Research Scientist

Innodata Inc.; United States; Remote; USD 100,000 - 175,000; Full time

Job summary

A leading company is seeking a Research Scientist with a Ph.D. in Computer Science to work on a short-term project focused on deep learning techniques for medical image analysis. The role involves formulating research questions, evaluating AI outputs, and collaborating with a multidisciplinary team. Ideal candidates will have a strong background in cancer detection and a proven research record.

Qualifications

• Proven research expertise in deep learning for medical image analysis.
• Experience with cancer detection, vascular modeling, or related domains.

Responsibilities

• Formulate research questions related to LLM models and AI applications.
• Evaluate AI outputs based on pre-defined criteria.
• Conduct literature reviews and synthesize key findings.

Skills

Deep Learning

Analytical Skills

Collaboration

Education

Ph.D. in Computer Science

Job description

Direct message the job poster from Innodata Inc.

Head HR - CoE | Talent & Global Sourcing at Innodata Inc.

We are seeking a highly motivated Research Scientist, with a Ph.D. in Computer Science, Information Technology, or a related field. The ideal candidate will have a strong background in deep learning techniques, particularly applied to medical image analysis for early cancer detection, diagnosis, and treatment planning.

This position requires a commitment of 6 to 8 hours per day until the project’s conclusion and involves close collaboration with a multidisciplinary team.

Job Title: Research Scientist - Deep Learning in Medical Image Analysis (Short-Term Project)

Location: Remote

Key Responsibilities:

• Formulate research questions related to LLM models and AI applications.
• Evaluate AI outputs based on pre-defined criteria.
• Conduct literature reviews and synthesize key findings.
• Analyze results and provide actionable recommendations.
• Collaborate with team members to refine AI performance.
• Assist in compiling a final report of research findings and evaluations.

Qualifications:

• Ph.D. in a relevant field.
• Proven research expertise in deep learning for medical image analysis.
• Experience with cancer detection, vascular modeling, or related domains.
• Strong publication record and analytical skills.
• Ability to work collaboratively and meet time-sensitive goals.

Seniority level

• Mid-Senior level

Employment type

• Temporary

Job function

• Research, Science, and Education

Industries

• Biotechnology Research and Research Services

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