Jyotsna Jotshi

• Data ingestion and transformation for product development- biomarkers, pathways and drug intelligence.
• Design and implement biological data models for target validation and drug discovery applications
• Led technical due diligence efforts during data acquisitions, ensuring thorough opportunities from a scientific perspective.
• Develop data insight reports for use case development
• Establish translational research platforms bridging preclinical models with clinical outcomes
• Serve as trusted scientific advisor to senior management by providing expert input on key strategic decisions impacting research direction and product designing.

Tools: Python, MarkLogic, DBArtisan (SQL database), XMLspy,

• Automation for data mining, curation and transformation
• Clinical data consumption strategy development for stakeholders/clients
• Pipeline development for data consumption from multiple databases

Tools: Python, Git, Neo4j, CZ CELL X GENE, SCE Atlas

• Spearheading the development of an AI-ML based software platform -MANAV
• Reporting and presentation to multi-institutional stakeholders using Tableau
• Developing the program strategy, created project plans and saw through the execution
• Driving partnership with multiple stakeholders
• Development of annotation methodology for structuring biological information
• Machine learning based automation for data mining
• Strategy development for systematic annotations using manual and automated methods
• Management, query and retrieval of big biological data
• Data validation of predictive models

Tools: Python, Cytoscape, Tableau, X-Mind, BRAT, Hypothesis, Ontologies- within OLS, Sharepoint, Git

• Molecular profiling for precision cancer therapies
• Analysis and interpretation of clinical data
• Reporting and publishing clinical data

Tools: Python

• Translate results from bioinformatics pipelines (NGS, mRNASeq, Target Reporting) into new therapeutic concepts and biomarkers
• Analyze and interpret clinical data, maintenance and storage of the database including Quality Analysis and cleaning the data
• Statistical analyses of clinical data and preparation of thorough reports in accordance with internal guidelines and federal regulations
• Design project protocols in collaboration with multi-disciplinary team including physicians, pharmaceutical companies and researchers
• Molecular profiling for precision cancer therapies
• Create scientific documents and content for stakeholders
• Represent company at various national and international platforms

Tools: Illumina Bio-IT, Galaxy, UCSC Genome Browser, Open Targets, Ensembl VEP, Python

• Studied Molecular pathways regulating ovarian cancer cell plasticity and stem cell properties
• Mutational studies of Slug for functional annotation of the gene involved in cancer metastasis
• Gene sequencing using Sanger's and Ion torrent

Tools: Clustal W, BLAST, FASTA

• Mass scale multiplication of bacterial strains in bioreactors and process optimization
• Metabolic engineering of a bacterial strain to increase the carbon flux towards production of a metabolite of interest