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.
- 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.
- 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.
- Experience with AWS services (e.g., Lambda, Step Functions and OMICS) and workflow languages such as WDL or Nextflow is preferred.
- 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.
- 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.
- Must possess ability to sit, stand, and/or work at a computer for long periods of time
- All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.
- This position requires periodic travel and some evenings, weekends and/or holidays.
- Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities.