Connexis Search Group的动态

The future of medicine lies in deciphering the vast landscapes of biological data. And for biopharma and life sciences companies, this means one thing: data scientists and machine learning engineers are no longer a luxury, they're an essential weapon. Here's why: Unlocking hidden gems: These specialist mine genomic sequences, protein structures, and medical records to uncover hidden insights that fuel drug discovery, optimize clinical trials, and personalize patient care. Building AI-powered solutions: From disease diagnosis to efficient research, cutting-edge AI and ML systems designed by these experts are revolutionizing the way we approach healthcare. Data-driven decisions: In a rapidly evolving field, staying ahead of the curve is crucial. By leveraging data science, companies can make informed decisions, adapt to market trends, and gain a crucial competitive edge. Ready to unleash the power of data in your company? Let Connexis Search Group be your guide. Connect with us today and let's find the talent that will unlock your next wave of breakthroughs. #biotech #datascience #machinelearning #talentrecruitment #connexissearchgroup https://hubs.ly/Q02kGWjZ0

#hiring Machine Learning Engineer, Science, Chicago, United States, fulltime #jobs #jobseekers #careers #Chicagojobs #Illinoisjobs #Engineering Apply: https://lnkd.in/eW5hyRAg The Team CZI supports the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. We build open source software tools and leverage artificial intelligence to accelerate the pace of biomedicine. We fund scientific research worldwide to advance the frontiers of knowledge. And we launched a family of institutes to do research that can't be done in conventional environments. Each aspect is essential to our approach to building for the long term. CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with its partner institutes at the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century. The Opportunity As a Senior/Staff Research Scientist on the AI/ML team you will conduct original research in developing state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI's mission. The era of big data in biology is upon us, driven by advancements in high-throughput measurement techniques, generating vast amounts of rich multimodal data. You will work as part of a diverse team of AI scientists and engineers leveraging large multimodal datasets to build foundation models that advance both the state-of-the-art in AI as well as our understanding of biological systems. You will also have the opportunity to work on aspects of AI for scientific discovery to build systems that embed AI systems deeply into the process of proposing and generating new scientific insights and reify existing ones into scalable systems. You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate with CZI grantees, CZ institutes, and other external labs and organizations. Your work will inspire and

#hiring Machine Learning Engineer, Science, Chicago, United States, fulltime #jobs #jobseekers #careers #Chicagojobs #Illinoisjobs #Engineering Apply: https://lnkd.in/eW5hyRAg The Team CZI supports the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. We build open source software tools and leverage artificial intelligence to accelerate the pace of biomedicine. We fund scientific research worldwide to advance the frontiers of knowledge. And we launched a family of institutes to do research that can't be done in conventional environments. Each aspect is essential to our approach to building for the long term. CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with its partner institutes at the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century. The Opportunity As a Senior/Staff Research Scientist on the AI/ML team you will conduct original research in developing state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI's mission. The era of big data in biology is upon us, driven by advancements in high-throughput measurement techniques, generating vast amounts of rich multimodal data. You will work as part of a diverse team of AI scientists and engineers leveraging large multimodal datasets to build foundation models that advance both the state-of-the-art in AI as well as our understanding of biological systems. You will also have the opportunity to work on aspects of AI for scientific discovery to build systems that embed AI systems deeply into the process of proposing and generating new scientific insights and reify existing ones into scalable systems. You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate with CZI grantees, CZ institutes, and other external labs and organizations. Your work will inspire and

Top 10 Industries Hiring AI Jobs in 2024 - Campuz Verge Kenya Top 10 Industries Hiring AI Jobs in 2024. Artificial Intelligence (AI) is rapidly transforming various industries, leading to a surge in demand for AI professionals. Here are the top 10 industries actively hiring AI jobs in 2024: Technology The technology sector is at the forefront of AI innovation, with companies like Google, Amazon, and Microsoft heavily investing in AI research and development. They are seeking AI engineers, data scientists, and machine learning experts to build and deploy AI-powered solutions. Healthcare AI is revolutionizing healthcare by improving diagnosis, treatment, and drug discovery. Hospitals, pharmaceutical companies, and medical device manufacturers are hiring […] Read More https://lnkd.in/dtUcYszR

