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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.
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Substantial experience in statistical programming using SAS, R, or other relevant programming languages within the pharmaceutical or biotech industry. We are seeking a highly skilled and motivated Principal Statistical Programmer with expertise in pharmacokinetics (PK) and pharmacodynamics (PD) to join our dynamic FSP team.
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1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked Minimum Education Bachelor Additional Qualifications: Field of Study Biology Computer Science Statistics and Decision Science Software R Python Linux Shiny HTML Skills Scientific Data analysis Data visualization Data processing Data integration Machine learning Apply now.
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Software programming experience in one or more programming languages (Python preferred) IaC experience – Terraform, Ansible, Github, Github Actions, Jenkins, Conjur/Vault Expertise in Linux/RHEL systems and experience building cloud-based application using microservices and deploying in containerized environments.
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Strong scripting language proficiency (e.g., Python, Bash) and experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation). Minimum 5 years of experience in an AWS Cloud Engineer or similar role.
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The Senior Data Engineer leverages various service category databases, data warehouses, and other technical applications (i.e. SQL, Snap Logic, Access, Snowflake, Python, Excel) to identify, analyze and propose solutions to support SPS consulting projects supporting our clients directly.
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We are seeking an Assay Development Scientist/Engineer to join the R&D team at Baebies. The candidate reports to the Director of Technology Development and will provide assay development expertise to add new tests to Baebies' product platforms.
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Level III A minimum of 4 years' experience within specialty modality in which they are seeking promotion Degrees, Licensure, and/or Certification Certification in one of the following required: Radiography (R), Radiation Therapy (T), Nuclear Medicine Technology (N), CNMT, ARDMS, or registry eligible for Magnetic Resonance (MR.
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Bachelor’s degree in Electrical Engineering, Physics, Chemical Engineering, Mechanical Engineering, Materials Science, or closely related field Experience in developing and transferring new designs and technologies from R&D into high volume productionExperience using BKM/DFMY methods at the design and process levels to ensure manufacturing readiness with excellent CpksBackground in statistical techniques critical in manufacturing including ANOVA, SPC, Cpk, and experimental design.
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Experience in R&D, process development and manufacturing within the biopharma products/industry. Scientific and Scientific Sales background, with Life science sales preferred. Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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Demonstrated hands-on experience with R, Python, or similar data science tools. The Marketing Data Scientist will model complex business problems by building statistical models in python and utilizing data science packages in python with the purpose of providing market insights through data analysis.
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Strong foundation in using data analysis tools such as JMP, Matlab, Python, etc. Areas of competence should include CAD-layout, Etch, Photolithography, Metal Deposition, Diffusion, Wet Processing, Implant, NPI, SPC, DOE's and backend processing.
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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) performing data engineering and data warehousing development, using Oracle PL/SQL, Snowflake, AWS, NIFI, Python, and Informatica Power Center.
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Industrial electrical distribution (low/medium voltages), HVAC/R systems, WFI, clean steam, utility generation equipment à glycol, steam, condensation, steam traps. Ability to work with and troubleshoot and calibrate complex clean utility systems to include reverse osmosis skids, clean steam generators, vapor compression stills and water for injection systems.
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