Associate Principal Scientist, PharmaR&D

Are you passionate about using clinico-genomics to transform cancer therapeutic care?

Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation and the application of artificial intelligence (AI) to fundamentally change cancer care.  Tempus is growing, and we are seeking exciting new talent to join the team.

Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians and drug developers.  As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to genetics, transcriptomics and digital pathology. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.

The Associate Principal Scientist, PharmaR&D will design, propose and execute research projects for Tempus’s top biopharmaceutical partners.  This role will require staying up to date in research and industry trends in oncology drug development to identify specific areas where the Tempus platform can provide impact to our partners portfolio. This role involves performing complex computational analyses and guiding algorithm development for advancing cancer precision medicine for patients across the Tempus network.  The ideal candidate will possess strong genomic analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.

Description

• Scientific Communication: Expert in navigating client interactions; Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders
• Innovation: Drive continual improvement of the Tempus platform by integrating client feedback, staying ahead of research and industry trends, and championing new opportunities.
• Collaboration:  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 clients.  Become proficient in the clients’ strategies, drug modalities and pipeline to identify where the Tempus platform can add value.  
• Independent Contribution: Independently execute complex translational research projects integrating molecular and clinical data from Tempus’ multimodal data platform to extract insights and drive new research opportunities, including new target discovery.
• Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality 

Qualifications

• Education and experience: 
  • Experience at a Pharmaceutical company or in a client facing analytical role
  • Either
    • PhD and additional 4+ years of working experience 
    • Masters and additional 6+ years of working experience
  • Combining:
    • Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Machine Learning, or Bioinformatics).
    • Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
    • Genomics and transcriptomics.
    • Target, drug or diagnostic discovery or clinical development.
• Technical/Scientific Skills: 
  • Expertise in one of the following: in vitro data analysis, translational research, integrative analysis of multi-modal data, real world evidence and outcome analysis.
  • Proficient in R, Python, and SQL, and respective packages for computational biology. 
  • Strong understanding of cancer biology.
  • Applicable knowledge of machine learning and statistical modeling.
• Communication Skills: 
  • Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders. 
  • Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. 
• Motivated: Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self motivated to explore portfolio related opportunities. 

Preferred Skillsets/Background

• Goal orientation, self motivation, and drive to make a positive impact in healthcare.
• Strong peer-reviewed publication record.
• Previous experience working with large transcriptome and NGS data sets.
• Ability to work collaboratively in a team environment
• Experience with: RStudio, R Package development,  tidyverse, ggplot, Git, matplotlib, Pandas, Jupyter Notebooks