(Senior) Translational Scientist

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.

We are a precision medicine company that utilizes real-world data to develop innovative healthcare solutions focusing on oncology. We seek a highly motivated and skilled Translational Research Engineer / Computational Biologist with expertise in the R programming language to join our Translational Research team. The successful candidate will have experience in building R packages, writing parameterized Rmarkdown reports, and managing complexity with Python dependencies.

The ideal candidate will be expected to work in a fast-paced environment, writing good quality, well-documented code on a daily basis in service of the Translational research team. The majority of the role will be dedicated to building R packages for serval oncology analysis applications that work on a unique stack - Google Cloud, Docker, Kubernetes, R, Python, SQL (Google Bigquery), and Unix. 

Responsibilities:

• Develop and maintain R packages for data analysis and statistical modeling, focusing on oncology applications.
• Create customizable and fully reproducible reports in Rmarkdown for real-world data analysis in oncology.
• Collaborate with researchers to develop data processing pipelines and visualizations for oncology applications.
• Manage dependencies with Python and integrate with R code for oncology applications.
• Optimize and scale data analyses for oncology applications using cloud-based systems, specifically Google Cloud.
• Utilize containerization tools such as Docker to deploy data processing workflows for oncology applications efficiently.
• Develop and maintain data processing workflows using Python for oncology applications.

Qualifications:

• Ph.D. in Bioinformatics or Computational Biology or a relevant scientific field. Post-doctoral experience is valuable. 
• Expertise in R programming and statistical modeling.
• Experience building R packages and writing parameterized Rmarkdown reports for real-world data analysis in oncology.
• Experience with Python, working with R - Python interaction (reticulate R package), and ability to manage dependencies with Python.
• Proficiency in cloud-based systems, specifically Google Cloud, ideally for oncology applications.
• Experience with containerization tools such as Docker.
• Strong problem-solving skills and ability to manage complexity.
• Experience building R packages in Bioconductor or CRAN for oncology applications is a huge bonus.
• Demonstrated experience in using not just base R but also tidyverse for real-world data analysis.
• Experience in applying machine learning to biology is a plus.
• Good understanding of SQL and demonstrated use of R packages interfacing with SQL.
• You enjoy the biotech working culture with a great collaborative spirit and are a strong team player in a fast-paced startup environment. 

This is a full-time position with a competitive salary and benefits package. If you are a research engineer or computational biologist passionate about using data and technology to drive scientific discovery in precision medicine, specifically in oncology, we encourage you to apply for this exciting opportunity.