Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent ...
This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next ... Experience putting data science workflows into production. * Proven ability to work collaboratively ...
Sr. Biomedical Engineer
Tarrytown, NY · On-site
Co-ideate new claims and indications with Marketing, providing scientific justification and ... Familiarity with human anthropometry, population biomechanics data, and ergonomic design principles ...
New
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Sr. Biomedical Engineer
Tarrytown, NY · On-site
Co-ideate new claims and indications with Marketing, providing scientific justification and ... Familiarity with human anthropometry, population biomechanics data, and ergonomic design principles ...
New
Sr. Biomedical Engineer
Tarrytown, NY · On-site
Co-ideate new claims and indications with Marketing, providing scientific justification and ... Familiarity with human anthropometry, population biomechanics data, and ergonomic design principles ...
Sr. Biomedical Engineer
Tarrytown, NY · On-site
Co-ideate new claims and indications with Marketing, providing scientific justification and ... Familiarity with human anthropometry, population biomechanics data, and ergonomic design principles ...
This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent ...
This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent ...
This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent ...
This role is ideal for individuals interested in biomedical data science, translational medicine, computational neuroscience, or integrative analytics in complex human studies. Position contingent ...
PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. * 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. * Hands-on ...
PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. * 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. * Hands-on ...
TECHNICAL EDITOR AND BIOMEDICAL DATA ANALYST , The Lab for Computational Physiology (LCP) - Medical Engineering and Science (IMES), to join the PhysioNet team. PhysioNet is an internationally ...
TECHNICAL EDITOR AND BIOMEDICAL DATA ANALYST , The Lab for Computational Physiology (LCP) - Medical Engineering and Science (IMES), to join the PhysioNet team. PhysioNet is an internationally ...
Senior Data Scientist
New York, NY · Hybrid
$177K - $232K/yr
About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of ... Aid in the development and training of AI agents to automate and optimize biomedical workflows
Senior Data Scientist
New York, NY · Hybrid
$177K - $232K/yr
About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of ... Aid in the development and training of AI agents to automate and optimize biomedical workflows
Post-Doctoral Position in biomedical data mining
Baltimore, MD · On-site
$48K - $66K/yr
Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm ...
Post-Doctoral Position in biomedical data mining
Baltimore, MD · On-site
$48K - $66K/yr
Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm ...
Post-Doctoral Position in Biomedical Data Mining
Baltimore, MD · On-site
$48K - $66K/yr
Employer University of Maryland School of Medicine Normal 0 false false false EN-US ZH-CN X-NONE Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis ...
Post-Doctoral Position in Biomedical Data Mining
Baltimore, MD · On-site
$48K - $66K/yr
Employer University of Maryland School of Medicine Normal 0 false false false EN-US ZH-CN X-NONE Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis ...
Data Scientist
Sunnyvale, CA · On-site
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 ...
Data Scientist
Sunnyvale, CA · On-site
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 ...
Principal Data Scientist
Gaithersburg, MD · On-site
$175K - $215K/yr
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project ...
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Principal Data Scientist
Gaithersburg, MD · On-site
$175K - $215K/yr
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project ...
Senior Data Scientist
Carlsbad, CA · On-site
$130K - $150K/yr
The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...
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Senior Data Scientist
Carlsbad, CA · On-site
$130K - $150K/yr
The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...
Senior Data Scientist
Carlsbad, CA · On-site
$130K - $150K/yr
The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...
Senior Data Scientist
Carlsbad, CA · On-site
$130K - $150K/yr
The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...
Principal Data Scientist
Gaithersburg, MD · On-site +1
$175K - $215K/yr
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project ...
Principal Data Scientist
Gaithersburg, MD · On-site +1
$175K - $215K/yr
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project ...
Senior Data Scientist
Carlsbad, NM · On-site
$130K - $150K/yr
The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...
Senior Data Scientist
Carlsbad, NM · On-site
$130K - $150K/yr
The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...
