Summer 2026

AI Data Science Associate Intern

Posted on 5/16/2026

Tempus

Tempus

1,001-5,000 employees

AI-driven platform for medical data insights

Compensation Overview

$35/hr

+ Relocation Bonus

Company Historically Provides H1B Sponsorship

Chicago, IL, USA

Hybrid

Hybrid role: 3 days on-site per week in Chicago.

Master's, PhD

Category
Data & Analytics (1)
Required Skills
LLM
Scikit-learn
Python
Data Science
TensorFlow
Neural Networks
PyTorch
Xgboost
SQL
Machine Learning
Matplotlib
AWS
Pandas
NumPy
Google Cloud Platform

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Requirements
  • Currently pursuing a Master’s or PhD in Data Science, Machine Learning, Computer Science, Statistics, or a related discipline.
  • Strong academic or project-based foundation in AI-augmented processing and automation.
  • Bioinformatics background is not required; the role is focused on the technical application of data science.
  • Proficiency in supervised and unsupervised learning, deep learning, and Natural Language Processing (NLP).
  • Strong programming skills in Python, SQL, or similar languages used for model development.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or XGBoost.
  • Direct experience or research focus on Large Language Models (LLMs) is a strong bonus.
  • Proficiency in statistical analysis and visualization using tools like pandas, NumPy, and Matplotlib.
  • Familiarity with cloud-based services (AWS, GCP) and building machine learning pipelines is a plus.
  • Proven track record of building and deploying machine learning models in academic or real-world applications.
  • Experience analyzing and wrangling large, complex datasets.
  • Excellent written and verbal communication skills with the ability to present technical results to non-technical stakeholders.
Responsibilities
  • Design and implement advanced machine learning models and NLP algorithms to address specific business challenges in document processing.
  • Conduct exploratory data analysis (EDA), feature engineering, and data preprocessing to uncover insights in complex, large-scale datasets.
  • Leverage state-of-the-art LLMs to automate documentation, data extraction, and other key business functions.
  • Work with a cross-functional team to integrate AI models into operational workflows and business systems.
  • Translate business objectives into scalable data science solutions by collaborating with domain experts.

Tempus provides an AI-powered platform that analyzes medical data and images to help physicians improve patient care and supports drug development for pharmaceutical and biotech companies. The platform produces actionable insights, finds gaps in care, and helps identify personalized therapy options for patients, while researchers use it for drug target discovery and evaluating treatments. It differentiates itself with a proprietary data-and-imaging platform paired with cancer-focused research tools, including a pan-cancer organoid platform and a validated liquid biopsy assay for profiling circulating tumor DNA. Its goal is to improve patient outcomes through data-driven, personalized medicine and to speed cancer research and development.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Chicago, Illinois

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • Tempus raised 2026 revenue guidance to $1.595-$1.605 billion after Q2 revenue hit $382.5 million.
  • FDA cleared Tempus ECG-PH on August 24, 2026, expanding a third cardiovascular device.
  • The $1.5 billion Personalis acquisition should deepen recurrence monitoring and oncology ordering channels.

What critics are saying

  • Farrier genetic-privacy class actions in Illinois target Ambry data use and model training.
  • Guardant's Delaware patent suits threaten xM tests, royalties, and injunctions into 2027.
  • Personalis integration and stock-based compensation can obscure margin quality if growth slows.

What makes Tempus unique

  • Tempus combines de-identified multimodal oncology data with AI, unlike single-modality diagnostics.
  • Its 2026 PRISM2 Nature Medicine study validated diagnostic-grade cancer detection with Microsoft researchers.
  • Tempus now spans oncology, cardiology, and companion diagnostics through Hub, xT CDx, ECG-PH.

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Benefits

Relocation Assistance

Company Equity

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Aug 27th, 2026
Cathie Wood trims $4M stake in Tempus AI after 38% healthcare stock surge

Cathie Wood's Ark Investment Management sold $4 million worth of Tempus AI shares after the healthcare AI stock surged nearly 30% in recent days, making it the second-largest holding in her flagship fund. Wood sold 57,819 shares on 25 August, following Tempus AI's 38% rally since 18 August. The gains came after Merck and Moderna provided updates on a late-stage trial of their personalised cancer vaccine, for which Tempus plans to serve as the sequencing provider if approved. Tempus reported second-quarter revenue of $382.5 million, up 22% year-over-year, and raised its full-year revenue outlook to between $1.595 billion and $1.605 billion. The company also posted adjusted EBITDA of $8 million, compared with a $5.6 million loss the previous year. Wood's Ark Innovation ETF is up 10.16% year-to-date.

Associated Press
Aug 24th, 2026
Tempus receives FDA clearance for AI tool detecting pulmonary hypertension from ECGs

Tempus AI has received FDA 510(k) clearance for Tempus ECG-PH, an AI-enabled software that analyses standard 12-lead electrocardiograms to detect signs of pulmonary hypertension. This is the company's third FDA-cleared cardiovascular device. Pulmonary hypertension affects approximately 1% of the population and up to 10% of adults over 65, but remains difficult to diagnose. The condition is characterised by stiffening and narrowing of blood vessels in the lungs, straining the heart's right side. The software is designed for use on patients aged 40 and older with cardiovascular symptoms who have no known history of pulmonary hypertension. It detects signs associated with elevated mean pulmonary artery pressure. Tempus emphasises that the tool is not intended as a stand-alone diagnostic device and results must be interpreted alongside other clinical information.

