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60 Tempus Senior Data Scientist Jobs Hiring Near You

Tempus

Senior Data Modeler I

Chicago, IL · On-site +1

$90K - $130K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Collaborate with cross-functional teams including medical oncologists, research scientists, and ...

Tempus

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 ... Bachelor's degree in an analytical, computational, or healthcare-related field (e.g., Data Science ...

Tempus

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 ... Bachelor's degree in an analytical, computational, or healthcare-related field (e.g., Data Science ...

Tempus

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 ... Bachelor's degree in an analytical, computational, or healthcare-related field (e.g., Data Science ...

Tempus

Senior Analyst, Data Operations

Chicago, IL · On-site

$80K - $100K/yr

Tempus Data Operations Manager Passionate about precision medicine and advancing the healthcare ... Support accurate and timely execution of data deliverables for both Provider and Life Sciences ...

Tempus

Senior Analyst, Data Operations

Chicago, IL · On-site

$80K - $100K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Support accurate and timely execution of data deliverables for both Provider and Life Sciences ...

Tempus

Senior Analyst, Data Operations

Chicago, IL · On-site

$80K - $100K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Support accurate and timely execution of data deliverables for both Provider and Life Sciences ...

Tempus

OR

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... This will include proactive and reactive communication of scientific data; * Provide scientific ...

Tempus

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 ... Leverage your expertise to support cross-functional science, ML, and AI teams. You will act as a ...

Tempus

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 ... Leverage your expertise to support cross-functional science, ML, and AI teams. You will act as a ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL

$126.20K - $166.40K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Leverage your expertise to support cross-functional science, ML, and AI teams. You will act as a ...

Tempus

Associate Director RWE, PharmaR&D

Boston, MA

Work with Research, Engineering & Data Science teams across Tempus' expansive data science community to develop and deliver innovative computational solutions. * Drug R&D: Partner with big pharma ...

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Tempus Jobs Information

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

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

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.
What other companies are hiring for Senior Data Scientist jobs?
What are the most popular jobs at Tempus?
What are the most popular categories at Tempus?
Infographic showing various Senior Data 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.
Senior Data Modeler I

Senior Data Modeler I

Tempus

Chicago, IL • On-site, Remote

$90K - $130K/yr

Full-time

Posted 16 days ago

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.

Responsibilities:

  • Collaborate with cross-functional teams including medical oncologists, research scientists, and engineers to develop and maintain clinical data models.

  • Translate customer needs and product requests into key concept definitions and business logic for complex models.

  • Facilitate integration of data model into workflows, applications, and data deliveries.

  • Structure and normalize data from a variety of sources, including Tempus curated data, EHR integrations, and lab systems.

  • Develop and maintain knowledge bases for clinical concepts.

  • Create and execute validation plans in conjunction with SMEs for new models and disease types.

  • Proactively monitor and support quality assurance and process improvement initiatives.

  • Monitor performance of production processes and recommend areas for improvement.

Qualifications:

  • 5+ years of oncology data modeling experience.

  • Experience working with real world data from various sources (e.g., curation workflows, EHRs, lab systems, claims, research datasets).

  • Experience working with modern ELT tools such as DBT to maintain high volume, high velocity data warehouses

  • Experience working with standard medical terminologies (e.g., SNOMED CT, RxNorm, LOINC, ICD-9/10).

Nice-to-haves:

  • Clinical background (MD/DO, PharmD, PA, NP, RN, etc.).

  • Familiarity with next-generation sequencing data.

  • Experience with real world data analysis in Python or R.

  • Participation in professional organizations (e.g., OHDSI, AMIA).

#LI-BL1

$90,000 - $130,000

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.

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