Biochemists and Biophysicists

**26955BR**

**Service Line:**

Environmental

**Office Name:**

Phoenix

**Job Description:**

**General Responsibilities:**

Are you looking to join a growing cultural resources team to help complete exciting archaeological projects including survey, testing projects, and data recovery excavations? We are looking for a Project Archaeologist to work in our Tempe, Arizona office as part of our Environmental Services Line, cultural resources, group in the Western Rocky Mountain Division. As part of our team, you will collaborate with our established PIs and network of archaeologists across the nation. This is a full-time salaried position with health care and retirement benefits.

**Essential Roles and Responsibilities:**

+ Follow safety rules, guidelines, and standards for all projects. Participate in pre-task planning. Report any safety issues or concerns to management.

+ Ensure crews return home safely at the end of each workday.

+ Maintain quality standards on all projects.

+ Design, conduct, and report on archaeological investigations of all types (prehistoric, historic, in industrial, rural, and urban environments) and phases (survey, evaluation, testing, data recovery excavation, and other types of mitigation) to regulatory agency standards on projects located in the Southwest regions with an emphasis on Arizona and New Mexico and have the ability to travel in support of projects under the direction of PIs in other areas including, but not limited to Utah, Colorado, and Nevada.

+ Conduct independent prehistoric and historic documentary research

+ Develop proposals, methodologies, and research designs for all types and phases of archaeological and cultural resources projects.

+ Supervise and coordinate field and laboratory crews.

+ Coordinate and assist internal and external clients with cultural resources regulatory compliance.

+ Market our archaeological services to new and existing clients.

+ Manage projects within budget and deadline constraints.

**Preferred:**

+ Professional experience as a Field Director/Project Manager for cultural resources inventories in Arizona and or New Mexico and a general knowledge of Southwestern US or Northwestern Mexican archaeology.

+ Professional experience working on power generation and renewable energy projects.

+ Professional experience working on commercial projects.

+ Experience marketing archaeological services.

+ Intimate knowledge of Section 106 of the National Historic Preservation Act.Permits to conduct archaeological work on BLM and state lands in Arizona and or New Mexico.

**Required**

+ Professional experience as an Archaeological Field Director/Project Manager.

+ Graduate degree in Anthropology or Archaeology or equivalent industry experience.

+ A minimum of five (5) years of archaeological field experience.

+ Ability to communicate clearly and concisely using both written and verbal skills.

+ Ability to multi-task within flexible/fluid schedules and travel to meet project needs.

+ Ability to perform physically demanding tasks such as lifting and walking on uneven surfaces carrying at least 20 lbs. of equipment, and ability to work in extreme (hot/cold) weather conditions.

+ Eligibility to work in the United States without sponsorship

+ Ability to pass drug screening.

+ Possession of a U.S. driver’s license, with acceptable violation history.

**Exemption:**

Exempt

**Requisition ID:**

26955BR

**Posting Title:**

Project Archaeologist

**Employment Type:**

Regular, Full Time

**City, State (Office Location):**

Tempe, AZ

**About Terracon:**

Terracon is a 100 percent employee-owned multidiscipline consulting firm comprised of more than 6,000 curious minds focused on solving engineering and technical challenges from more than 175 locations nationwide. Since 1965, Terracon has evolved into a successful multi-discipline firm specializing in environmental, facilities, geotechnical, and materials services. Terracon’s growth is due to our talented employee-owners exceeding expectations in client service and growing their careers with new and exciting opportunities in the marketplace.

Terracon’s vision of “Together, we are best at people” is demonstrated through our excellent compensation and benefits package. Based on eligibility, role and job status, we offer many programs including medical, dental, vision, life insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus programs.

**EEO Statement:**

Terracon is an EEO employer. We encourage qualified minority, female, veteran and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment, or any employee because of race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender, disability, age, or military status.

**Job Category:**

Scientist

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist, Product Responsibilities:

1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.

2. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.

3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

4. Inform, influence, support, and execute our product decisions and product launches.

5. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.

6. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

8. Telecommute from anywhere in the U.S. permitted.

**Minimum Qualifications:**

Minimum Qualifications:

9. Requirements:Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in the following:

10. 1. Performing quantitative analysis including data mining on highly complex data sets

11. 2. Data querying language: SQL

12. 3. Scripting language: Python

13. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab

14. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

15. 6. Machine learning techniques

16. 7. ETL (Extract, Transform, Load) processes

17. 8. Relational databases

18. 9. Large-scale data processing infrastructures using distributed systems

19. 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

**Public Compensation:**

$209,720/year to $235,400/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist, Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Telecommuting is permitted from anywhere in the United States.

