Bioinformatics Specialist I, Cancer Center
- (3281785)We are seeking an excellent Bioinformatics Specialist to play a pivotal role in our groundbreaking cancer research initiatives at the Investigational Cancer Therapeutics (ICT) team and Gulhan Lab at MGH. This unique role involves pioneering work in understanding resistance and response mechanisms for novel cancer treatments using advanced computational methods. The successful candidate will join this effort as a member of Gulhan Lab at Mass General Cancer Center, a fully computational lab aiming to interpret cancer genomes and enhance personalized cancer treatment strategies. Holding a bachelor’s or master’s degree in a relevant STEM field at the position's start date is required. The ideal candidate will have a strong background in cloud services, data processing, and analytics.
Scientific and Career Opportunities
- Pioneer in understanding the resistance and response mechanisms for novel cancer treatments
- Work with the Investigational Cancer Therapeutics (ICT) team at Termeer Targeted Therapy Center at MGH. In ICT, multiple exceptional computational biology, oncology, and molecular biology labs join forces to understand response and resistance mechanisms of novel cancer treatments using multi-omics, clinical, pathological and radiographical data collected in first-time-in-human clinical trials.
- Have the unique opportunity to study extensive sequential and multi-regional DNA sequencing datasets from solid and liquid biopsies in conjunction with multi-modal information clinical and pathological information.
- Through the close guidance from the PI, the trainees at our lab gain technical expertise in computational biology, while simultaneously working at the front-line of clinical research and they build a wide network of collaborations with clinical teams.
https://www.massgeneral.org/cancer-center/clinical-trials-and-research/center-for-cancer-research/investigators/gulhan-lab
- Design, develop, and maintain scalable and reliable cloud computing solutions.
- Implement and manage data processing pipelines for large-scale datasets.
- Work with various cloud platforms such as Google Cloud and AWS.
- Optimize data processing workflows for efficiency and speed.
- Build and deploy genomics pipelines for analysis and annotation of somatic variants from whole-exome and whole-genome data (SNVs, indels, copy number, and structural variants)
- Develop strategies for noise-cleaning in clinical genomic sequencing data for robust and accurate inference of characteristics of cancer genomes and their time evolution.
- Contribute to the data engineering effort to combine sequencing and clinical data from multiple sources such as liquid biopsies, solid tumor biopsies from fresh tissue and solid biopsies collected by the rapid autopsy program to provide a holistic view of each patient’s disease.
- Collaborate with cross-functional teams to integrate cloud solutions.
- Ensure security and compliance standards are met in all cloud and data operations.
Qualification/Requirements:
- A Bachelor’s degree is required before the anticipated start date (05/01/2024).
- Computer programming (Python, R, Java, Scala, C++ or equivalent, with Python and R experience strongly preferred)
- Prior track record of producing high-quality software and computational pipelines.
- Ability to work in a highly collaborative and intellectually challenging environment.
- Excellent oral and written communication skills.
- Cloud computing
- Linux (Ubuntu/RedHat/Centos) and computer cluster systems using LSF/slurm
- Bioinformatics tools (e.g. BWA-MEM, STAR, GATK, Mutect2, SAMtools, Picard Tools, bedtools)
Massachusetts General Hospital is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.