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Science Jobs refer to a broad category of careers focused on the pursuit of scientific research, practical applications of scientific knowledge, and the advancement of technology. These roles are typically found in sectors such as healthcare, engineering, environmental science, and pharmaceuticals. Key characteristics of Science Jobs include a strong emphasis on problem-solving, analytical skills, and a solid foundation in scientific principles. Individuals in these positions often engage in data analysis, experimentation, and innovation to contribute to scientific understanding and development. The field is dynamic and constantly evolving, offering a diverse range of opportunities for specialization and advancement.

Science Jobs are specialized career paths within the field of science that encompass a wide range of disciplines such as biology, chemistry, physics, environmental science, and more. These jobs often require a strong educational foundation and specialized training. Key features of science jobs include a focus on research and development, data analysis, and the practical application of scientific knowledge to solve real-world problems. Additionally, professionals in science jobs are typically engaged in expanding the frontiers of scientific understanding and contributing to technological and medical advancements. These roles can be found in academia, government agencies, private sector research labs, and industrial settings.

data for pesticide regulatory submissions via reports, SOPs, protocols and other GLP study documents. Chemists coach and mentor others and lead teams to deliver high quality standards within tight deadlines and changing priorities. You will use your superb organizational and communication skills to present directly with customers and other industry professionals.

Most importantly, chemists manage multiple work packages using project management tools, optimizing and developing new assays and then conceptualizing innovative solutions to solve challenging technical problems. What you need to be qualified for this job: Master's degree in chemistry or bachelors with relevant experience. Working

knowledge of residue studies ( RAC/decline, field dissipation/leaching, dislodgable foliar residues, spray drift, and pollinator health) is preferred. Experience with chemistry method validation, method ILV studies and knowledge of data regulatory requirements (US EPA, SANCO for residue chemistry, method validation and ILV studies).

Experience with 5-Batch Analysis (preliminary analysis/enforcement methods), Phys/Chem tests and test/reference substance characterization. Strong math and scientific writing skills and comfort using Excel/Word. Experience with LC-MS, LC-MS/MS, GC-MS, GC-MS/MS and method optimization/troubleshooting and sample preparation techniques (SPE, Qu ECh Ers, high-throughput

methods (96-well plate format) and liquid-liquid extractions).

Our offer to you: Starting pay of $50,000 and higher. Comprehensive and affordable medical, dental, vision and life insurance, paid disability, ample PTO and a matching 401k. How to apply: If the above sounds like a match, simply click on the apply button and provide us your resume, which will be instantly sent to our hiring team. Further Company info: EPL is a member of Tentamus Group , a global 3rd party scientific product and safety testing firm with a core presence in Europe, Israel, China, Japan, and North America. With 100+ locations and 4,000 dedicated team members, our labs test, research and consult on products that impact human wellness.

Labs for Life®. Job Posted by Applicant Pro

and generate insights that enable marketers to develop marketing programs. You will design, prototype, and build out analysis pipelines to support initiatives and Marketing campaigns at scale. You will perform analysis, design, and execute on experimentation, and conduct incrementally measurement analysis to inform on strategic decisions of the marketing programs across the entire Ads Marketing space.

In this role, you will build analytical frameworks and measurement capabilities to generate data driven insights that lead business growth. You will present and communicate to marketing partners and leadership to inform on decision making. Know the user. Know the magic. Connect the two.

At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental.

And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. The US base salary range for this full-time position is $124,000-$182,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target

for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Minimum qualifications: Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a quantitative field, or equivalent practical experience.

2 years of experience in a data science field. Experience with statistical software (e. g. R, Python, MATLAB) and database languages (e. g. SQL). Experience leveraging data insights into storytelling for business stakeholders. Preferred qualifications: Ph D in Statistics or a related quantitative discipline. 2 years of experience in statistical data analysis (e. g. generalized linear models, multivariate analysis, clustering or segmentation, and sampling methods). Experience in controlled experiment design and causal inference methods. Experience with machine learning on computing systems (e.

g. Hadoop, Map Reduce, or a similar system). Ability to prioritize requests, teach others, learn techniques, partner in a environment with competing demands, collaborate with stakeholders, and communicate analysis insights to non-technical audiences. Ability to take initiative with excellent leadership and communication skills. Responsibilities Work with large, complex data sets and solve complex analysis problems, applying advanced analytical methods (e. g. statistical and machine learning models). Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed. Interact cross-functionally, making business recommendations (e. g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities. Requisition #: 128627711091319494pca3lyuhf