**Minimum Qualifications:**

Minimum Qualifications:

2. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field. Foreign degree equivalent accepted.

3. Requires 2 years of work experience in job offered or in a data analytics-related position.

4. Requires 24 months of experience in the following:

5. 1. Performing quantitative analysis, including data mining on highly complex data sets

6. 2. Data querying languages, including SQL

7. 3. Scripting languages, including Python

8. 4. Statistical or mathematical software, including R, SAS, or Matlab

9. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

10. 6. Machine learning techniques

11. 7. ETL (Extract, Transform, Load) processes

12. 8. Relational databases

13. 9. Large-scale data processing infrastructures using distributed systems

14. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

**Public Compensation:**

$166,522/year to $196,900/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

At Labcorp, we believe in the power of science to change lives. We are a leading global life sciences company that delivers answers for crucial health questions —because we know that knowledge has the potential to make life better for all. Through our unparalleled diagnostics and drug development capabilities, we provide insights and accelerate innovations that not only empower patients and providers but help medical, biotech, and pharmaceutical companies transform ideas into innovations. Here, you can join our more than 70,000 employees, serving clients in more than 100 countries, as we work together to make a real impact on people’s lives. Join us in our pursuit of answers.

Are you looking to embark on a new challenge? The possibilities are endless when start your career at Labcorp! We would love to discuss the exciting opportunities you will encounter when you join our team as a **Certifying Scientist** . In this position, you will work in a patient focused, fast paced, and inspiring environment. You will have a dynamic role in the fulfilment of Labcorp’s overall mission of “Improving Health, Improving Lives.”

As a **Certifying Scientist** for the Toxicology department, you will be responsible for reviewing, certifying and reporting results for patient samples in the pain management compliance testing program and all clinical toxicology tests. This position interacts with both internal and external clients on interpretation of results and issues arising from testing, and routinely consults with Laboratory Managers and Directors concerning results and client test management.

**Shift** : 2nd

**Schedule:** Tuesday – Saturday, 3:00pm – 11:30pm ( _Some Overtime is required)_

**Job Duties/Responsibilities:**

+ Review all test results for applicable screening and confirmatory testing methodologies, relevant Quality Control data and associated documentation; certify and release results; ensure that results meet quality standards

+ Apply QC practices and procedures to the review, interpretation and reporting of results and when applicable monitor chain-of-custody documentation

+ Take proper remedial action in response to test systems being out of control limits, detect aberrant results of quality control and takes appropriate action

+ Provide consultation and assistance to clients when technical, interpretive, and/or regulatory questions arise

+ Assist in training fellow certifying scientists and other LabCorp employees in the interpretation and reporting of results and applicable departmental processes

+ Advise/consult with laboratory technical staff regarding routine testing issues and practices

+ Assist in preparation of litigation packages and affidavits. Potential to provide testimony under subpoena

+ Assist in preparation for inspections and audits. Interact with inspectors and auditors when appropriate

**Required Education and Experience:**

+ Bachelor’s degree in Chemistry, Biology, Clinical Laboratory Science or related field or equivalent education and experience

+ At least five years of pertinent laboratory experience; four years of pertinent laboratory experience that includes at least two years certifying experience; a Master’s degree with 3 years of pertinent laboratory experience; a Ph.D. in one of the above disciplines

+ Must have the training and experience in the theory and practice of methods and procedures used in the laboratory for which the individual is certifying data

+ Excellent communication and interpersonal skills including written, verbal, and listening skills

+ Excellent research and problem resolution skills

+ Must be able to perform work with a high degree of accuracy and attention to detail

+ Work effectively in fast paced high volume environment

**Preferred Education and Experience:**

Two years of chromatography and/or mass spectrometry experience

**Labcorp is proud to be an Equal Opportunity Employer:**

As an EOE/AA employer, the organization will not discriminate in its employment practices due to an applicant's race, age, color, religion, sex, national origin, sexual orientation, gender identity, disability or veteran status.

**Labcorp is proud to be an Equal Opportunity Employer:**

As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply.

For more information about how we collect and store your personal data, please see our Privacy Statement (https://www.labcorp.com/hipaa-privacy/web-privacy-policy) .

The future is what you make it.

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.