?????? ???????? ???? ???????? ?????????????? ???? ???????????????????? ?????????????? As the healthtech field progresses, the need for talented data scientists is growing which is why this post takes a close look at the significance of data science in healthtech careers. ?????? ???? ?????????? Data science uses algorithms, statistical models, and computer tools to analyze and make sense of data. One of the most important uses of data science in health technology is predictive analytics. Predictive models can tell future health trends and recognize patients who might be at risk of developing specific conditions. For instance, data science can forecast outbreaks of infectious diseases, which helps in taking quick action and allocating resources effectively. ???????????? ?????????????????????????? ???? ???????????????????? ???????? ?????????????? Data scientists can pursue various career paths, including roles such as clinical data analysts, bioinformaticians, and health informatics specialists: 1. ???????????????? ???????? ???????????????? focus on analyzing clinical data to enhance healthcare delivery. Their work may involve optimizing clinical processes, reducing hospital readmission rates, and assessing the effectiveness of treatments. 2. ?????????????????????????????????? specialize in analyzing biological data, such as genomic sequences. They play a crucial role in fields like personalized medicine, where treatments are customized based on an individual's genetic makeup. 3. ???????????? ?????????????????????? ?????????????????????? concentrate on managing and utilizing health information systems. Their responsibilities include ensuring the accuracy and security of patient data, integrating different health IT systems, and supporting data-driven decision-making in clinical settings. In order to excel in the field of healthtech data science, it is important to have a combination of technical and industry-specific skills. Technical skills include: -?????????????????????? ???? ?????????????????????? ?????????????????? ???????? ??????????? ?????? ?? -?????????????????????? ??????? ????????????? ???????????????? ??????????????????? -?????????????????? ???? ???????? ?????????????????????????? ?????????? ??????? ???? ?????????????? ?????? ?????????? ????. ?????????????????????????? ???? ?????????????????? ?????????????? ?????? ?????????????????????? ???? ???????????? ???????? ?????????????? ?????? ????????????????????. Soft skills include: ???????????????? ?????????????g ??????????????-?????????????? and ?????????????????? ?????????????????????????? The future of data science in healthtech is broad with advancements in AI and machine learning set to transform the field even further. We can expect to see innovations like AI-powered diagnostic tools, real-time analytics for patient monitoring, and personalized medicine, marking just the beginning of what's possible. #DataScience #DataScienceinHealthTech #Careeropportunitues

Hi Linkedin, We’re hiring an Analytics Engineer that will take a central part in the A.I. development process, and I wanted to take the time to answer what it takes to be a successful Data Expert at Aidoc? It’s a question I get asked a lot, and it’s a question I ask myself all the time. I want to always make sure we're accurately emphasizing the right skills in the hiring process, and that we're developing our people in the optimal directions. This is a highly unique role - Aidoc's Data Analysts and Analytics Engineers are paving the way for methodologies and practices in the domain of dataset development for A.I. So - What makes a Data Expert at Aidoc succeed in her role? To answer that, we need to understand the challenges with the data we're working with.? Medical imaging and textual data is tough and unforgiving.? For example, medical imaging has HUGE variations between different scanners, scanning protocols, patient characteristics, and medical centers. It's very complicated to interpret, and each scan can have multiple "different" ground truths, depending on the radiologist who's calling the shots. That is why, developing an AI algorithm with ~80% recall in a controlled environment is difficult, but developing an AI algorithm with 90%+ recall on REAL data is insane. We have to understand, what's difficult for the radiologist to detect, might also be difficult for the algorithm.? Therefore, the top decile of findings could be where we could save patients’ lives.? Every improvement here is CRITICAL. At Aidoc, we’re looking for analytics engineers that want to take a central part in reimagining and executing core methodologies in the AI development process, and want to work shoulder-to-shoulder with one of the strongest A.I. Algorithm teams in Israel.? This requires the ability to develop a strong understanding of concepts in AI algorithm development, be highly meticulous and process-oriented, and be passionate about continuously improving our efficiency and quality through coding and creative solutions. Developing datasets for AI according to a deep understanding of these principles, is often what actually makes algorithms reach performance which drives true impact on the clinical world. We're now hiring Analytics Engineers for our AI Data Development group. If you have what it takes, don't hesitate to contact us.? https://lnkd.in/dX9FT3Cx Aidoc Shir Hoter Liat Zimmermann #hiring?#healthcareai #aiinhealthcare?#healthtech #aiinnovation?#artificialintelligence?#ai

AI in the healthcare market is expected to grow to $173.55 billion by 2029. That implies that the number of medical jobs is also going to increase. Here are 7 jobs that have increasing demand in the medical sector. 1. Medical AI project manager - Data analysis skills - Operating communication tools - Project management software skills 2. AI prompt engineer - Knowledge of healthcare data standards - Proficiency in programming languages - Structured Query Language (SQL) 3. Health data analyst - Machine learning techniques - Deep and neutral language processing 4. Medical data scientist - Skilled in healthcare specific software (EHR systems, and medical imaging software) 5. Healthcare AI engineer - Programming skills, - Knowledge of machine learning models. 6. Healthcare AI ethics specialist - Problem solving skills - Communication skills 7. Medical cybersecurity - Proficiency in security tools (Firewalls, antivirus software, and endpoint security solutions) These are just 7 among hundreds of other jobs. All you need are the skills to stay relevant in the upcoming times. ---- Want more AI updates in healthcare? Follow Taher and ring the bell. Have a good one!

