As a potential candidate for this role, you will be responsible for tasks such as reading scientific journals and data mining for the purpose of interpreting scientific data. Additionally, you will be involved in the creation of mathematical models that accurately represent human physiology. Another key aspect of the role will be the analysis and interpretation of data outputs generated from the predictive model. This position requires a strong educational background in fields such as BE/B.Tech in Biotech or Bioinformatics, M.Sc in Biochemistry, Microbiology, or Biotech, as well as a background in M.Tech, Pharmacology, or Pharmacy. The ideal candidate for this position will have 0 to 2 years of relevant experience and will be based in Bangalore. If you are passionate about data analysis, scientific research, and mathematical modeling, this could be the perfect opportunity for you.,
You will be part of Cellworks, an organization committed to revolutionizing the modeling of human biology to enhance patient treatment and transform therapeutics. By leveraging genome-based treatment decisions and drug development tools, Cellworks aims to impact human diseases positively and improve the lives of patients globally. As a Scientist in Computational Biology at Cellworks, you will be instrumental in advancing scientific knowledge through computational approaches. Your role will involve conducting in-depth research, developing innovative methodologies for Genomic and Transcriptomic data analysis, and collaborating with diverse teams to address complex scientific queries. Your responsibilities will include: - Staying updated on the latest developments in computational biology. - Designing and implementing new methodologies for analyzing biological data, enhancing existing pipelines for efficiency. - Extracting valuable insights from intricate biological datasets using data analysis techniques. - Applying machine learning algorithms to identify patterns in large-scale biological data. - Cultivating a culture of innovation by proposing creative solutions to scientific challenges. - Contributing actively to brainstorming sessions and offering input on experimental design and data interpretation. Qualifications for this role include: - Bachelor's or Master's degree in Computational Biology, Bioinformatics, or a related field. - Proficiency in programming languages like Python or R; familiarity with SQL is a bonus. - Experience in constructing and optimizing Genomic and Transcriptomic pipelines. - Strong grasp of biological principles and concepts. - Exceptional critical thinking and problem-solving abilities. - Hands-on experience in data analysis and machine learning would be advantageous. Join Cellworks in its mission to pioneer bio-simulation based therapies and contribute to the betterment of millions of patients worldwide.,
Role Overview: You will be joining Cellworks as a Scientist in Computational Biology, where you will be instrumental in advancing the scientific understanding through computational methodologies. Your role will involve conducting research, developing methodologies, and collaborating with cross-functional teams to address challenging scientific questions. Key Responsibilities: - Conduct in-depth research to stay updated on the latest advancements in computational biology and related fields. - Develop and implement novel methodologies for analyzing Genomic and Transcriptomic data while enhancing existing pipelines for better performance and scalability. - Utilize data analysis techniques to derive meaningful insights from complex biological datasets. - Apply machine learning algorithms to detect patterns and trends in extensive biological data. - Foster a culture of innovation by challenging norms, proposing creative solutions to scientific challenges, and actively participating in brainstorming sessions. - Provide input on experimental design and data interpretation to contribute effectively to the team. Qualification Required: - Bachelor's or Master's degree in Computational Biology, Bioinformatics, or a related field. - Strong understanding of biological concepts and principles. - Proficiency in programming languages such as Python or R; familiarity with SQL is a plus. - Demonstrated experience in building and optimizing Genomic and Transcriptomic pipelines. - Excellent critical thinking and problem-solving skills. - Hands-on experience in data analysis and machine learning would be advantageous.,