5 Statistical Principles Jobs

Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions with exceptional growth exceeding 4x year over year, positioning our solution as a disruptive technology. Our team is expanding, and we are seeking forward-thinking, uncompromising, and competitive team members to support our continued growth. Founded in 2015, Netradyne is a technology company specializing in Artificial Intelligence, Deep Learning, and Edge Computing to deliver innovative solutions to the transportation industry. Our technology is currently utilized in numerous vehicles across various terrains, ranging from passenger cars to semi-trailers on interstates, suburban roads, rural highways, and even off-road environments. We are looking for talented engineers to join our Analytics team, which consists of graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, UCSD, and more. Our team focuses on developing cutting-edge AI solutions to enable drivers and fleets to identify unsafe driving scenarios in real-time, ultimately preventing accidents and reducing fatalities and injuries. **Job Title:** Senior AI Platform Product Manager **Location:** Bangalore **Department:** Product Management **Reports To:** Director **About the Role:** As a Senior AI Platform Product Manager at Netradyne, you will be responsible for leading the development and ongoing enhancement of our AI-driven platform. This role emphasizes the importance of ensuring robust, consistent, and accurate AI features through close collaboration with cross-functional teams. The ideal candidate will possess strong domain knowledge in machine learning, particularly in computer vision, and will drive initiatives to improve our platform's AI capabilities and analytics features. **Key Responsibilities:** - **Safety Feature Development:** Drive the creation of new AI-driven safety features in collaboration with international and Indian fleet clients, aligning feature development with customer needs and market opportunities. - **AI KPI Management:** Measure machine learning algorithms using key performance indicators (KPIs) like precision, recall, and false positive rate. Apply statistical principles to ensure unbiased performance evaluations and collaborate with the Analytics Operations team for comprehensive analysis. - **Continuous Improvement Initiatives:** Lead continuous improvement efforts with the ML Infrastructure team to achieve over 99% model accuracy. Prioritize enhancements based on current KPIs and collaboration with ML Infra Product Experts. - **User Experience:** Collaborate with the UX team to improve customer interactions through video annotation, alert decoration, and feature configurations. - **Release Management:** Oversee roadmap enhancements for release cycles, ensuring accurate release notes and coordinating with the technical documentation team for customer-facing communications. - **Compliance and Best Practices:** Review all AI Product Management PRDs to ensure alignment with platform standards and best practices. - **Mentorship:** Provide mentorship to junior product managers, fostering a culture of learning and collaboration within the team. **Skills:** - Strong analytical skills for data evaluation, risk assessment, and decision-making. - Excellent communication skills tailored to various audiences, including engineering, marketing, support, and leadership. - Ability to lead cross-functional teams and drive complex projects to completion. **Qualifications and Experience:** - Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred. - Minimum of 10 years of technology experience, with at least 5 years in Product Management focusing on AI-driven platforms. - Deep understanding of machine learning, computer vision, and statistical principles. - Experience with product management tools like JIRA, Confluence, or similar. - Proven track record of collaborating with international teams and flexibility to accommodate different time zones, including evening IST meetings. - Experience in video telematics and fleet management is advantageous. If your experiences and skills align with our requirements, we will reach out to you directly. Netradyne is proud to be an equal-opportunity employer, and we do not entertain inquiries from recruitment agencies. **Recruitment Fraud Alert:** Please be cautious of fraudulent recruitment activities. To explore and apply for our available job opportunities, visit Netradyne's careers page at Netradyne.com/company/careers. For guidance on avoiding and reporting scams, refer to the Federal Trade Commission's job scams website.,

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions, experiencing growth exceeding 4x year over year. Our solution is quickly gaining recognition as a significant disruptive technology. As our team expands, we are seeking forward-thinking, uncompromising, and competitive team members to support our continued growth. Founded in 2015, Netradyne is a technology company specializing in Artificial Intelligence, Deep Learning, and Edge Computing to deliver innovative solutions to the transportation industry. With technology deployed in thousands of vehicles, our customers operate a wide range of vehicles in various environments. Netradyne is currently looking for talented engineers to join our Analytics team, which consists of graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, UCSD, etc. Our team focuses on developing cutting-edge AI solutions to help drivers and fleets identify unsafe driving scenarios in real-time, thus preventing accidents and reducing fatalities/injuries. **Job Title:** Senior AI Platform Product Manager **Location:** Bangalore **Department:** Product Management **Reports To:** Director **About the Role:** We are in search of an experienced Senior AI Platform Product Manager to lead the development and continuous enhancement of our AI-driven platform. This role involves ensuring robust, consistent, and accurate AI features through close collaboration with cross-functional teams. The ideal candidate will possess strong domain knowledge in machine learning, particularly in computer vision, and will spearhead initiatives to improve our platform's AI capabilities and analytics features. **Key Responsibilities:** - **Safety Feature Development:** Drive the creation of new AI-driven safety features in collaboration with international and Indian fleet customers. Inspire innovation and align feature development with customer requirements and market opportunities. - **AI KPI Management:** Understand and evaluate machine learning algorithms using key performance indicators (KPIs) like precision, recall, and false positive rate. Apply statistical principles for unbiased and accurate performance assessments and collaborate with the Analytics Operations team for root cause analysis of ML observations. - **Continuous Improvement Initiatives:** Lead ML continuous improvement (CI/CD) efforts with the ML Infrastructure team, striving for 99%+ model accuracy. Prioritize enhancements based on current KPIs and collaboration with ML Infra Product Experts. - **User Experience:** Collaborate with the UX team to enhance customer interactions through video annotation, alert decoration, and feature configurations. - **Release Management:** Supervise roadmap enhancements for release cycles. Ensure accurate release notes and work with the technical documentation team for customer-facing communications. - **Compliance and Best Practices:** Review all AI Product Management PRDs to ensure alignment with the platform's standards and best practices. - **Mentorship:** Provide mentorship to junior product managers, fostering a culture of learning and collaboration within the team. **Skills:** - Strong analytical skills for data evaluation, risk assessment, and decision-making. - Effective communication skills tailored to various audiences, including engineering, marketing, support, and leadership. - Ability to lead cross-functional teams and drive complex projects to completion. **Qualifications and Experience:** - Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred. - Minimum of 10 years of experience in technology, with at least 5 years in Product Management focusing on AI-driven platforms. - Sound understanding of machine learning, computer vision, and statistical principles. - Familiarity with product management tools like JIRA, Confluence, or similar. - Demonstrated ability to work with international teams and flexibility for accommodating different time zones, including evening IST meetings. - Experience in video telematics and fleet management is advantageous. If your experiences and skills align with the Company's requirements, we will reach out to you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies should refrain from contacting us. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, visit the Federal Trade Commission's job scams website.,

