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Biomedical Computing Jobs in New York (NOW HIRING)

Senior Data Scientist

New York, NY ยท Hybrid

$177K - $232K/yr

Aid in the development and training of AI agents to automate and optimize biomedical workflows ... Proven expertise in cloud computing environments, including proficiency with tabular and/or graph ...

... care, biomedical research and medical education, is seeking highly motivated, enthusiastic ... computing environments โ€ข Strong programming skills in Python, R, shell scripting โ€ข Proficiency ...

Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD ... Work at the intersection of cutting-edge AI, edge computing, and healthcare * A talented, excellent ...

Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD ... Work at the intersection of cutting-edge AI, edge computing, and healthcare * A talented, excellent ...

Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD ... Work at the intersection of cutting-edge AI, edge computing, and healthcare * A talented, excellent ...

Principal Data Scientist

New York, NY ยท On-site

$204K - $267K/yr

Aid in the development and training of AI agents to automate and optimize biomedical workflows ... Proven expertise in cloud computing environments, including proficiency with tabular and/or graph ...

Can demonstrate some computing skills and has experience with MS Office suite and Google Workspace ... biomedical and/ or software development As with all roles, Medidata sets ranges based on a number ...

Showing results 41-60

Biomedical Computing information

See New York salary details

$20

$34

$54

How much do biomedical computing jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for biomedical computing in New York is $34.18, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $38.41 per hour, depending on experience, location, and employer.

What is a biomedical computing?

A Biomedical Computing job involves applying computational techniques to analyze and solve problems in biology, medicine, and healthcare. Professionals in this field develop software, algorithms, and models to process medical data, support diagnostics, and enhance healthcare technologies. They often work with medical imaging, bioinformatics, or electronic health records to improve patient care and research. This role requires expertise in computer science, data analysis, and biomedical sciences.

What can you do with a biomedical computing degree?

A biomedical computing degree prepares individuals for roles such as biomedical software developer, data analyst, or research scientist, focusing on developing software, analyzing biological data, and creating computational models for healthcare applications. Skills in programming, data management, and understanding biological systems are essential, often using tools like MATLAB, Python, or R. Graduates can work in hospitals, research institutions, biotech companies, or medical device firms, contributing to medical research, diagnostics, and treatment development.

What are the key skills and qualifications needed to thrive in biomedical computing, and why are they important?

To thrive in Biomedical Computing, you need a strong background in computer science, mathematics, and biology, often supported by a relevant degree such as bioinformatics, biomedical engineering, or computer science. Proficiency in programming languages (such as Python, R, or MATLAB), experience with data analysis tools, and familiarity with healthcare data standards (like HL7 or DICOM) are typically required. Strong problem-solving, attention to detail, and the ability to communicate complex technical concepts to interdisciplinary teams are valuable soft skills. These competencies enable professionals to develop and implement computational solutions that support medical research, clinical decision-making, and improved patient care.

What does a biomedical computing do?

Professionals in Biomedical Computing often spend their days designing and developing algorithms for processing biological or medical data, writing code to support research projects, and collaborating closely with clinicians and researchers. They may also be responsible for managing large databases, performing complex data analyses, and ensuring the security and integrity of sensitive healthcare information. Regular meetings with cross-functional teams, preparing data visualizations, and staying updated with the latest advancements in biomedical technology are also common. This mix of technical and collaborative tasks makes the role both intellectually stimulating and impactful in improving healthcare outcomes.

Infographic showing various Biomedical Computing job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,093 per year, or $34.2 per hour.

Senior Data Scientist

Formation Bio

New York, NY โ€ข Hybrid

$177K - $232K/yr

Other

Re-posted 22 days ago


Job description

About the Position

As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.ย 

Responsibilities

  • Lead and execute complex data science projects that directly advance our drug development portfolioย 
  • Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
  • Design and create AI models for modernizing clinical trial evaluations, including surrogate endpointsย 
  • Aid in the development and training of AI agents to automate and optimize biomedical workflowsย 
  • Collaborate cross-functionally with clinical, technical, and research teamsย 
  • Present complex analytical findings to senior stakeholders, including executive leadershipย 

About You

Required Qualificationsย 

  • PhD in computational sciences or life sciencesย 
  • 3+ years of post-academic experience in life sciences (biotech, pharma, consulting)ย 
  • Strong programming skills, particularly in Pythonย 
  • Extensive experience in multi-modal bioinformatics analysisย 

Preferred Qualificationsย 

  • Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databasesย 
  • Strong background in machine learning and deep learning, particularly in biological applicationsย 
  • Experience with large language models (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholdersย 

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate.

Compensation:

The target salary range for this role is: $177,500 - $232,000.

Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you.

You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


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