Location: Mountlake Terrace, WA
Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.
Science Jobs refers to a category of employment that specializes in the field of science, encompassing a diverse range of professions including researchers, laboratory technicians, science educators, and many others engaged in scientific disciplines. These jobs are characterized by their focus on inquiry, exploration, and the application of scientific methods to understand the natural world. They often require a strong educational background in science, critical thinking, problem-solving skills, and sometimes, experience with specialized equipment or software. In today's world, Science Jobs are crucial for innovation, technological advancement, and addressing complex challenges in healthcare, environment, and industry.
most complex problems for a safer, healthier world. About the role: The primary purpose of this position is to receive and process samples from outside clients as well as field personnel. Will receive samples from outside clients and field service personnel and inspect for proper containers, temperatures, preservatives, etc.
Will accurately log samples into the laboratory LIMS system. Will be responsible for transporting samples to appropriate storage locations and disposing of expired samples Perform other duties as assigned and directed. Ensure compliance with assigned SOP's, QA manual and ALS Client Service Manual. Professional appearance and conduct to both ALS staff and clients.
Other duties as assigned. Responsibilities About you: Desire to work in an administrative position in a laboratory setting. Detail oriented - able to accurately interpret and transcribe information from a client chain of custody into the laboratory computer system.
Good typing / data entry skills. Familiarity with chemical symbols and general scientific terminology. Have a demonstrated ability to communicate well in English, both verbal and written. Ability to multi-task and work as part of a team. Proven ability to learn new concepts quickly. Basic knowledge of EPA methodologies Required Qualifications: High School Diploma and some college level courses in a science curriculum
are required. A Bachelor of Science in Chemistry or a related field or previous laboratory experience is preferred.
Possible travel to additonal labs in other areas. At less 2 years of experience required. Physical Demands: The ability to stand for intervals of up to 8 hours while working. Able to speak and hear clearly while communicating with co-workers and managers. Able to lift up to 50 lbs. on a consistent basis (may request and use a dolly for situations requiring heavy loads). Dexterity in hands and fingers to operate equipment and handle glassware. Must have average vision and able to see to read reports and operate equipment. Hearing and speech to communicate in person and over the telephone.
Qualifications Working at ALS: Our people are our most valuable asset and drive our success at ALS. We are a diverse community of dedicated professionals united by our passion to make a difference in the world. We reward excellence and uphold our values in our work and how we treat each other. At ALS, you'll be supported to expand your skills and develop new ones so you can reach your full potential. We invest in our people with a range of programs and provide opportunities across the company, giving our people scope to grow diverse careers and develop as leaders.
We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and the communities where we work. Our benefits include: Compensation Min$17.13-Max$21.58 Structured wage increases Comprehensive benefit package (including: medical, dental, and vision coverage, life and disability insurance, retirement plan with company match, employee assistance and wellness programs, access to company perks) Additional vacation days for years of service Business support for education or training after 9 months with the company Learning & development opportunities (unlimited access to e-learnings and more)About ALS: ALS is a global leader in scientific testing, providing comprehensive testing solutions to clients in more than 60 countries across a wide range of industries, including environment, food and beverage, mining, personal care, medical, healthcare and equipment reliability.
Using state-of-the-art technologies and innovative methodologies, our dedicated international teams deliver the highest-quality testing services and personalised solutions supported by local expertise. We help our clients leverage the power of data-driven insights for a safer and healthier world.
Everyone matters: ALS is proud to be an equal opportunity employer committed to achieving and maintaining a workforce which reflects and affirms the diversity of our society ALS is a VEVRAA Federal Contractor. EOE AA Minority, Female, Veteran, Individuals with Disabilities Click Here to view the EEO is the Law poster Click Here to view the FMLA Law poster Click Here to view the EPPA Law Poster Click Here to view the Pay Transparency Provision Click Here to view company E-Verify Participation Poster ALS also welcomes applications from people with all levels of ability.
Accommodation is available on request for candidates taking part in all aspects of the selection process.
better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google
Ads to Chrome, Android to You Tube, social to local, Google engineers are changing the world one technological achievement after another. The US base salary range for this full-time position is $164,000-$252,000 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: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e. g. Python, R, SQL) (or 8 years of work experience with a Master's degree). 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e. g. Python, R, SQL). 4 years of experience as a people manager within a technical leadership role. Responsibilities Perform analysis utilizing relevant tools (e. g. SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e. g. suggests new analyses, infrastructure or experiments to drive improvements in the business).
Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization. Requisition #: 114166980769915590pca3lyuhf
and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to You Tube, Social to Local, Google engineers are changing the world one technological achievement after another.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. The US base salary range for this full-time position is $216,000-$317,000
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, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a Ph D degree. Preferred qualifications: 12 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a Ph D degree. 6 years of experience as a people manager within a technical leadership role.
Responsibilities Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e. g. SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Requisition #: 134700360418632390pca3lyuhf
