Caris Life Sciences
Position Summary
We are seeking a highly skilled Bioinformatics Engineer to develop and maintain bioinformatics pipelines in AWS and contribute to the design and maintenance of cloud computing infrastructure. This position requires prior experience in cloud-based bioinformatics solutions, high-performance computing, and pipeline automation to ensure efficient and reproducible data analysis. The Bioinformatics Engineer will collaborate closely with scientists, software engineers, and data analysts to drive innovation and enhance data processing capabilities. Job Responsibilities
Develop and maintain robust cloud-native bioinformatics pipelines for processing and analyzing high-throughput sequencing data or other biological data. Design, deploy, and manage AWS infrastructure using IaC. Collaborate with cross-functional teams to develop software solutions that enhance and automate data analysis and interpretation. Implement best practices in software engineering, including version control, automated testing, CICD, and documentation. Analyze and interpret large-scale biological datasets to extract meaningful insights. Required Qualifications
Bachelor of Science in Bioinformatics, Computational Biology, Computer Science, or a quantitative field with previous experience in bioinformatics. 3-5 years of experience in developing and implementing bioinformatics solutions. Experience with working with cloud computing environments (AWS, Google Cloud, or Azure). Strong programming skills in Python, R, or other relevant languages. Familiarity with workflow systems such as WDL and Nextflow. Experience with containerization technologies (Docker, Kubernetes). Familiarity with bioinformatics tools and databases (e.g., GATK, SAMtools, Ensembl, UCSC Genome Browser). Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications
Experience with AWS services such as HealthOmics, Lambda Functions, S3, EC2, etc. Familiarity with SDLC and SWE best practices such as automated testing, CICD, code reviews. Experience with building applications using Flask, RShiny, or JavaScript. Experience in genomics, transcriptomics, and other omics data analysis. Knowledge of regulatory requirements in clinical bioinformatics. Physical Demands
Ability to lift and move laboratory equipment and supplies. Standing for extended periods while performing laboratory tasks. Manual dexterity for handling specimens and operating laboratory equipment2. Training
All job-specific, safety, and compliance training will be assigned based on the job functions associated with this employee. Other
This position requires periodic travel and some evenings, weekends, and/or holidays. Job may require after-hours response to emergency issues. Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities Conditions of Employment
Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification. This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Caris Life Sciences is a leading innovator in molecular science and artificial intelligence focused on fulfilling the promise of precision medicine through quality and innovation. Caris is committed to quality and excellence at our state-of-the-art laboratories. Learn more about our tissue lab and the advanced technologies that are helping improve the lives of cancer patients.
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We are seeking a highly skilled Bioinformatics Engineer to develop and maintain bioinformatics pipelines in AWS and contribute to the design and maintenance of cloud computing infrastructure. This position requires prior experience in cloud-based bioinformatics solutions, high-performance computing, and pipeline automation to ensure efficient and reproducible data analysis. The Bioinformatics Engineer will collaborate closely with scientists, software engineers, and data analysts to drive innovation and enhance data processing capabilities. Job Responsibilities
Develop and maintain robust cloud-native bioinformatics pipelines for processing and analyzing high-throughput sequencing data or other biological data. Design, deploy, and manage AWS infrastructure using IaC. Collaborate with cross-functional teams to develop software solutions that enhance and automate data analysis and interpretation. Implement best practices in software engineering, including version control, automated testing, CICD, and documentation. Analyze and interpret large-scale biological datasets to extract meaningful insights. Required Qualifications
Bachelor of Science in Bioinformatics, Computational Biology, Computer Science, or a quantitative field with previous experience in bioinformatics. 3-5 years of experience in developing and implementing bioinformatics solutions. Experience with working with cloud computing environments (AWS, Google Cloud, or Azure). Strong programming skills in Python, R, or other relevant languages. Familiarity with workflow systems such as WDL and Nextflow. Experience with containerization technologies (Docker, Kubernetes). Familiarity with bioinformatics tools and databases (e.g., GATK, SAMtools, Ensembl, UCSC Genome Browser). Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications
Experience with AWS services such as HealthOmics, Lambda Functions, S3, EC2, etc. Familiarity with SDLC and SWE best practices such as automated testing, CICD, code reviews. Experience with building applications using Flask, RShiny, or JavaScript. Experience in genomics, transcriptomics, and other omics data analysis. Knowledge of regulatory requirements in clinical bioinformatics. Physical Demands
Ability to lift and move laboratory equipment and supplies. Standing for extended periods while performing laboratory tasks. Manual dexterity for handling specimens and operating laboratory equipment2. Training
All job-specific, safety, and compliance training will be assigned based on the job functions associated with this employee. Other
This position requires periodic travel and some evenings, weekends, and/or holidays. Job may require after-hours response to emergency issues. Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities Conditions of Employment
Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification. This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Caris Life Sciences is a leading innovator in molecular science and artificial intelligence focused on fulfilling the promise of precision medicine through quality and innovation. Caris is committed to quality and excellence at our state-of-the-art laboratories. Learn more about our tissue lab and the advanced technologies that are helping improve the lives of cancer patients.
#J-18808-Ljbffr