Full-Time

Senior Scientist

Applied Machine Learning and Generative AI, Pharma R&D

Confirmed live in the last 24 hours

Tempus

Tempus

1,001-5,000 employees

AI-driven healthcare data analysis platform

AI & Machine Learning
Biotechnology
Healthcare

Senior

Company Historically Provides H1B Sponsorship

Boston, MA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Data Science
R
SQL
Machine Learning
Data Analysis

You match the following Tempus's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • PhD and additional 2+ years of working experience or Masters and additional 4+ years of working experience
  • Quantitative and computational skills (e.g. Applied Machine Learning, Generative AI, Computational Biology, Biostatistics/Statistical Genetics, and/or Bioinformatics)
  • Biological or medical knowledge (e.g. oncology, immunology, genomics, transcriptomics)
  • Target, drug or diagnostic discovery, or clinical drug development
  • Proficient in R, Python, and SQL, and respective packages for computational biology and machine learning
  • Applicable knowledge of machine learning and statistical modeling
  • Strong understanding of the uses of artificial intelligence in molecular data analysis or drug discovery/development
  • Experience in integrative modeling of multi-modal clinical and omics data
  • Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences
  • Comfort in a client-facing role
  • Motivated and thrive in a fast-paced environment, willing to shift priorities seamlessly
Responsibilities
  • Become an expert in Tempus’ vast epidemiological, clinical, ‘omic and imaging data, along with the latest tools and techniques for their analysis and modeling
  • Drive continual improvement of the Tempus platform for pharmaceutical R&D by integrating client feedback, staying ahead of research and industry trends, and championing new opportunities
  • Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions
  • Gain proficiency in pharmaceutical companies' strategies, drug modalities, and pipelines to identify where the Tempus platform can add value
  • Co-develop solutions with client science and clinical teams, and design, develop, and execute complex translational research projects leveraging the Tempus platform to advance their drug R&D programs
  • Skillfully navigate client interactions to extract and communicate the most impactful insights driving new R&D opportunities; effectively communicate complex technical results and methodologies to diverse external stakeholders
  • Continuously immerse yourself in the latest industry trends, best practices, and advancements in machine learning and AI to revolutionize drug R&D
Desired Qualifications
  • Strong peer-reviewed publication record
  • Strong understanding of cancer biology
  • Expertise in one or more of the following: in vitro data analysis and phenomics, network and systems biology, mechanistic modeling and simulation, knowledge analytics, deconvolution and causal inference, integrative analysis of multi-modal data, real-world evidence, and survival analysis
  • Previous experience working with large transcriptome and NGS data sets
  • Experience with R package development
  • Goal orientation, self-motivation, and drive to make a positive impact in healthcare

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in the healthcare sector. The company offers a platform that analyzes medical data to assist physicians in making informed treatment decisions by providing insights from medical images and identifying care gaps. For pharmaceutical and biotech companies, Tempus aids in drug development by discovering new targets and assessing treatment effectiveness. Patients benefit from personalized therapy options identified through the platform. Tempus conducts significant research, particularly in cancer, and has developed tools like a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. The company generates revenue by charging healthcare providers and companies for access to its platform and insights, aiming to improve patient care and support drug development.

Company Stage

IPO

Total Funding

$894.9M

Headquarters

Chicago, Illinois

Founded

2015

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI integration in EHR systems supports Tempus' data analytics capabilities.
  • Growing demand for personalized medicine boosts Tempus' therapy solutions.
  • AI-powered health apps market growth supports Tempus' olivia app success.

What critics are saying

  • Ambry Genetics acquisition may strain Tempus' financial resources and integration efforts.
  • xT CDx test faces competition, impacting market penetration and revenue.
  • olivia app may raise privacy concerns, affecting user adoption and trust.

What makes Tempus unique

  • Tempus uses AI to analyze clinical and molecular data for precision medicine.
  • Their platform offers personalized therapy options, enhancing patient care and drug development.
  • Tempus' pan-cancer organoid platform and liquid biopsy assay are unique in cancer research.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Relocation Assistance

Company Equity

Performance Bonus