Sr. Scientist

Sr. Scientist Real-World Evidence - Chronic Kidney Disease and Rare Disease Location: San Carlos, CA, Austin, TX, or Remote, USA Sr. Scientist -CKD and rare disease Job Summary Cobalt Streamworks is seeking an innovative and driven bioinformatics scientist to lead and execute cutting- edge "real-world evidence" (RWE) analyses and predictive modeling across key areas of Organ Health, Rare Disease, and Women‘s Health. This unique role requires a blend of expertise in bioinformatics, strong project management skills, and a dedication to impactful data visualization to advance our understanding and application of genomics in a real-world clinical setting.Key Responsibilities ● RWE and Bioinformatics Analysis: Lead large-scale genomics data analysis, specifically in Chronic Kidney Disease (CKD), to extract actionable insights. Apply advanced bioinformatics tools and techniques to interpret genomic data within the context of RWE studies. ● Predictive Analytics & Modeling: Develop and implement robust predictive models to forecast clinical trends and outcomes using RWE and genomics data. Utilize machine learning and statistical modeling to uncover patterns that inform clinical decision-making and strategic business development. ● Data Visualization and Communication: Create and implement innovative data visualization strategies to effectively communicate complex genomic analysis results. Utilize tools like R, R Shiny, or Python libraries (e.g., Matplotlib, Seaborn) to build intuitive, interactive, and impactful visual representations. ● Project Leadership: Own and manage genomics projects from initial concept through to final delivery, ensuring all initiatives are completed efficiently (on time and within budget) while maintaining the highest quality and scientific standards. ● Cross-Functional Partnership: Collaborate closely with Sales, R&D, Data Science, Business Development, Medical Affairs, Product Management, and Engineering to seamlessly integrate genomics data into broader research and development initiatives. ● Data Stewardship: Facilitate the integration of genomics data with diverse data types (e.g., clinical and demographic) to enrich analyses. Oversee the management of large datasets, ensuring data integrity, security, and confidentiality. ● Reporting and Publication: Prepare detailed reports and manuscripts for publication. Present complex genomics data and analyses in a clear, concise manner to varied audiences, including technical experts and non-technical stakeholders. ● Innovation and Development: Maintain current knowledge of the latest developments in genomics and bioinformatics. Propose and develop novel methods and technologies for advanced data analysis and predictive modeling. ● Stakeholder Engagement: Act as a key liaison between the technical team and non- technical partners, engaging with stakeholders to define project goals, communicate progress, and discuss findings that drive the business forward. Qualifications ● Ph.D. in Bioinformatics, Computational Biology, Genetics, or a closely related field. ● A minimum of 5 years of post-doctoral or professional experience in a relevant field. ● Proven expertise in bioinformatics, with a strong emphasis on genomics data analysis. ● Extensive experience managing and analyzing large-scale genomic and healthcare datasets. ● Demonstrated expertise in human genomics, including familiarity with inherited disorders, genomic alterations, molecular mechanisms, and disease biology. ● Expert knowledge of bioinformatics tools for data processing, including mapping, variant calling, CNV analysis, and core statistical methods. ● Solid understanding of real-world data (RWD) sources such as electronic health records, claims data, patient registries, or health surveys. Ability to interpret clinical endpoints, understand patient cohorts, and successfully collaborate with clinical stakeholders. ● Proficiency in predictive analytics, machine learning, and statistical modeling is required. ● Excellent project management skills with a proven record of leading successful, complex projects. ● Proficiency in programming languages such as Python or R, SQL, and data visualization tools. ● Exceptional written and verbal communication skills for both technical and non-technical audiences. ● Proven experience collaborating effectively with diverse cross-functional teams, including clinicians, scientists, biostatisticians, regulatory affairs, and external stakeholders. ● Experience managing one or more direct or indirect reports is a plus. ● Knowledge of translational medicine and/or early discovery in the biotech or pharmaceutical industry is a plus. Personal Attributes ● Ability to produce high-quality written documentation for varying audiences. ● Demonstrated capacity to work independently while effectively managing multiple objectives and timelines. ● A desire to work in a fast-paced environment with the potential for high impact as part of a small, dynamic team. ● Additiona