Cabaletta Bio (Nasdaq: CABA) is a clinical-stage biotechnology company focused on developing and launching the first curative targeted cell therapies designed specifically for patients with autoimmune diseases. The CABA™ platform encompasses two complementary strategies which aim to advance the discovery and development of engineered T cell therapies with the potential to become deep and durable, perhaps curative, treatments for a broad range of autoimmune diseases. The lead CARTA (Chimeric Antigen Receptor T cells for Autoimmunity) strategy is prioritizing the development of rese-cel, a 4-1BB-containing fully human CD19-CAR T cell investigational therapy. Rese-cel is currently being evaluated in the RESET™ (REstoring SElf-Tolerance) clinical development program spanning multiple therapeutic areas, including rheumatology, neurology and dermatology. Cabaletta Bio’s headquarters and labs are located in Philadelphia, PA. For more information, please visit www.cabalettabio.com and connect with us on LinkedIn. Cabaletta Bio’s headquarters and labs are located in Philadelphia, PA.
For more information, visit www.cabalettabio.com and follow us on LinkedIn and X (Twitter).
Uniquely Differentiated. Rapid. Elegant
At Cabaletta, we are driven by the shared mission of developing cures, where a patients’ own cells are used to fight disease. We are building a culture grounded in the knowledge that successful cures can be achieved for patients if every member of the Cabaletta is focused on the success of the team. To nurture this, we make an active commitment to the well-being and continuous growth of each employee who joins the team. In this way, we are not only working to improve the lives of patients, but of everyone involved. #CabalettaCrew.
We’re proud to be a Great Place to Work-Certified™ company! #GPTWcertified Check out what our employees say makes working here so great: Working at Cabaletta Bio Inc | Great Place to Work®
About the position
The Senior Research Associate, Computational Biology will support the automation of data visualizations and correlative analyses across various company datasets. They will collaborate with Research, Translational, Manufacturing, and Clinical groups to understand these datasets and identify key questions. Additionally, they will produce summaries of data analyses and communicate findings to key stakeholders.

Responsibilities:

• Combining data from different datasets and performing exploratory analyses to uncover patterns and trends.
• Use computational models and algorithms to analyze genomic, transcriptomic, proteomic, and other biological data.
• Mining public databases for relevant biological information.
• Communicating results to stakeholders, including scientific colleagues and collaborators.
• Produce intuitive summary reports of data exploration and analyses.
• Collaborate with data owners to manage data sets and set data standards.
• Develop and automate interactive data visualizations.
• Collaborate with biologists and provide analytical support
• Analyzing and interpreting data to identify key biological pathways and processes that are relevant to a particular disease or biological system.

Qualifications:

• BA or MS degree with 2 - 3 years of experience in computational biology or a related field is required.
• Strong background in computer science, statistics, mathematics, and biology.
• Proficient in programming languages such as Python and R
• Have experience with data analysis and machine learning techniques.
• Demonstrated ability to integrate, mine, analyze, visualize, and interpret data using computational and statistical tools.
• Meticulous and detail-oriented, ability to follow complex operating procedures (SOPs) with thorough documentation of work.
• Experience in the analysis and integration of multi-omics data (e.g. transcriptomics and proteomics) is a plus.
• Strong team orientation and passion for continuous self-development.
• Experience in industry or in a startup industrial setting is preferred.
• Excellent communication and collaboration skills.

Our name – Cabaletta – is derived from the operatic term that represents a rapid, repetitive, and technically challenging section of an operatic aria, designed to showcase the skills of the lead singer. Analogously, Cabaletta Bio strives to achieve rapid and repetitive product development, building on our indication prioritization and biologic platform that targets the driver of specific autoimmune diseases without the need for long-term immunosuppression.
For more information, please visit https://www.cabalettabio.com/join-our-crew
Our most important asset is our people, and we offer competitive benefits, PTO, and stock option plans.
Cabaletta Bio is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law.
Cabaletta Bio, Inc. does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with Cabaletta, a Master Services Agreement (MSA) must be executed and confirmed prior to submitting any information relating to a potential candidate. Without a signed MSA, Cabaletta shall not be responsible to any individual or entity for any payment relating to any form of fee or compensation.
And, if a resume or candidate is submitted by a recruiter, an employment agency, or a staffing firm without a fully executed MSA, Cabaletta has the unrestricted right to pursue and hire any of those candidate(s) without any legal or financial responsibility to the recruiter, agency, and/or firm.

• Combining data from different datasets and performing exploratory analyses to uncover patterns and trends.
• Use computational models and algorithms to analyze genomic, transcriptomic, proteomic, and other biological data.
• Mining public databases for relevant biological information.
• Communicating results to stakeholders, including scientific colleagues and collaborators.
• Produce intuitive summary reports of data exploration and analyses.
• Collaborate with data owners to manage data sets and set data standards.
• Develop and automate interactive data visualizations.
• Collaborate with biologists and provide analytical support
• Analyzing and interpreting data to identify key biological pathways and processes that are relevant to a particular disease or biological system