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, Higher Education.

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

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What You’ll Do

• Lead end-to-end transcriptomics analyses on research projects in a higher-education research setting, focusing on topics such as cancer metastasis and infectious disease.
• Process and curate expression matrices from multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, and spatial RNA-seq.
• Perform rigorous quality control and normalization, and apply appropriate statistical methods (including multiple-testing correction) for differential expression analysis.
• Conduct downstream analyses such as clustering and pathway enrichment to derive biological insights.
• Create publication-quality visualizations and figures for manuscripts, presentations, and grant submissions.
• Collaborate closely with wet-lab teams to interpret results and support experimental design and troubleshooting.
• Contribute to manuscript and grant writing as a data/analysis contributor.

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Minimum Qualifications

• Bachelor’s degree in biology, bioinformatics, computational biology, data science, or a related discipline.
• 1–3 years of applied experience analyzing transcriptomics or multi-omics datasets.
• Demonstrated experience with single-cell, bulk, or spatial transcriptomics workflows (end-to-end analysis, QC, normalization, differential expression, clustering).
• Strong attention to detail and an ability to work independently and communicate findings to interdisciplinary teams.
• Commitment to reproducible, well-documented analysis and preparation of publication-quality outputs.

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Preferred Qualifications

• Master’s degree (preferred) in a related field or equivalent coursework/experience in data sciences.
• Prior experience contributing to manuscripts, figures, or grant materials.
• Scientific curiosity, strong problem-solving skills, and ability to learn new methods and tools as needed.

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Compensation & Location

• Location: Boston, MA (on-site at the Confidential Client's Boston campus).
• Employment type: Full-time.
• Expected hiring range: $48,100 — $60,600 per year. The finalist’s salary will be set based on factors including departmental budgets, qualifications, experience, education, and internal pay equity. This posting provides the employer’s good-faith estimate of the possible compensation range to comply with applicable pay transparency requirements in Massachusetts.
• Reasonable accommodations are available for candidates with disabilities during the application process. Please let Careertakes know if you need assistance.

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Why Apply via Careertakes

• Careertakes is a third-party recruiting partner facilitating the search; if hired, you will be employed by the Confidential Client.
• Candidates submitted through Careertakes may be considered for additional matched opportunities on our platform.
• We follow best-practice screening and candidate support processes to ensure a fair, efficient hiring experience.

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Key Terms

• Employment type: FULL_TIME
• Industry: Higher Education
• Education required: Bachelor’s degree (Master’s preferred)
• Experience: 1–3 years in relevant analysis work

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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.