Senior Consultant - R & D

Job Description As a Program Lead in Analytics Consulting at Tiger Analytics, you will play a crucial role in the Research and Development domain, particularly in the pharmaceutical sector. Your responsibilities will include: Role Overview: You will be expected to bring your domain expertise in drug discovery and early-stage pharmaceutical R&D to the table. This involves having a strong understanding of biological pathways, molecular biology, and disease mechanisms. Additionally, you should be familiar with omics datasets such as genomics, transcriptomics, and proteomics. Exposure to biomarker discovery and translational research will be beneficial for this role. Key Responsibilities: - Demonstrate strong programming skills in Python or R to analyze and derive insights from complex datasets. - Apply your experience in machine learning and statistical modeling to develop predictive models for pharmaceutical research. - Utilize your knowledge of SQL and data processing workflows to streamline data analysis processes. - Collaborate with cross-functional teams and effectively communicate with scientists and R&D stakeholders to translate scientific questions into actionable analytics solutions. - Leverage your expertise to work closely with pharma R&D or biotech teams, driving analytical initiatives that contribute to transformative discoveries. Qualifications Required: - 5 to 11 years of relevant experience in the pharmaceutical industry or a related field. - Proficiency in Python or R programming languages. - Hands-on experience with machine learning, statistical modeling, and analyzing high-dimensional biological datasets. - Strong communication skills and the ability to engage with diverse stakeholders in a collaborative environment. At Tiger Analytics, you will be part of a global consulting firm that is at the forefront of solving complex analytics challenges for Fortune 100 companies. With a culture that values expertise, mutual respect, and innovation, you will have the opportunity to work on cutting-edge projects in Data Science, Machine Learning, and AI. Join us on this exciting journey where you can push boundaries and create solutions that make a real impact. As a Program Lead in Analytics Consulting at Tiger Analytics, you will play a crucial role in the Research and Development domain, particularly in the pharmaceutical sector. Your responsibilities will include: Role Overview: You will be expected to bring your domain expertise in drug discovery and early-stage pharmaceutical R&D to the table. This involves having a strong understanding of biological pathways, molecular biology, and disease mechanisms. Additionally, you should be familiar with omics datasets such as genomics, transcriptomics, and proteomics. Exposure to biomarker discovery and translational research will be beneficial for this role. Key Responsibilities: - Demonstrate strong programming skills in Python or R to analyze and derive insights from complex datasets. - Apply your experience in machine learning and statistical modeling to develop predictive models for pharmaceutical research. - Utilize your knowledge of SQL and data processing workflows to streamline data analysis processes. - Collaborate with cross-functional teams and effectively communicate with scientists and R&D stakeholders to translate scientific questions into actionable analytics solutions. - Leverage your expertise to work closely with pharma R&D or biotech teams, driving analytical initiatives that contribute to transformative discoveries. Qualifications Required: - 5 to 11 years of relevant experience in the pharmaceutical industry or a related field. - Proficiency in Python or R programming languages. - Hands-on experience with machine learning, statistical modeling, and analyzing high-dimensional biological datasets. - Strong communication skills and the ability to engage with diverse stakeholders in a collaborative environment. At Tiger Analytics, you will be part of a global consulting firm that is at the forefront of solving complex analytics challenges for Fortune 100 companies. With a culture that values expertise, mutual respect, and innovation, you will have the opportunity to work on cutting-edge projects in Data Science, Machine Learning, and AI. Join us on this exciting journey where you can push boundaries and create solutions that make a real impact.