Translational Scientist II,  Translational Research

Tempus AI • Boston, MA

1d • $90,000 - $150,000

About The Position

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. Translational Scientist II, Translational Research With the advent of genomic sequencing, we can finally decode and process our genetic makeup; however, computer technology has had a limited impact in healthcare. With the expansion of multi-modal healthcare data and recent advancements in AI, that’s about to fundamentally change. Tempus is a healthcare technology company at the forefront of that change by leveraging data to improve patient lives. Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Translational Scientist II, Translational Research will execute research projects for early stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders.

Requirements

• PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively an MSc degree with 4+ years of industry experience.
• Highly proficient in R (ideally Rmd and/or RShiny)
• Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.

Nice To Haves

• Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data.
• Previous experience working with large transcriptome and NGS data sets.
• Prior consulting and/or client facing experience is highly desirable
• Ability to work collaboratively in a team environment
• Thrive in a fast-paced environment and willing to shift priorities seamlessly.
• Experience with R package development.
• Strong peer-reviewed publication record.
• Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS.
• Goal orientation, self motivation, and drive to make a positive impact in healthcare.

Responsibilities

• Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners
• Present scientific findings clearly and meaningfully to diverse sets of external stakeholders
• 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 on team

Benefits

• Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree