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Proficient with Reliasoft, JMP, and/or Minitab for Failure Data Analysis and System Modeling. The Staff Reliability Engineer is responsible for providing Reliability Engineering support to new product development programs, sustaining engineering programs, failure investigations, and the analysis of field reliability data through the application of Reliability engineering and other engineering skills for medical devices.
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Note: This home based data entry role is designed for earning additional income and should not be viewed as a full-time position. Home Based Data Entry. Note: This home based data entry role is designed for earning additional income and should not be viewed as a full-time position.
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Data Quality Analyst - Healthcare data management. Healthcare data management, data quality, sQL, Mongo, ETL Data Warehouse, SAS, SDLC, project management, master data management tools, data quality.
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Lead and support project development efforts for energy efficiency, distributed energy resources (DER), and microgrid projects by visiting customer sites to gather relevant project information and data, conducting engineering analysis, developing project scopes, and preparing preliminary cost estimates.
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) Experience across any other of the top cloud data platform vendors, including Google, Microsoft Azure, and Snowflake is a plus.
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Expertise in multi-parameter flow cytometry (panel design, sample acquisition, data processing) and immune cell functional assays (e.g. proliferation, cytokine production, cytotoxicity). Artiva Biotherapeutics is seeking a skilled and highly motivated Scientist who will be responsible for translational assay development and clinical sample testing and data analysis.
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BS/BA degree in Statistics, Mathematics, or Computer Science or in a related field and 2+ years of Biotechnology/Pharmaceutical/CRO industry experience as a clinical trial SAS Programmer programming CDISC data structures\ OR.
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In addition, through the HMIS, OHS will be able to comply with data reporting requirements of other federal partners such as the Veterans’ Administration and Runaway Homeless Youth. Additional tasks consist of assisting with Data Licensing Agreements (DLAs) with Law, Institutional Review Board (IRB) process, attend HHS Business Users of Data (HHS BUD) meeting with Director of Performance Management, ensure travel arrangements for conferences are done for the team, attend P3 management meetings, all staff and other meetings.
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Proficiency in Azure Synapse, Visual Studio, Azure DevOps, CI/CD, Pipelines, Data Factory, Python, Databricks, SQL. This position is for an innovative senior data engineer who is a self-driven and results-oriented individual who is not afraid of big challenges but is also able to focus on excellent end user support, and successfully drive programs from start to finish.
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The Senior Azure Data Engineer oversees program management of medium to large projects with a well-rounded technical background in business intelligent solutions. Experience with data tools such as Power BI and Tabular models (DAX) in Visual Studio, Purview.
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The selected candidate will be responsible for all aspects of Quality Control oversight, including external (CDMO) release and in-process assays, raw data review, method qualification and validation, stability, trending and GMP investigations for any analytical deviation, OOT or OOS. The ideal candidate must have experience with cell therapy analytical techniques, including flow cytometry, PCR (qPCR, QF-PCR, ddPCR, and/or dPCR), ELISA, safety-based assays (sterility, mycoplasma, endotoxin, etc.
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Must have knowledge in Global Positioning Systems (GPS) survey methods, electronic data collection, the processes and computer programs necessary for survey data review and transfer to mapping.
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Using data, technology, and top-industry talent, we deliver meaningful brand experiences that drive more revenue for clients such as Titleist, Patagonia, Stone Brewing, Sun Bum, Bosch, among others.
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Minimum of 10 years of experience in data science, with substantial experience in next-generation sequencing (NGS) data analysis (minimum of 5+ years with PhD degree. Fluid in the main data science tools (i.e. scikit-learn, SQL, Tensorflow.
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Implement and maintain data models and structures in databases like Oracle, PostgreSQL, MySQL, Redshift, Snowflake, and more. Utilize programming languages such as Python, R, and SQL for data analysis and manipulation.
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Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
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.
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
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!