Job Description : As a biotechnology trailblazer, we're dedicated to discovering, developing, and commercializing cutting-edge gene and cell therapies, and biologics to transform global healthcare. If you're ready to be part of a team that's shaping the future of medicine and making a profound impact on patient lives worldwide, join Ocugen and well rewrite the future of healthcare together. Job purpose : The Statistical Programmer will be responsible for providing statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product. The individual should be able to ensure application of appropriate statistical methods and generation of accurate and reproducible results through error- free statistical programming in SAS, R and/or other programming languages. This individual will work closely with the Director of Biostatistics, the rest of the team at Ocugen, and CROs to execute the statistical and data needs. Duties and responsibilities : SAS Programming : You'll utilize advanced SAS programming skills to analyze and report clinical trial data (both safety and efficacy). CDISC Standards : Proficiency in CDISC standards (SDTM & ADaM) is essential. You'll generate and validate SDTM and ADaM datasets, as well as create tables, listings, and figures (TLFs). Study Lead: Experience juggling multiple projects simultaneously is preferred. Submission Documents : You'll create and review submission documents and electronic case report forms (eCRTs). Collaboration: Effective communication with cross-functional teams and clients is crucial. Assists the Senior Director of Biometrics in providing statistical consultation for clinical programs, including randomization, sample size assessments, efficacy evaluations, and data review. Develops statistical analysis plans, including textual descriptions of planned analyses and mock-ups of data displays. Provides tabular and written summaries of analyses and statistical methodology. Ensures accurate programming of SAS clinical data extracts and data displays. Develops programming specifications, including analysis datasets and tables/listings/figures. Supports and/or leads programming for analysis datasets, TFLs, or standard tools following standard data models or user requirements. Ensures the integration of data across studies in support of CSS/CSE. Builds, leads, and maintains programming specifications for analysis datasets using tools and methodologies. Supports the creation and validation of submission requirements (e.g., annotated CRF, data export files, define documents). Interfaces with CRO to ensure data and statistical reporting is secure and timely. Proactively identifies risks, developing and implementing mitigation plans as applicable. Participates in study and department meetings, preparing agendas and minutes, and maintaining key decision and action item logs. May assist study teams and departments with financial tracking and reporting, including coordination of CRO, vendor, and site contracts. May assist in developing policies and procedures (SOPs). Additional tasks and projects as requested. Works in a multidisciplinary study team to provide timely and quality support for the analysis and reporting of clinical trials up to regulatory approval, product launch, and annual reports. If applicable, develops and provides department training for applications and standard tools developed by the department functions group. Qualifications : MS. (BS) in Statistics, Computer Science, Mathematics, Engineering, Life Science or related field Typically requires a minimum of 5 years of related experience with a Bachelors degree; or 3 years and a Masters degree SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry. Expertise: Familiarity with statistical principles, CDISC data, and standards. Proficiency in SAS programming skills in a clinical data environment with excellent analytical skills. Knowledge of other programming languages such as R, Python etc. Good knowledge of pharmaceutical clinical development (i.e., understanding of statistical concepts, techniques, and clinical trial principles). Knowledge of regulatory submissions and requirements is a plus SAS, (Base, Stat, Macro, graph); SAS certificates a plus Demonstrated attention to detail and outstanding organization skills. Self-motivated with a commitment to high quality, on-time deliverables. Excellent communication and collaboration skills with a team-oriented approach. Demonstrated ability to identify and resolve issues and effectively manage timelines. This position operates in an office setting, in person. Remote work will be limited. Job may additionally require incumbent to be available outside of these hours to handle priority business needs. This is a largely sedentary role.

Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.