With the launch of Chat GPT and other Large NLP models, one of the roles that is gaining popularity is #PromptEngineer. A LinkedIn article (https://lnkd.in/gyd6_YJ2) has detailed the perspectives of Prompt Engineering in Future. These roles are augmenting roles for professionals with deep knowledge of healthcare and interest in AI In healthcare, prompt engineering can play a crucial role in developing AI-driven systems for medical research, clinical decision support, patient management, and more. As a specialized field in healthcare, salaries for Prompt Engineers can be influenced by various factors, including experience, location, healthcare sector focus, and technical expertise. An entry-level Prompt Engineer working in healthcare can expect an average salary of around ?6,00,000 to ?10,00,000 per annum. This range reflects the growing demand for AI and data science applications in healthcare and can vary based on the company's focus and scale of operations. The Institute of Health Management Research, Bangalore (IIHMR-B) new course on #AI and #DataScience for Healthcare is designed to offer students with skills to take up such lucrative career pathways in AI focussed on healthcare. Institute of Health Management Research, Bangalore (IIHMR-B) Dr. Usha Manjunath Clinical Research Jobs Public Health Career DigitalHealth News

#Sage IT #Hiring Immediate Requirement...!!!!!!!!!!!!!! Role: #Gen AI Engineer Location: New Brunswick, NJ? (Day 1 Onsite) Experience: 10+ years Above Duration: long Term Skills: 1.??????Contribute to the design and implementation of state-of-the-art AI solutions. 2.??????Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. 3.??????Collaborate with stakeholders to identify business opportunities and define AI project goals. 4.??????Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. 5.??????Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. 6.??????Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. 7.??????Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. 8.??????Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. 9.??????Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. 10.??Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. 11.??Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. 12.??Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. 13.??Ensure compliance with data privacy, security, and ethical considerations in AI applications. 14.??Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Interested candidates with suitable skill set can connect at [email protected] #Geneative #AI #Onsite

#Philips is #hiring for #AI/ML #Ops #Engineer for #Bangalore location. Designs, builds, and deploys machine learning models.? Develops algorithms that can learn and make predictions or decisions.? Conducts model training, evaluation, and tuning to achieve optimal results.? Implementation:? Implements machine learning models into production environments, ensuring they meet medical device regulatory standards.? Monitors and maintains the performance of deployed models, focusing on patient safety and compliance.? Collaboration and Documentation:? Collaborates with data scientists to refine and improve model accuracy within clinical settings.? Writes detailed documentation for machine learning algorithms, model training, and evaluation processes, ensuring clarity for regulatory audits.? Details model deployment workflows and maintenance procedures, including compliance checks.? Testing and Validation:? Conducts extensive testing of machine learning models, including unit tests and integration tests, to validate clinical efficacy and safety.? Validates models in deployment environments (e.g., real-world clinical settings) to ensure they perform as expected under real-world conditions.? Conducts root cause analysis for model performance drops or inconsistencies, with a focus on clinical outcomes.? Monitoring and Improvement:? Monitors models post-deployment for drift and retrains them as necessary to maintain clinical performance and safety.? Debugs problems in machine learning algorithms, training processes, and model deployment, with an emphasis on patient safety and regulatory compliance.? Implements solutions to fix bugs, optimize model training, and improve deployment robustness, adhering to medical device standards.? Regulatory Compliance and Risk Management:? Ensures all machine learning development and deployment efforts comply with relevant regulations (e.g., FDA, MDR, ISO 13485, ISO 14971).? Participates in risk assessments, identifying and mitigating potential risks associated with the machine learning model.? Supports the creation of submission documents necessary for regulatory approvals.? Ethical and Privacy Considerations:? Ensures that the development and deployment processes respect patient privacy, complying with data protection regulations such as GDPR and HIPAA.? Monitors for biases in the machine learning models to ensure equitable and unbiased patient care. Please apply via #referral link: https://lnkd.in/dntsA3y2 #referral #Philips #healthcare #medical #device #helpinghands #hybridworking #JobID538464