Associate Scientist, Computational Biology

Cabaletta Bio; Philadelphia (Philadelphia County); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

PTO

Stock options

Job summary

Cabaletta Bio is seeking an Associate Scientist, Computational Biology to build and maintain workflows that transform large biological datasets into analysis-ready information. The role collaborates with research, translational, manufacturing, and clinical teams to surface key questions and communicate clear summaries of analyses to stakeholders.

The candidate will mine data, develop interactive dashboards, and ensure rigorous documentation of methods, workflows, and SOPs.

Qualifications

• MS in computational biology, bioinformatics, CS, or related field with 1–2 years of experience; or a BS with demonstrated experience in computational analysis of biological data.
• Strong foundation in computer science, statistics, mathematics, and biology.
• Proficient in Python, with experience building automated scripts or pipelines.
• Ability to integrate, mine, analyze, visualize, and interpret data using computational and statistical tools.
• Meticulous and detail-oriented, with the ability to follow SOPs and document work clearly.
• Strong team orientation and a passion for continuous self-development.

Responsibilities

• Design, build, and maintain programmatic workflows to support computational biology tasks.
• Mine public and internal databases for relevant biological and disease-related information.
• Develop and automate interactive data visualizations and dashboards.
• Perform correlative analyses and produce clear summary reports for scientific and non-scientific audiences.
• Communicate results and recommendations to stakeholders.
• Maintain thorough documentation of workflows and analytical methods per SOPs.

Skills

Python

Data analysis

SOP documentation

Team collaboration

Continuous self-development

Education

MS in computational biology

BS with relevant experience

Tools

Git

Airflow

Nextflow

LangChain

AutoGen

Job description

Associate Scientist, Computational Biology

Hybrid/Philadelphia, PA

About the Position

The Associate Scientist, Computational Biology will build and maintain programmatic and agentic workflows that clean, transform, and merge large, feature-rich datasets — primarily flow cytometry, MSD, and dPCR data — into analysis-ready information. Working under the guidance of senior computational biology staff, they will collaborate with Research, Translational, Manufacturing, and Clinical teams to visualize and correlate data across the organization, surface key scientific questions, and communicate clear summaries of their analyses to stakeholders.

Responsibilities Include

• Design, build, and maintain programmatic and agentic workflows to support recurring computational biology tasks, including cleaning, transforming, and merging large-scale biological datasets with many features.
• Mine public and internal databases for relevant biological and disease-related information.
• Develop and automate interactive data visualizations and dashboards.
• Perform correlative analyses and produce clear, intuitive summary reports of data exploration and analyses for scientific and non-scientific audiences.
• Communicate results and recommendations to stakeholders, including scientific colleagues and collaborators.
• Maintain thorough documentation of workflows and analytical methods in accordance with SOPs.

Required Qualifications

• MS in computational biology, bioinformatics, computer science, or a related field plus 1–2 years of relevant experience; or a BS with additional demonstrated experience in computational and programmatic analysis of biological data.
• Strong foundation in computer science, statistics, mathematics, and biology.
• Proficient in Python, with experience building automated scripts or pipelines.
• Demonstrated ability to integrate, mine, analyze, visualize, and interpret data using computational and statistical tools.
• Meticulous and detail-oriented, with the ability to follow complex operating procedures (SOPs) and thoroughly document work.
• Strong team orientation and a passion for continuous self-development.

Preferred Qualifications

• Experience designing agentic or LLM-driven workflows — whether through structured instructions/prompts, orchestration frameworks (e.g., LangChain, AutoGen), or direct API integrations.
• Familiarity with software engineering best practices (e.g., version control/Git, code review, testing).
• Familiarity with cloud computing environments (AWS, GCP, or Azure) and workflow orchestration tools (e.g., Airflow, Nextflow).
• Experience with data analysis and machine learning techniques.
• Experience with traditional bioinformatics analysis (e.g., genomic, transcriptomic, or proteomic data) and multi-omics data integration.
• Experience in an industry or startup setting is preferred.

• Our most important asset is our people and we offer competitive benefits including health and retirement, PTO, and stock option plans.

Equal Opportunity Employer

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.