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As an Escalation Data Analyst, you will be at the forefront of analyzing both quantitative and qualitative data, generating insightful judgments, and crafting impactful products for internal cross-functional partners.
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The Specialist will be responsible for 4 main workstreams: analyzing legal data & reporting on legal metrics, including reports from data that will be used for board and committee reporting, providing litigation and IP dispute resolution support, supporting eDiscovery activities, and supporting and enhancing the data privacy review process.
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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.
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Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams.
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We generate and have access to clinical and immunological data as well as many large data sets, including mass cytometry (CyTOF) and single cell sequencing data. The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatics and informatics, to mentor and educate clinical investigators in research methods and to mentor data scientists.
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We are looking for a bioinformatics scientist to create quantitative and incisive analyses of DNA sequence attributes and NGS data. Ph. D. in bioinformatics, computational biology, genomics or a related field or M.S computer/data science with 2+ years of biotech industry experience or B.S. in computer/data science with 4+ years of biotech industry experience.
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An IT Security Analyst is responsible for ensuring corporate applications, systems, networks, and digital assets are adequately protected and mitigated against cyber threats and risks. Install security measures and operate software to protect systems and information infrastructure, including firewalls, IPS/IDS, Anti-malware and data encryption programs hosted onsite or in the cloud.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
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Knowledge and experience in qualitative analysis and data sets (e.g., free-text natural language processing, survey data) is preferred. · Knowledge of real-world data and experience in observational research study design, execution and communication.
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Our Business Analyst will partner with our Business Development, Compliance and Analytics teams to help drive data governance. Further data deliverables through the optimization of data quality, performing data analysis and data mining in large SQL databases, and applying predictive modeling theories to recommend solutions to complex business problems.
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It aims to provide advanced middleware and tools for Web2 businesses connecting to Web3 token incentives with real-world activity confirmed by user-owned smart devices, unlocking new business opportunities through its Proof-of-Anything technology, which can be used with several data sets, such as in location, activity, and humanity.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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We are looking for a Senior Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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5-7 years' experience as a Data Analyst or in a similar role working directly with clinical healthcare data (e.g., medical claims, pharmacy claims, population-health data, EMR etc.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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Title: data analyst Company: Conexess Group in Menlo Park, CA
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.