Tempus
Tempus

20 Tempus Bioinformatics Scientist Jobs Hiring Near You

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126.20K - $166.40K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their ...

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126.30K - $166.50K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Bioinformatics background is not required; the role is focused on the technical application of data ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Sc or PhD in a relevant field (e.g., Biomedical Sciences, Biomedical Engineering, Bioinformatics ...

Manager, Regulatory Submissions

Chicago, IL · On-site

$110K - $150K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Our Manager of Regulatory Affairs will work closely with our scientists, engineers, clinicians ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Our Regulatory Affairs Specialist will work closely with our scientists, engineers, clinicians ...

Regulatory Affairs Specialist

Chicago, IL · On-site

$90K - $120K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Our Regulatory Affairs Specialist will work closely with our scientists, engineers, clinicians ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Our Manager of Regulatory Affairs will work closely with our scientists, engineers, clinicians ...

Sr. Data Operations Analyst

Chicago, IL

$88.60K - $111.80K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Science, Bioinformatics, Computer Science, Biomedical Engineering, Public Health) * 4-6 years of ...

Sr. Data Operations Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Science, Bioinformatics, Computer Science, Biomedical Engineering, Public Health) * 4-6 years of ...

Sr. Data Operations Analyst

Chicago, IL · On-site

$88.70K - $111.90K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Science, Bioinformatics, Computer Science, Biomedical Engineering, Public Health) * 4-6 years of ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Coordinate and optimize QC workflows with clinical lab operations, supply chain, bioinformatics ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Coordinate and optimize QC workflows with clinical lab operations, supply chain, bioinformatics ...

Tempus Jobs Information

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

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

How do Bioinformatics Scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What is a Bioinformatics Scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

What is it like to work at Tempus?

Tempus is a data-driven healthcare technology company that prioritizes innovation and collaboration, fostering a culture of teamwork and continuous learning.

The company's structure is designed to facilitate interdisciplinary collaboration, with teams comprising experts from various fields, including medicine, engineering, and data science, working together to develop and implement cutting-edge technologies that improve cancer care and patient outcomes.

Working at Tempus may appeal to individuals who are passionate about using data and technology to drive meaningful change in healthcare, as the company offers opportunities for professional growth, a dynamic work environment, and the chance to contribute to a mission that has the potential to impact millions of lives.
Infographic showing various Bioinformatics Scientist job openings at Tempus in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 68% Physical, 5% Hybrid, and 27% Remote job distribution.
Sr. Data Scientist, Translational Research

Sr. Data Scientist, Translational Research

Tempus

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


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.