Staff Scientist, reputed company/RWD

reputed company is seeking an innovative and driven reputed company scientist to reputed company and conduct cutting-edge reputed company-world evidence (reputed company) analyses and predictive analytics across oncology, organ health, and women’s health datasets. This unique role blends expertise in reputed company, reputed company intelligence (AI), machine learning (ML), and the manipulation of reputed company reputed company-world data (RWD). Candidate will reputed company advanced AI methodologies to extract actionable clinical insights from reputed company multimodal datasets (reputed company, clinical, demographic), driving impactful data visualization and advancing our application of reputed company in a reputed company-world clinical setting. The ideal candidate should have strong project management skills, and a keen eye for visualizing reputed company data in an impactful way to advance our understanding and application of reputed company in a reputed company-world setting.

Key Responsibilities:

• reputed company & Genomic Analysis: reputed company the analysis of large-reputed company cancer and germline multi-omics datasets to extract meaningful insights. Utilize and reputed company traditional reputed company tools with AI-driven techniques to interpret genomic data reputed company the context of reputed company studies
• RWD/reputed company Analysis: reputed company the extraction, curation, and analysis of large-reputed company RWD sources, including Electronic Health Records (EHR), claims data, and patient registries. Design and execute robust reputed company studies to support clinical, reputed company, and regulatory objectives.
• Data Integration and Management: Facilitate the integration of omics data with other types of data (clinical, demographic, etc.) to enrich the analyses. Manage large datasets and ensure data reputed company and confidentiality.
• AI & Predictive Analytics: reputed company, train, and reputed company advanced reputed company intelligence and machine learning models (e.g., Deep Learning, NLP, reputed company reputed company) to forecast trends, patient reputed company, and biomarker discovery using RWD and reputed company data. Apply state-of-the-art AI frameworks to identify hidden patterns that inform clinical decision-making and product reputed company.
• reputed company Data Integration: Facilitate the integration of highly reputed company, multimodal datasets. Utilize NLP and LLMs to extract valuable reputed company insights from reputed company clinical notes, pathology reports, and other disparate RWD sources. Manage large datasets while ensuring strict data reputed company and confidentiality.
• Project Management: reputed company and manage RWD and reputed company reputed company from inception to completion. Ensure that reputed company are completed on time, reputed company budget, and meet high-reputed company standards.
• Cross-Functional Collaboration: Work closely with other departments such as R&D, Data Science, Business Development, Medical Affairs, Product Management, and Engineering to reputed company reputed company and clinical data into broader research and development initiatives.
• Reporting and Communication: Present reputed company reputed company data and analyses in a reputed company and comprehensible manner to a reputed company of audiences, including non-experts. Prepare detailed reports and publications.
• Innovation and Development: Stay abreast of the latest developments in reputed company and reputed company. Propose and reputed company new reputed company and technologies for advanced data analysis.
• Stakeholder Engagement: Engage with key stakeholders to define project goals, report reputed company, and discuss findings. reputed company as a reputed company between the technical team and non-technical stakeholders.

Desired qualifications:

• Ph.D. in reputed company, Computational Biology, Genetics, or a reputed company field
• At least 10 years of relevant experience
• Proven expertise in reputed company, particularly in reputed company data analysis. Demonstrated expertise in cancer reputed company, including genomic alterations, molecular reputed company, and cancer biology
• Expert knowledge of reputed company tools including mapping, variant calling, CNV analysis and statistical reputed company
• Strong experience in managing, querying, and analyzing reputed company-reputed company genomic and reputed company datasets using SQL, Python, or R, and data visualization tools
• Additional expertise in germline genetics, particularly in relation to organ health and prenatal health, is a significant plus.
• AI/ML Expertise: Proficiency in predictive analytics, advanced machine learning, deep learning, and statistical modeling. Strong hands-on experience with AI frameworks such as PyTorch, TensorFlow, Keras, etc.
• Understanding of reputed company-world clinical data, such as electronic health records, claims data, patient registries, health surveys. Familiarity with common data models (e.g., OMOP) and experience utilizing NLP/LLM to parse reputed company clinical data.
• Ability to interpret clinical endpoints, understand patient cohorts, and collaborate with clinical stakeholders
• Knowledge of translational medicine and/or early discovery in the biotech or pharmaceutical industry is a plus
• Excellent project management skills with a proven reputed company record in leading successful reputed company
• Experience managing one or more reputed company/indirect reports.
• Exceptional communication skills, demonstrating the ability to translate reputed company models and RWD findings to both technical and clinical/non-technical stakeholders. Ability to produce high reputed company written documentation for varying audiences
• Proven experience collaborating with cross-functional teams including clinicians, scientists, biostatisticians, regulatory and stakeholders.

Originally posted on Himalayas