Research Data Scientist

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Contract to Hire Hours: Standard business hours Overview: Join a cutting-edge lab to discover novel therapeutics who are seeking a Research Data Scientist to provide advanced analytical and computational support for multidisciplinary biomedical research. This role will develop data pipelines, statistical models, and AI/machine learning approaches to analyze and integrate complex biological datasets, including multi-OMICs, imaging, virology, and other multimodal data. Responsibilities:Develop scalable, reproducible data analysis pipelines for complex biological datasets. Apply statistical modeling, machine learning, and AI for predictive analytics and pattern recognition. Integrate and analyze multi-OMICs, imaging, molecular, cellular, and other multimodal data. Partner with investigators on study design, data strategy, and analytical approaches. Maintain data quality, preprocessing, version control, and standardized workflows. Create visualizations, dashboards, reports, and analytical summaries. Support data infrastructure and collaborate across biology, engineering, and computational teams. Requirements:Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Statistics, Computer Science, or related field; Ph.D. preferred. 3+ years of relevant data analysis, statistical modeling, or computational research experience. Strong proficiency in Python and/or R and statistical analysis. Experience with large, complex datasets and reproducible computational pipelines. Strong analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications:Experience with multi-OMICs integration, machine learning/AI, advanced modeling, or quantitative imaging. Familiarity with cloud/HPC/big-data environments and data visualization. Biomedical or translational research experience. Experience contributing to scientific publications, grants, technical reports, or regulatory-aligned data frameworks. #M3 #LI-KM2 Ref: #558-Scientific

• Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Statistics, Computer Science, or related field; Ph.D. preferred.
• 3+ years of relevant data analysis, statistical modeling, or computational research experience.
• Strong proficiency in Python and/or R and statistical analysis.
• Experience with large, complex datasets and reproducible computational pipelines.
• Strong analytical, problem-solving, communication, and collaboration skills., * Experience with multi-OMICs integration, machine learning/AI, advanced modeling, or quantitative imaging.
• Familiarity with cloud/HPC/big-data environments and data visualization.
• Biomedical or translational research experience.
• Experience contributing to scientific publications, grants, technical reports, or regulatory-aligned data frameworks.