Scientist

Neosoft Digital Pvt Ltd; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Neosoft Digital Pvt Ltd is seeking a senior specialist to lead biomarker and translational analyses that drive clinical development programs. You will design quantitative models, integrate diverse omics data, and partner with biology, clinical science, and data engineering teams to deliver actionable insights.

You will translate complex clinical questions into robust analysis plans, leverage AI to accelerate discovery, and communicate findings to stakeholders across US and EU time zones in a

Responsibilities

• Design, execute, and interpret biomarker and translational analyses to support clinical development programs, including target engagement and stratification, pharmacodynamic modeling, patient stratification, mechanism of action validation, indication selection, and benefit–risk assessments.
• Develop and apply robust analytical workflows for high-content, multi-modal clinical data, including bulk and single-cell genomics, transcriptomics, proteomics, metabolomics, epigenomics, spatial omics, imaging, and emerging assay modalities.
• Translate complex biological and clinical questions into quantitative analysis plans, statistical models, and computational frameworks that generate actionable insights.
• Integrate internal clinical trial data with external datasets to contextualize findings and inform program strategy.
• Contribute to portfolio-level analyses and cross-asset learnings through data mining, visualization, and knowledge discovery approaches.
• Partner with biologists, clinicians, assay scientists, and data engineering teams to ensure analytical rigor, data quality, and scientific relevance.
• Clearly communicate analytical approaches, assumptions, limitations, and conclusions to diverse audiences through written reports, presentations, and cross-functional forums.
• Operate effectively in a global, matrixed environment with collaboration across time zones (US and EU).
• Strategically leverage AI to enhance speed, accuracy and insightfulness of results, integrating relevant findings from the public domain.
• Familiarity with clinical biomarker platforms and data types such as NGS, flow cytometry, IHC, immunoassays, imaging, and transcriptional profiling.
• Demonstrated experience analyzing complex, large-scale biological data.

Job description

Key Responsibilities

• Design, execute, and interpret biomarker and translational analyses to support clinical development programs, including target engagement & stratification, pharmacodynamic modeling, patient stratification, mechanism of action validation, indication selection, and benefit–risk assessments.

• Develop and apply robust analytical workflows for high-content, multi-modal clinical data, including bulk and single-cell genomics, transcriptomics, proteomics, metabolomics, epigenomics, spatial omics, imaging, and emerging assay modalities.

• Translate complex biological and clinical questions into quantitative analysis plans, statistical models, and computational frameworks that generate actionable insights.

• Integrate internal clinical trial data with external datasets (e.g., public omics resources, real-world data, literature-derived knowledge) to contextualize findings and inform program strategy.

• Contribute to portfolio-level analyses and cross-asset learnings through principled data mining, visualization, and knowledge discovery approaches.

• Partner closely with biologists, clinicians, assay scientists, and data engineering teams to ensure analytical rigor, data quality, and scientific relevance.

• Clearly communicate analytical approaches, assumptions, limitations, and conclusions to diverse audiences through written reports, presentations, and cross-functional forums.

• Operate effectively in a global, matrixed environment, including regular collaboration across time zones with US- and EU-based teams.

• Strategically leverage AI to enhance speed, accuracy and insightfulness of results, maximally integrating relevant findings in the public domain.

• Familiarity with clinical biomarker platforms and data types, such as NGS, flow cytometry, IHC, immunoassays, imaging, and transcriptional profiling.

• Demonstrated experience analyzing complex, large-scale biological.