Biomedical Data Analyst
The Biomedical Data Analyst at Confidential Client will analyze large-scale 3D fluorescence microscopy datasets to support research and industrial applications. This role involves running and validating analyses, troubleshooting, collaborating with cross-functional teams, and improving image-analysis pipelines to deliver high-quality quantitative results for internal and external scientific partners in a dynamic startup environment.
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, Biotechnology Research.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Position Overview
Confidential Client is seeking a motivated Biomedical Data Analyst to support analysis of large-scale 3D fluorescence microscopy datasets. You will collaborate with tissue processing, image acquisition, and Contract Research teams to run and validate analyses, troubleshoot issues, and deliver high-quality quantitative results for internal teams and external scientific partners.
Salary: $90,000–$105,000 per year (listed range reflects the Confidential Client's published compensation for this role in Massachusetts).
What You’ll Do
- Run, validate, and troubleshoot image-analysis workflows for Contract Research projects to ensure accurate, timely results
- Perform quality control on analysis outputs and document validation steps
- Collaborate with cross-functional teams (wet lab, imaging, and project managers) to integrate data and streamline handoffs
- Communicate analytical findings clearly to technical and non-technical stakeholders
- Maintain and improve components of image-analysis pipelines for large-scale 3D fluorescence microscopy datasets
- Support development of data engineering workflows (database management, ETL, and scalable storage/processing for large imaging datasets)
Qualifications
- Bachelor’s degree in computer science, bioengineering, computational biology, electrical engineering, or a related field
- Hands-on experience with image processing for biological/biomedical applications
- Proficiency using Python for data science, scientific computing, automation, and image analysis
- Strong problem-solving skills, attention to detail, and ability to work effectively on a team
- Comfortable working across multiple concurrent projects in a fast-paced environment
- Excellent verbal and written communication skills
Preferred Qualifications
- Familiarity with light microscopy, neuroscience, and immunohistochemistry
- Experience with software engineering best practices (version control, testing, code review)
- Exposure to machine learning/deep learning frameworks such as PyTorch or TensorFlow
- Experience building or maintaining data engineering / analysis pipelines for large datasets
Benefits & Compensation
- Salary range: $90,000–$105,000 per year
- Competitive salary and full insurance package for full-time employees
- Flexible time off
- 401(k) benefits
- Professional development and opportunities to collaborate with academic and industry research partners
Location & Legal / Hiring Notes
- This role is located in Cambridge, MA. Candidates should be able to work from the Cambridge area as required by project needs.
- Careertakes and our client comply with all applicable U.S. federal, state, and local employment laws. Reasonable accommodations are available for applicants with disabilities; please let us know if you require an accommodation during the hiring process.
- Candidates must be legally authorized to work in the United States; the Confidential Client may request proof of eligibility as permitted by law.
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.
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