AI Scientist, Translational Oncology & Genomics (PhD)

Caris MPI, Inc.; Irving (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Caris Life Sciences in Irving, TX is seeking a Data Scientist for the Innovation Team to develop ML/DL models on molecular sequencing data (WGS, WES, RNA-seq, cfDNA) and to design analytic pipelines for biomarker discovery that can impact clinical decision-making.

You will lead end-to-end research projects, publish findings, and help shape methods for diagnostic platforms while collaborating with bioinformaticians, molecular biologists, and clinicians in a fast-moving R&D environment.

Qualifications

• PhD completed or up to ~2 years post-doctoral research experience.
• Demonstrated work on cancer biology or translational research problem.
• Hands-on experience with molecular sequencing data (WGS/WES/RNA-seq/cfDNA) and pipelines.
• Experience with generative AI applied to scientific/clinical data.
• Proficiency with PyTorch and modern DL architectures; ML/DL applications to biology/clinical data.

Responsibilities

• Process, manipulate, and analyze large MS datasets from NGS to develop cancer biomarkers.
• Develop novel algorithms for feature extraction and biomarker discovery from sequencing data.
• Apply first-principles analysis to translate open questions into tractable problems.
• Utilize state-of-the-art ML/DL methods for biological/clinical research questions.
• Create evaluation frameworks and track experiments with MLflow or Weights & Biases.
• Contribute to peer-reviewed publications and present findings at conferences.

Skills

Python

PyTorch

Linux

Git

Cloud AWS

Generative AI

Education

PhD in Data Science / Bioinformatics / Genomics

Tools

AWS (EC2/S3)

MLflow

Weights & Biases

Docker

Job description

Caris Life Sciences in Irving, TX is seeking a Data Scientist for the Innovation Team to develop ML/DL models on molecular sequencing data (WGS, WES, RNA-seq, cfDNA) and to design analytic pipelines for biomarker discovery that can impact clinical decision-making.

You will lead end-to-end research projects, publish findings, and help shape methods for diagnostic platforms while collaborating with bioinformaticians, molecular biologists, and clinicians in a fast-moving R&D environment.