Scientist - Bioinformatics

Caris Life Sciences•Papago, AZ

5d•Onsite

About The Position

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do. But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose. Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins. Position Summary The Scientist - Bioinformatics will be responsible for supporting and maintaining Caris' existing NGS pipelines, as well as developing, implementing, and validating new NGS pipelines and related bioinformatics tools. As a member of the Caris Bioinformatics team, this role will work closely with our R&D, Clinical Operations, IT, and executive management to design and manage the analytic workflows and pipelines to support our whole exome, transcriptome, and genome assays.

Requirements

PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines.
Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS pipelines.
Knowledge and analytic skills managing bioinformatics data including FASTQ, BAM, and VCF.
Programming experience with Python, bash, SQL, GIT.
Skills in statistical analysis and data visualization with statistical packages such as R, SAS, or SciPy
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Nice To Haves

Experience with AWS services (e.g., Lambda, Step Functions and OMICS) and workflow languages such as WDL or Nextflow is preferred.
Good verbal and written communication skills.
Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results.
Strong foundation in principles and analytical methodologies in computational biology and bioinformatics to build and maintain large scale pipelines.

Responsibilities

Responsible for the implementation and maintenance of computational pipelines and workflows for the analysis, integration, and interpretation of diverse biologic data including genomic, transcriptomic, proteomic, and metabolomic data.
Implement bioinformatics strategies, ensuring alignment with organizational goals and scientific objectives.
Collaborate with research, clinical, and data scientists to identify computational needs, translate scientific and clinical questions into analytical workflows, and provide guidance for data processing, quality control, and statistical analysis.
Stay abreast of emerging bioinformatics tools, techniques, and best practices, and work to incorporate them into the bioinformatics framework.
Ensure the timely delivery of high-quality bioinformatics results by implementing rigorous quality control and validation procedures.
Establish and maintain databases, data repositories, and analytical platforms to facilitate data integration, sharing, and access for internal and external stakeholders.
Collaborate with IT and software development teams to optimize computational infrastructure, cloud computing, and database systems to support bioinformatics data storage, analysis, and visualization.
Ensure compliance with relevant data protection regulations and ethics guidelines, promoting best practices for data management, privacy, and security.
Collaborate with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects.