.

Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data. Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc

Invent and quickly iterate novel solutions to challenging data-related problems. Create and manage project plans for the quantitative data components of all teamwork. Develop and manage partnerships and collaborations with data providers and stakeholders.

Champion the use of quantitative data to drive decisions. Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders. Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.

Develop metrics and measurement systems to measure the impact of the team's projects and initiatives. Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing. Support analogous research and literature reviews.

Serve as a key participant in each step of the area's data methodology, providing a quantitative perspective to all projects. Serve as a lead for the data analytics team. Perform other related duties as requested.

This position is to support research on reproductive health, maternal and infant outcomes, and health policy. This position is ideal for candidates with strong quantitative and epidemiologic skills who are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical analyses, drafting manuscripts for publication, and providing broader research support as needed.

The Data Analytics Manager will need to, clean, manage, and analyze large, complex datasets using statistical software (e.g., Stata, R). Contribute to study design, data interpretation, and statistical modeling. Draft and edit manuscripts for submission to peer-reviewed journals

Collaborate with research teams across institutions and disciplines. Provide mentorship to graduate students and research assistants, as needed. Minimal travel may be expected for conferences or collaborative meetings.

Minimum Qualifications Bachelor's Degree. Seven years of related experience. Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent permitted by the JHU equivalency formula.

PhD in epidemiology, demography, or related field. Five or more year's experience supporting or leading research on related topics. Content area expertise in reproductive and perinatal epidemiology.

Extensive experience working with claims data and vital statistics data. Strong publication record. Technical Skills and Expected Level of Proficiency Data Architecture -Advanced Database Querying - Advanced Data Strategy and Innovation - Advanced Data Visualization - Advanced Project Management - Advanced Program Evaluation - Advanced Stakeholder Engagement - Advanced Statistics - Advanced The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Data Analytics Manager Role/Level/Range: ATP/04/PE Starting Salary Range: $41.28 - $72.25 HRLY ($30,544.80 targeted; Commensurate w/exp.) Employee group: Casual / On Call Schedule: Monday - Friday 8am - 5pm FLSA Status: Exempt Location: Remote Department name: SOM OB GYN Bay Gynecology Obstetrics Bay Personnel area: School of Medicine


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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876