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Remote Biomedical Data Scientist Jobs in Maynard, MA

Massgeneralbrigham

Research Data Analyst

Belmont, MA · On-site +1

$41K - $60K/yr

... science, statistics, genetics/genomics, or a related quantitative field required. Can this role ... Academic research, internships, or coursework involving statistical analysis or biomedical data may ...

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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Remote Biomedical Data Scientist information

See Maynard, MA salary details

$39.6K

$129.8K

$207.7K

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

As of Sep 9, 2026, the average yearly pay for remote biomedical data scientist in Maynard, MA is $129,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a remote biomedical data scientist?

A Remote Biomedical Data Scientist is a professional who analyzes complex biological and medical data from a remote location, often working from home or another offsite setting. They use statistical methods, machine learning, and computational tools to interpret data related to healthcare, genomics, clinical trials, or medical imaging. Their work helps improve patient outcomes, advance scientific research, and inform healthcare decisions. Remote roles typically require strong communication and collaboration skills to work effectively with multidisciplinary teams online.

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

To thrive as a Remote Biomedical Data Scientist, you need expertise in statistics, machine learning, data analysis, and a solid background in biology or biomedical sciences, often supported by an advanced degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of data management systems are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are essential soft skills in this role. These competencies enable accurate interpretation of complex biomedical data and facilitate impactful research or product development in remote, interdisciplinary environments.

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

Remote biomedical data scientists often encounter challenges such as collaborating effectively with cross-functional teams, managing large and sensitive datasets, and ensuring clear communication with researchers and clinicians. To address these, it's important to utilize secure data-sharing platforms, maintain regular virtual meetings, and document analyses thoroughly. Additionally, leveraging collaborative tools and staying updated on data privacy regulations can help ensure smooth workflows and compliance.
Remote Biomedical Data Scientist jobs near you

Research Data Analyst

Belmont, MA • On-site, Remote

Massgeneralbrigham
See more jobs at Massgeneralbrighamexternal

$41K - $60K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing.

  • Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes.

  • Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.

Mass General Brigham rating

8.0

Company rating: 8.0 out of 10

Based on 348 frontline employees who took The Breakroom Quiz

90th of 898 rated healthcare providers

Job description

Site: The McLean Hospital Corporation


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

Summary
The Research Data Analyst will work under the direction of the Principal Investigator to support collaborative research integrating genomic and multi-omic data with clinical and electronic health record (EHR) data. The analyst will contribute to projects investigating the genetic, epigenetic, and downstream molecular basis of psychiatric and related complex traits.
Does this position require Patient Care?
No
Essential Functions
-Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing.
-Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes.
-Analyze high-dimensional transcriptomic and DNA methylation datasets.
-Train genetically regulated gene expression (GReX) models and conduct transcriptome-wide association studies (TWAS).
-Perform differential expression and association analyses using statistical frameworks such as limma and related R/Bioconductor tools.
-Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.
-Develop and maintain reproducible analysis pipelines in R and/or Python.
-Conduct data quality control, visualization, statistical modeling, and interpretation of results.
-Organize, document, and maintain research datasets and analysis outputs to facilitate reproducibility and collaboration.
-Work closely with investigators on study design, analysis, interpretation, and preparation of results for presentations and manuscripts.


Qualifications

Education
Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field required.
Can this role accept experience in lieu of a degree?
Yes

Experience
Experience attained through education or 0-1 year of relevant research or data-analysis experience required. Academic research, internships, or coursework involving statistical analysis or biomedical data may satisfy this requirement.


Knowledge, Skills and Abilities

  • Proficiency in R and statistical data analysis; experience with Python is desirable.
  • Experience working with large, complex, or high-dimensional biomedical datasets.
  • Familiarity with genomic, transcriptomic, DNA methylation, or other molecular data.
  • Familiarity with PRS, GWAS, TWAS/GReX, limma, or related genomic analysis methods is desirable.
  • Familiarity with clinical or EHR data, including phenotype curation and harmonization, is desirable.
  • Understanding of statistical modeling, data visualization, and data quality-control methods.
  • Strong organizational skills and the ability to maintain well-documented and reproducible analyses.
  • Ability to work collaboratively with investigators, scientists, clinicians, and interdisciplinary research teams.
  • Ability to identify analytical or data-related roadblocks and seek appropriate guidance.
  • Strong computer skills and careful attention to data accuracy and organization.


Additional Job Details (if applicable)


Remote Type

Hybrid


Work Location

115 Mill Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


Pay Range

$41,932.80 - $60,340.80/Annual


Grade

5


At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

1600 The McLean Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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