4 Biomedical Research Jobs

You will be joining EASA College of Engineering & Technology as an Associate Professor in BioMedical, located in Coimbatore. With between 7 to 10 years of relevant work experience, you will play a pivotal role in the academic and research domains of the college. Your primary responsibilities will include designing and delivering a high-quality curriculum in BioMedical Engineering, conducting and supervising innovative research projects, and publishing research findings in reputed academic journals. You will also be responsible for mentoring and supervising undergraduate and postgraduate students to enhance their research and academic skills. Moreover, your role will involve developing and seeking funding for research projects through grant proposals, participating in departmental and college administrative activities, and engaging in continuous professional development to stay updated with advancements in BioMedical Engineering. Your commitment to ongoing learning and continuous improvement will be essential to your success in this position. With expertise in Bio-Medical Research, strong teaching and presentation skills, knowledge of Bio-Medical Engineering Principles, experience in academic publishing, ability to mentor and supervise students, and grant writing and research funding experience, you will contribute significantly to the enhancement of the academic reputation of the department and college. If you are passionate about BioMedical Engineering and have a proven track record of significant contributions to the field, along with excellent communication and collaboration skills, then we invite you to apply for this challenging and rewarding opportunity at EASA College of Engineering & Technology.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with data42 strategy. - Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. - Draft and edit high-level research documents (proposals, protocols, statistical analysis plans). Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in industry and area of work. - Optional Experience in Biomedical Research and development in pharma is a bonus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with the data42 strategy. - Be a data subject matter expert (SME), understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements, conversion to common data models and standards, FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies using AI models for RWD analysis across the Research Development Commercial continuum. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains for priority disease areas to execute complex and critical business problems with quantified business impact. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science. - Extensive experience in Statistical and Machine Learning techniques. - Proficiency in tools and packages like Python, SQL, and exposure to dashboard or web-app building. - Knowledge in data standards e.g. OHDSI OMOP, FHIR HL7, and other data standards. - Strong collaboration skills with stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in the industry and area of work. - Optional experience in Biomedical Research and development in pharma is a bonus. Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you need accommodation, please send an e-mail to [email protected] and let us know your request and contact information. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

Analyze data and document findings for further study Develop innovative solutions and contribute to scientific advancements Collaborate with teams for research and development initiatives