Quantum Research Scientist

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

critical information about the right treatments for the right patients, at the right time. Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time for our expanding liquid biopsy portfolio (including diagnostics, therapy selection, molecular residual disease testing and therapeutic response monitoring).

We are looking for a highly motivated and capable Bioinformatics Scientist with

extensive experience and interest in translational cancer research and genomics algorithm development. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling.

Top candidates will also have leadership experience in NGS pipeline development in a clinical setting. Responsibilities: Develop algorithms used to gain insight into cancer variation through analysis of next generation sequencing data. Design and conduct analysis to improve variant calling, classification and analysis systems. Design and execute experiments to support various regulatory submissions. Collaborate with scientists, and clinicians to design

and perform analyses on cancer clinical sequencing data in order to improve quality of care.

Work in an interdisciplinary group of scientists and engineers to translate research into clinically actionable insights for our clients. Communicate with outside scientific teams as well as product and bioinformatics leadership. Produce high quality and detailed documentation for all projects. Preferred Qualifications: A completed Ph. D. in Cancer Biology or Molecular Biology related to cancer or relevant experience. Computational skills using Python and/or R. Ideal candidates will possess: Experience in cancer genetics, immunology, and/or molecular biology. Experience working with Next-Generation Sequencing Data.

Experience building NGS pipelines in a clinical setting. Self-driven and works well in interdisciplinary teams. Experience with communicating insights and presenting concepts to a diverse audience. Strong demonstrated programming ability. Background in predictive or prognostic algorithm development. #LI-EH1 #LI-Hybrid #LI-Remote We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, interactionual orientation, age, marital status, veteran status, or disability status.

backssment, soil science, sampling and analysis, hazardous waste investigations, remediation, and public outreach who assist the EPA, other government agencies, and commercial clients on various contracts throughout the U. S. This position will involve project and contract management, evaluating and preparing environmental investigation and remediation work plans, designs and reports, developing strategies for the remediation and closure of large CERCLA and RCRA sites, evaluating site documentation for compliance with federal, state and local standards, report writing, and oversight of field investigation/remediation activities.

The candidate filling the position will also provide support

in business development within the southeastern U. S. Tech Law offers a competitive salary commensurate with experience, a benefits package, training (40-hour OSHA, 8-hour OSHA Refresher), and medical monitoring.

We will provide the ideal candidate a collaborative environment with opportunities for learning and expanding knowledge and skills. New hires will be encouraged to cross-train in several other environmental consulting work areas at Tech Law. Salary Range: $80,000 to $120,000 DOE Required Qualifications: A bachelor's in engineering or chemistry P. E. license preferred for an engineer Experience with PFAS chemistry, investigation, sampling and treatment. Over 10 years of experience

in a variety of environmental investigation activities, such as sampling, backssments, and document review and preparation, preferably involving sites regulated under CERCLA and/or RCRA Project management skills including scheduling, budgeting, and resource management Excellent reading comprehension and writing skills Good ability to multi-task Meticulous attention to detail The ability to work independently and yet be team oriented Physical Requirements: The position requires the physical ability to lift up to 50 lbs.

including loaded coolers and equipment. It can also involve long days of field work and the need to walk or hike through rough and uneven terrain, woodlands, thick vegetation, and on slopes, while carrying supplies.

Must have the flexibility and ability to travel 25% of the time Must have a valid driver's license, good driving record and be able to drive in company provided vehicle Additional Requirements: The position requires the ability to pass a background check to access Department of Defense sites. Please provide a list of coursework and relevant training completed. Job Posted by Applicant Pro

and prioritize the product roadmap automation sequences. Craft compelling stories and present recommendations across teams and levels utilizing experience/knowledge with statistical, data mining, and machine learning algorithms. Help to launch, measure, and scale new solutions to create seamless consumer experiences and drive incremental revenue.

Identify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritization. Act as a thought partner to our product team to build and lead cross-functional projects and leverage the Objective & Key Results (OKR) framework to identify product

metrics and monitor product performance. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Bachelors degree, or foreign equivalent, in Computer Science, Economics, Data Science, Statistics, or a closely related field plus three years of experience in the job offered, as a data scientist, or a related occupation.

Special Skill Requirements: 1. Statistics2. Data science3. Machine learning4. Python5. SQL6. A/B Testing7. Big Query8. Pandas9. Looker10. Tableau Must be legally authorized to work in the U. S. without sponsorship. To apply, please send your resume with references, specifying Req. # L22-133775, by email to: