About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Scientific & QA.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

Confidential Client is hiring a Research Data Analyst I to support laboratory and computational research in immunology and autoimmune disease research. This entry-level research data role will support data management, basic bioinformatics pipelines, and data visualization for projects including genetic risk scores, PhIP-Seq, single-cell RNA-seq, and ATAC-seq.

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What You’ll Do

• Gather, clean, and organize research datasets from multiple experimental pipelines.
• Run established analysis pipelines and follow standard programming procedures to process data.
• Assist with single-cell RNA-seq and ATAC-seq data preprocessing and basic analyses.
• Assist with PhIP-Seq data processing and large dataset handling.
• Prepare figures, tables, and summaries to support proposals, protocols, manuscripts, and presentations.
• Maintain research data collection, retrieval, and reporting systems; document workflows and code.
• Contribute to data science research activities and predictive-analytics tasks under supervision.
• Create and maintain scripts and small-scale programs in support of reproducible analyses.
• Collaborate with interdisciplinary teams and communicate results clearly to technical and non-technical stakeholders.

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Qualifications

Required

• Bachelor's degree in a related field (biological sciences, computer science, data science) or equivalent experience/training.
• Direct hands-on experience in bioinformatics or computational biology research.
• Proficiency in both Python and R.
• Familiarity with basic data science workflows and statistical modeling.
• Ability to manage time effectively and deliver assigned project segments on deadline.
• Good written and verbal communication skills for explaining technical results to collaborators.

Preferred / Additional

• Experience with single-cell RNA-seq and ATAC-seq data workflows.
• Experience with PhIP-Seq or other high-throughput immunopeptidomics data.
• Familiarity with data storage, documentation, and version-controlled codebases.
• Strong organizational skills and ability to work independently and in interdisciplinary teams.

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Skills & Tools

• Python (pandas, numpy, scanpy/Seurat interfaces)
• R (tidyverse, ggplot2)
• Basic experience with single-cell and bulk sequencing pipelines
• Experience handling large datasets and reproducible analysis workflows
• Basic statistical modeling and experience with predictive analytics/AI techniques

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Education

• Bachelor’s degree in a related area and/or equivalent experience/training.
• Coursework in biological sciences and computer science recommended.

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Compensation & Location

• Estimated salary: $48,312 per year (estimated from source posting).
• Location: South San Francisco, CA (on-site / local research lab).

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Why Work Here

• Opportunity to grow applied bioinformatics skills across multiple experimental modalities.
• Join an interdisciplinary research environment and support publications and proposals.
• Mentorship and on-the-job training to expand your computational biology skillset.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.