Senior Medical Research Scientist (Remote)
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Key skills for this role
About the Role
Hire Feed is looking for a Senior Medical Research Scientist to apply computational expertise to design and evaluate algorithms for clinical and biomedical data analysis. The role involves developing machine learning models, collaborating with research teams, and ensuring regulatory compliance.
Key Skills for This Role
Responsibilities
- Design and implement technical frameworks to process, analyze, and interpret complex medical datasets
- Develop and validate machine learning models or statistical methods for predictive diagnostics, treatment optimization, or drug discovery
- Collaborate with cross functional research teams to integrate computational solutions into clinical workflows
- Ensure technical solutions comply with regulatory standards, data privacy requirements, and ethical guidelines
- Document methodologies, results, and system architectures to support reproducibility and regulatory submissions
Requirements
- Master's degree or higher in Computer Science, Biomedical Engineering, Bioinformatics, Data Science, or related field
- Minimum 5 years of hands on experience developing software for medical research
- Proficiency in Python, R, or Julia with data science libraries and ML frameworks
- Strong background in statistical modeling, experimental design, or causal inference
- Familiarity with healthcare data standards (HL7, FHIR) and regulatory frameworks (HIPAA, GDPR)
- Experience with cloud platforms (AWS, GCP) or containerized environments
Full Job Posting
Role Overview
- This is a contractual role focused on advancing medical research through technical implementation.
- Requires applying computational expertise to design, develop, and evaluate algorithms and systems for clinical and biomedical data analysis.
- Work directly contributes to improving patient outcomes and accelerating medical discovery.
Key Responsibilities
- Design and implement technical frameworks to process, analyze, and interpret complex medical datasets including imaging, genomic, or electronic health records.
- Develop and validate machine learning models or statistical methods for predictive diagnostics, treatment optimization, or drug discovery applications.
- Collaborate with cross functional research teams to integrate computational solutions into clinical workflows and validate performance.
- Ensure technical solutions comply with regulatory standards, data privacy requirements, and ethical guidelines.
- Document methodologies, results, and system architectures to support reproducibility, peer review, and regulatory submissions.
Required Skills & Qualifications
- Master’s degree or higher in Computer Science, Biomedical Engineering, Bioinformatics, Data Science, or a related field.
- Minimum of 5 years of hands on experience developing software for medical research.
- Proficiency in programming languages such as Python, R, or Julia, with experience using data science libraries and machine learning frameworks.
- Strong background in statistical modeling, experimental design, or causal inference applied to clinical or biomedical data.
- Familiarity with healthcare data standards (e.g., HL7, FHIR), regulatory frameworks (e.g., HIPAA, GDPR), and compliance requirements.
- Experience with cloud platforms (e.g., AWS, GCP) or containerized environments for deploying research grade computational tools.
More About the Opportunity
- This role supports global initiatives in precision medicine by enabling scalable, reproducible research workflows.
- Involves contributing to open source or proprietary systems used by clinicians, researchers, and data scientists worldwide.
- Potential for long term collaboration on evolving platforms as medical AI applications expand.
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