Computational Research Technician

The Liu Lab at the Ragon Institute of MGH, MIT, and Harvard is seeking a full-time Computational Research Technician to join our interdisciplinary team focused on understanding the immune system using cutting-edge technologies like spatial transcriptomics, long-read sequencing, and synthetic biology. We are looking for someone with a background in computer science, computational biology, or a related field who is excited to contribute to impactful biological discoveries. The primary responsibilities of this role include performing analyses on spatial transcriptomic and long-read sequencing datasets, generating high-quality figures, and helping to build computational packages and pipelines for publication. Interest in or prior experience in deep learning is a plus. In addition, the technician will play a key role in maintaining and supporting our lab’s computational infrastructure, including managing data storage, organizing code and pipelines, and working with other lab members. We are a collaborative, energetic group, and this position is ideal for someone who enjoys problem-solving, learning new tools, and working at the intersection of computation and biology. This is also a great fit for someone considering future graduate studies in computational biology or bioinformatics.

Job Description Summary:

Responsible for maintaining laboratory equipment, organizing and preparing samples, conducting experiments, and recording and analyzing data.


Essential Functions:
-Perform laboratory experiments following established protocols and procedures. 
-Prepare and handle samples, reagents, and solutions, ensuring accuracy and adherence to safety guidelines. 
-Operate and maintain laboratory equipment and instruments, conducting routine calibration and troubleshooting as needed. 
-Record experimental data accurately and maintain organized records of procedures, protocols, and results. 
-Compile and analyze data using appropriate statistical and analytical methods. 
-Assist in data interpretation and presentation, contributing to research findings and reports.

Education:
High School Diploma or Equivalent required and Bachelor's Degree Biology preferred


Experience:
Prior laboratory experience, either through academic coursework, internships, or employment. 1-2 years preferred

Knowledge, Skills and Abilities:
- Strong theoretical and practical knowledge of laboratory techniques and procedures.
- Familiarity with common laboratory equipment and instruments used in research experiments.
- Proficiency in data collection, analysis, and scientific software tools.
- Excellent attention to detail, organizational skills, and the ability to multitask and prioritize tasks effectively.
- Strong problem-solving skills and the ability to troubleshoot technical issues.
- Excellent written and verbal communication skills to effectively convey experimental procedures, results, and challenges.