Garuda Therapeutics is pioneering the development of off-the-shelf hematopoietic stem cell (HSC)-based cellular therapies for treating patients with blood, bone marrow, immune, and metabolic disorders. The company uses state-of-the-art technologies in developmental biology, gene-editing, stem cells, and mechanobiology to engineer safe, compatible HSCs in scalable quantities to transform the lives of patients in need of an HSC-transplant.
We are seeking a highly motivated Research Associate or Senior Research Associate to partner with our computational biologist in leading large-scale genomics data analysis (WGS, RNA-seq, scRNA-seq), developing and optimizing bioinformatics pipelines, and collaborating with biologists and researchers. Your role involves managing and curating datasets, ensuring efficiency, scalability, and reproducibility, and utilizing your expertise in Python, R, Bash, and AWS EC2. Excellent communication and teamwork skills are essential for conveying findings through reports and presentations. Candidates should have a Bachelor’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field, with experience in high-throughput NGS data analysis and bioinformatics tools. This position will be located full time onsite in Cambridge, MA.
Role and Responsibilities:
Perform comprehensive data analysis on large-scale genomics datasets (e.g., WGS, RNA-seq – or NGS, scRNA-seq) using bioinformatics tools and pipelines
Develop and implement algorithms and computational approaches for analyzing complex biological data
Interpret results and provide actionable insights to support ongoing research projects
Develop, maintain, and optimize bioinformatics pipelines for data processing and analysis
Ensure pipelines are scalable, efficient, and reproducible
Work closely with biologists, clinicians, and other researchers to understand their bioinformatics needs and provide appropriate solutions
Communicate findings through written reports and presentations
Participate in team meetings and contribute to the planning and execution of research projects
Manage and curate large datasets, ensuring data integrity and accessibility
Assist on AWS based S3 to S3 and SFTP transfers of big data
Qualifications and Education Requirements:
Bachelor's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field is required. Master's degree is preferred
At least 1 year of experience in a bioinformatics or computational biology role in the biopharma industry is preferred
Proficiency in programming languages such as Python, R, and Bash is required
Experience in NGS platform/s is required
Familiarity with AWS EC2 and cloud-based bioinformatics solutions is required
Experience with bioinformatics tools such bwa, samtools, GATK, STAR, HISAT2 and snpeff is preferred
Demonstrated experience in analyzing high-throughput NGS sequencing data
Excellent communication skills and teamwork abilities
Ability to manage multiple projects and deadlines simultaneously
Attention to detail and a commitment to producing high-quality work
Experience with cloud computing and high-performance computing environments is a plus
Understanding of biological concepts and the ability to apply computational methods to biological problems
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Seniority level
Entry level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Internet Publishing
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