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Biomedical Data Scientist Jobs (NOW HIRING)

Master's degree in data science, biostatistics, computer science, biomedical engineering or a related field and a minimum of 3 years' experience in medical technology or a related industry; or a ...

Master's degree in data science, biostatistics, computer science, biomedical engineering or a related field and a minimum of 3 years' experience in medical technology or a related industry; or a ...

... biomedical data, grants management systems, or federal government support environments preferred. LOCATION: · Bethesda, MD (On Site) The N4 Solutions Equal Employment Opportunity (EEO) Policy is to ...

... biomedical data, grants management systems, or federal government support environments preferred. LOCATION: • Bethesda, MD (On Site) The N4 Solutions Equal Employment Opportunity (EEO) Policy is to ...

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

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Biomedical Data Scientist information

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$37.5K

$122.7K

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How much do biomedical data scientist jobs pay per year?

As of Jul 10, 2026, the average yearly pay for biomedical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What Does a Biomedical Data Scientist Do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

What are some typical challenges faced by Biomedical Data Scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn a median annual salary of around $90,000 to $110,000, with experienced professionals and those working in research or healthcare settings earning higher. Salaries can vary based on education, skills in programming and statistical analysis, and geographic location.

What are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What are biomedical data scientists?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.

What is biomedical data science?

Biomedical data science is a field that involves analyzing and interpreting large biological and medical datasets to support research and healthcare. Biomedical data scientists use skills in statistics, programming, and domain knowledge to develop models, visualize data, and extract insights from complex information such as genomic, clinical, and imaging data.

Can a biomedical engineer become a data scientist?

A biomedical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their background in biology and engineering can be advantageous when working with healthcare or biomedical data, but they typically need to develop expertise in data analysis tools like Python, R, and SQL. Transitioning may also involve gaining experience with large datasets and data visualization techniques relevant to data science roles.

Is biomedical data science a good career?

Biomedical data science is a growing field that combines data analysis, machine learning, and biology to improve healthcare and medical research. It offers high demand for skilled professionals, competitive salaries, and opportunities to work in research institutions, healthcare companies, and biotech firms. Strong programming skills, knowledge of biology, and familiarity with data analysis tools are essential for success in this career.
What cities are hiring for Biomedical Data Scientist jobs? Cities with the most Biomedical Data Scientist job openings:
What are the most commonly searched types of Biomedical Data Scientist jobs? The most popular types of Biomedical Data Scientist jobs are:
What states have the most Biomedical Data Scientist jobs? States with the most job openings for Biomedical Data Scientist jobs include:
Senior Data Scientist

Senior Data Scientist

Boston Scientific

Valencia, CA • On-site

Other

Posted 23 days ago


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

36th of 527 rated manufacturers


Job description

Additional Location(s): US-CA-Valencia

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions.       

About the role:

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

As a Senior Data Scientist, you will work at the intersection of medical devices, clinical data and real-world evidence. Your work will focus on mining, analyzing and developing models from clinical study and real-world datasets. You will collaborate cross-functionally across R&D (systems, software, firmware and hardware), quality, clinical, regulatory, marketing and commercial teams to translate data-driven insights into actionable product development and therapy recommendations.

At Boston Scientific, we value collaboration and synergy. This role follows an on-site work model requiring employees to be in our Valencia, California, office at least four days per week.

Your responsibilities will include:

  • Mine and analyze data from company databases to support product development, marketing and clinical activities, and monitor real-world neuromodulation device usage.
  • Build custom data models, algorithms and analytics tools that leverage the data pipeline to provide actionable insights into neuromodulation therapy usage, effectiveness and optimization.
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
  • Partner with cross-functional teams to implement models, monitor outcomes and identify opportunities to leverage data in support of next-generation device design.
  • Participate in intellectual property evaluations and the development of patent applications.
  • Ensure data remains secure and appropriately separated across global cloud environments and data centers, including AWS and Azure regions.
  • Write internal documentation and contribute to professional articles and technical publications, as appropriate.

Required qualifications:

  • Master's degree in data science, biostatistics, computer science, biomedical engineering or a related field and a minimum of 3 years' experience in medical technology or a related industry; or a bachelor's degree in one of the above fields and a minimum of 5 years' experience in medical technology or a related industry.
  • Experience with technical computing and programming environments, including but not limited to MATLAB, Python, R, AWS, Azure and associated data analysis tools.
  • Strong communication skills with a demonstrated ability to influence senior stakeholders and present to both technical and nontechnical audiences.
  • Proven ability to work independently and lead open-ended initiatives from problem definition through delivery.
  • Willingness and ability to travel domestically and internationally up to 25%.

Preferred qualifications:

  • Doctorate (Ph.D.) in data science, biostatistics, computer science, biomedical engineering or a related field, with an emphasis on biomedical data science applications.
  • Deep experience working with clinical datasets, including clinical trials, real-world evidence (RWE) and longitudinal patient data.
  • Domain expertise in neuromodulation, neurotechnology or implantable medical devices (e.g., IPG systems).
  • Demonstrated ability to translate complex analyses into actionable recommendations that influence product design, clinical strategy or patient outcomes.
  • Strong background in advanced statistical modeling and machine learning, including survival analysis, mixed-effects models, causal inference and predictive modeling.
  • Familiarity with generative AI and medical technology or data-centric AI tools and agents.
  • Familiarity with regulatory environments, including FDA, HIPAA and GCP requirements, and best practices for handling sensitive patient data.

Requisition ID: 630138

Minimum Salary: $89200 

Maximum Salary: $169500 

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) - see www.bscbenefitsconnect.com-will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more atwww.bostonscientific.comand follow us onLinkedIn.

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status.  Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment.  Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements.   As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company's policies or protocols change with regard to COVID-19 vaccination.


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