Senior Medical Research Scientist (Remote)
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Key skills for this role
About the Role
Hire Feed is seeking a Senior Medical Research Scientist for a remote contract role. The position involves designing and implementing technical frameworks for analyzing complex medical datasets, developing machine learning models for predictive diagnostics, and collaborating with cross-functional teams.
Key Skills for This Role
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 in real world settings
- Ensure technical solutions comply with regulatory standards, data privacy requirements, and ethical guidelines in medical research
- Document methodologies, results, and system architectures to support reproducibility, peer review, 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, including work with electronic health records, medical imaging, or bioinformatics pipelines
- Proficiency in 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 (HL7, FHIR), regulatory frameworks (HIPAA, GDPR), and compliance requirements
- Experience with cloud platforms (AWS, GCP) or containerized environments for deploying research grade computational tools
Full Job Posting
Role Overview
- This is a contractual role focused on advancing medical research through technical implementation.
- The position requires applying computational expertise to design, develop, and evaluate algorithms and systems that support clinical and biomedical data analysis.
- The work directly contributes to improving patient outcomes and accelerating medical discovery through data driven insights.
- Prior experience in applied research or technical roles within healthcare or life sciences is essential.
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 in real world settings.
- Ensure technical solutions comply with regulatory standards, data privacy requirements, and ethical guidelines in medical research.
- 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, including work with electronic health records, medical imaging, or bioinformatics pipelines.
- Proficiency in programming languages such as Python, R, or Julia, with experience using data science libraries (e.g., Pandas, NumPy, Scikit learn) 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 for medical data processing.
- 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.
- The position involves contributing to open source or proprietary systems that are used by clinicians, researchers, and data scientists worldwide.
- There is potential for long term collaboration on evolving platforms as medical AI applications expand in clinical practice.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
- Applications are reviewed solely on demonstrated technical ability and qualifications.
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