SaasRise
Aug 23rd, 2026
Tempus AI executives dump $6.6M in shares ahead of 24% stock surge.

Tempus AI executives dump $6.6M in shares ahead of 24% stock surge. SaasRise - Aug 23, 2026 Tempus AI's CEO, CFO, diagnostics chief and several other insiders sold roughly $6.6 million of stock through pre-planned 10b5-1 trades between Aug 14-19. The sales occurred moments before the company's shares jumped 24% on Moderna and Merck trial news and a pending $1.5 billion Personalis acquisition, prompting investors to scrutinize governance and valuation. Why it matters. The Tempus AI insider sales episode illustrates how routine equity-compensation mechanics can be misread during periods of heightened market volatility. For SaaS investors, the episode raises red flags around governance transparency in companies that blend subscription revenue with high-margin, regulated services. The rapid price appreciation tied to external clinical trial results also shows how AI-native health-tech firms can experience valuation spikes that are not fully under their own operational control, emphasizing the need for investors to focus on underlying revenue growth, gross margin trends, and the execution of strategic acquisitions like Personalis. Moreover, the cluster of 10b5-1 trades underscores the importance of timing and communication. While the sales were pre-scheduled and tax-driven, the proximity to a 24% rally could fuel speculation about insider sentiment, potentially affecting future capital-raising efforts or employee morale. Companies in the SaaS space must therefore balance liquidity needs of executives with clear disclosure practices to maintain investor trust. Key points. * CEO Eric Lefkofsky sold ~133,000 shares for $6.6 M on Aug 18 at $49.61 avg price * CFO James Rogers sold 48,842 shares at $55.21 avg price; retains 106,000 shares * Total insider sell-to-cover volume across eight executives exceeded $6 M in a volatile week * Tempus reported Q2 GAAP profit of $5.6 M, revenue up 22% to $382.5 M, and raised FY guidance to $1.6 B * Stock jumped 24% on Aug 19 after Moderna/Merck trial news, validating Personalis acquisition Analysis. Tempus AI's recent insider activity is a textbook case of how 10b5-1 plans can intersect with market dynamics to create perception risk. The company's hybrid model - SaaS platform licensing paired with high-margin diagnostic testing - means its valuation is tethered both to recurring subscription metrics (ARR growth, net retention) and to episodic clinical milestones. The August rally was less about Tempus's own product rollout and more about external validation of the sequencing technology that underpins its pending Personalis deal. This creates a double-edged sword: while the trial news can catapult the stock, it also makes the share price vulnerable to any setback in the partner's pipeline. From an operator's perspective, the key takeaway is the necessity of decoupling growth narratives from one-off events. Tempus must demonstrate that its diagnostics revenue, now at $289 M, can sustain double-digit growth without relying on trial-driven hype. The data segment's 28% YoY expansion is promising, as it represents a higher-margin, SaaS-like revenue stream less exposed to reimbursement volatility. If the Personalis integration can unlock cross-selling opportunities and deepen the multimodal data repository, the company could solidify a defensible moat that justifies its $10.7 B market cap despite a $254 M net loss. Finally, the insider sales underscore a broader governance lesson for SaaS investors: transparency around equity-compensation timing is as critical as the financials themselves. While the 10b5-1 plans were properly disclosed, the clustering of sales around a dramatic price swing can seed doubt. Companies should consider augmenting standard filings with narrative guidance - especially when operating in high-visibility, regulated sectors - to reassure the market that insider actions are routine and not indicative of shifting confidence. In the coming quarters, Tempus's ability to sustain growth, integrate Personalis, and manage perception will determine whether the recent rally translates into lasting shareholder value.

Noah Business Intelligence
Aug 20th, 2026
Tempus AI lists on Nasdaq with $6B valuation as precision medicine platform gains momentum

Tempus AI, a Chicago-based precision medicine company, debuted on Nasdaq on 14 June 2024 with a valuation exceeding $6 billion. The company sells AI-powered tools across oncology, cardiology, radiology and depression, combining artificial intelligence with real-world clinical and molecular data to support personalised treatment decisions. Founded in 2015 by former Groupon chief executive Eric Lefkofsky, Tempus operates platforms including Hub, Lens and Next. The initial public offering was priced at the top of its range. The company argues that AI can identify patterns in large datasets to improve diagnosis and therapy selection. Its challenge lies in translating its data-driven approach into sustainable commercial performance across multiple medical disciplines.

Yahoo Finance
Aug 11th, 2026
Tempus raises 2026 revenue guidance to $1.6B, expects $400M pricing uplift from FDA approvals by 2028

Tempus AI reported second-quarter 2026 revenues of $382.49 million, beating consensus estimates of $380.95 million. The company raised its full-year revenue guidance to $1.595 billion–$1.605 billion, representing approximately 25% growth. CEO Eric Lefkofsky highlighted substantial pricing opportunities from FDA approvals. The xT CDx approval is expected to add $85 million in annual revenue starting in 2027, whilst the liquid biopsy test xF could contribute another $550 million when approved in late 2027. Diagnostics revenues grew 20% to $289.3 million, and Data and Applications revenues increased 28% to $93.2 million. Oncology volume rose 31% year over year. The company signed approximately $200 million in new Data and Applications licences and delivered its first oncology foundation model to AstraZeneca, meeting the pharmaceutical company's acceptance criteria on response prediction tasks.

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