Senior Biomedical Data Scientist information
See salary details
$41.5K - $56K
3% of jobs
$56K - $70.5K
0% of jobs
$70.5K - $85K
1% of jobs
$85K - $99.5K
4% of jobs
$99.5K - $114K
11% of jobs
$119.3K is the 25th percentile. Wages below this are outliers.
$114K - $128.5K
16% of jobs
The median wage is $141.2K / yr.
$128.5K - $143K
17% of jobs
$143K - $157.5K
16% of jobs
$163.4K is the 75th percentile. Wages above this are outliers.
$157.5K - $172K
17% of jobs
$172K - $186.5K
10% of jobs
$186.5K - $201K
5% of jobs
$41.5K
$142.5K
$201K
How much do senior biomedical data scientist jobs pay per year?
What are Senior Biomedical Data Scientists?
How does a Senior Biomedical Data Scientist typically collaborate with clinical teams and researchers on interdisciplinary projects?
What is the difference between Senior Biomedical Data Scientist vs Biomedical Data Scientist?
| Aspect | Senior Biomedical Data Scientist | Biomedical Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in Bioinformatics, Data Science, or related fields; experience with programming and statistical tools | Bachelor's or Master's in relevant fields; foundational knowledge in data analysis and biology |
| Work Environment | Research labs, healthcare companies, biotech firms; often involved in complex data projects | Academic institutions, healthcare organizations, biotech companies; focused on data collection and analysis |
| Employer & Industry Usage | Used in biotech, pharma, healthcare research; roles often involve leadership in projects | Common in research, clinical, and academic settings; entry to mid-level roles |
The main difference between a Senior Biomedical Data Scientist and a Biomedical Data Scientist lies in experience, responsibilities, and expertise. Senior roles typically require advanced degrees and extensive experience, involving leadership and complex project management, whereas Biomedical Data Scientists are often entry to mid-level professionals focused on data analysis and research support.
What are the key skills and qualifications needed to thrive as a Senior Biomedical Data Scientist, and why are they important?
Full-time
Posted 14 days ago
Tempus AI rating
7.8
Based on 8 frontline employees who took The Breakroom Quiz
102nd of 191 rated software companies
Job description
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus\' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
With the advent of genomic sequencing, we can finally decode and process our genetic makeup; however, computer technology has had a limited impact in healthcare. With the expansion of multi-modal healthcare data and recent advancements in AI, that’s about to fundamentally change. Tempus is a healthcare technology company at the forefront of that change, leveraging data and technology to improve patient lives.
Lens, Tempus\' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.
The Scientific and Technical Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data and the Lens Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers.
Key Responsibilities:
Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition into the Tempus Data Ecosystem and our analytical platform, Lens.
Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design).
Platform Guidance & Solutioning: Translate the client\'s scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging).
AI-Assisted Optimization: Leverage LLMs and co-pilot tools to accelerate internal development and create specialized agents that help clients navigate and derive insights from large-scale biomedical data, and make the client experience on the platform as easy, efficient, and intuitive as possible.
Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges.
Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis.
Qualifications:
Required Skills & Experience
A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline).
Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data).
Experience working with statistical modeling, data mining and/or machine learning methods.
Hands-on experience with analytical tools and languages relevant to biomedical research. Must be fluent in Python or R. If Python is the primary language, having some R coding experience is required. Being comfortable in both languages is an added bonus.
Experience with software development and the AWS or GCP technical stack
Experience with engineering practices for research computing (Docker, Git, Github, Linux, cloud computing).
Demonstrated proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.
Experience building specialized AI agents or designing workflows that utilize LLMs to solve complex technical problems.
Experience putting data science workflows into production.
Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly.
Demonstrated "power-user" proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.
Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences.
A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions.
Preferred (Bonus) Qualifications:
Experience in the biotech, pharma, or healthcare technology space.
Direct experience with oncology research.
Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask
$100,000-175,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Tempus AI
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