That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

Be responsible for providing technical expertise on a variety of Component Validation projects and programs. You will use your expert knowledge of engineering discipline and standards, processes, and tools to complete and ensure technical and milestone compliance on various projects. You are the point of contact for internal and external customers and you will participate in the development of new business opportunities and product lines.

KEY RESPONSIBILITIES

+ Innovation

+ Technical Leadership

+ Directing design direction

+ Project/Risk management

+ Hardware management

+ Mentoring/Coaching

+ Process development

+ Status reporting

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.

YOU MUST HAVE

+ Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics

+ Leadership experience

+ Test environment experience

+ Design environment experience

WE VALUE

+ 10 years of related experience

+ Test leadership

+ Turbine engine design talent

+ Ability to lead, motivate, develop and mentor others

+ Creative solutions to technical problems

+ Experience with new product and technology development in a highly regulated environment

+ Ability to analyze and solve complex and challenging problem

+ Effectively operate in a matrix organization

+ Experience working in global teams across time zones

+ Track record of successful contribution to products & projects

+ Manufacturing experience

+ Excellent verbal and written communication skills

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

GenAI Senior Developer - Senior Solution Specialist - USDC

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...

Work you'll do

The Generative AI Engineer will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences. Additionally, the Generative AI Engineer will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:

+ Working across client teams to develop and architect Generative AI solutions using ML and GenAI

+ Developing and promoting standards across the community

+ Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies

+ Working with leadership and stakeholders to identify AI opportunities and promote strategy.

+ Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.

+ Building and prioritizing backlog for future machine-learning enabled features to support client business processes.

+ You'll design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.

+ Once your model is built, you'll train it on the prepared data, fine-tuning hyperparameters to achieve optimal performance. You'll then evaluate the model's outputs to assess its effectiveness and identify areas for improvement.

+ You'll collaborate with other engineers to integrate your generative AI solution into existing systems or develop new applications. This might involve deploying the model on cloud platforms for scalability.

+ The field of generative AI is rapidly evolving. Staying abreast of the latest research, advancements, and ethical considerations in AI development is an ongoing process.

The TeamArtificial Intelligence & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Artificial Intelligence & Data Engineering will work with our clients to:

+ Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

+ Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

+ Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required:

+ 6+ years of experience programming in Python or R.

+ Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK is required

+ 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 5+ years of experience building and maintaining scalable API solutions

+ Experience working with RAG technologies and LLM frameworks (Langchain, Claude and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS , Milvus , OpenSearch, Pinecone etc.)

+ Experience working with Retrieval Augmented Thoughts (RAT) and chain of thoughts.

+ Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostGres), etc.

+ Experience working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).

+ Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines

+ Experience driving DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI

+ Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker.

+ Experience integrating GenAI solution on cloud platform (e.g., AWS, Azure, Google Cloud)

+ 5+ years of experience designing solutions to address client requirements

+ 3+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions

+ 5+ years of experience in developing algorithms using data science technologies to build analytical models

+ 5+ years of data extraction/manipulation experience using scripts specific to AI/ML

+ 5+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.

+ 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming

+ 5+ years of extensive experience working in an Agile development environment

+ 5+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)

+ 5+ years of production experience with Apache Spark

+ 5+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment

+ 3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access

+ 1+ years of experience to have familiarity with Linux OS and Windows servers

+ 1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools

+ Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

+ Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; with the ability to commute to assigned location for the day, without the need for overnight accommodations

+ Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel

+ Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Preferred:

+ Previous Government Consulting and/or professional services experience

+ In depth understanding of AI protocols and standards

+ Understanding of technology risks and the ability to assess and mitigate them

+ Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context

+ Experience with debugging and troubleshooting software or solutions design issues

+ Proven ability to stay current with best practices and new technology solutions in the field

+ Ability to display both breadth and depth of knowledge regarding functional and technical issues

+ Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)

+ Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.

+ Familiarity with Kubeflow or MLflow

+ Experience with machine learning pipelines (Azure ML)

+ Familiarity with the latest Natural Language Processing or Computer Vision related algorithms

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

**Overview**

Hello humankindness Located conveniently in the heart of Phoenix ArizonaSt. Josephs Hospital and Medical Center is a 571-bed not-for-profit hospital that provides a wide range of health social and support services. Founded in 1895 by the Sisters of Mercy St. Josephs was the first hospital in the Phoenix area. More than 125 years later St. Josephs remains dedicated to its mission of caring for the poor and underserved.We are extremely proud to be a nationally recognized center for quality quaternary care medical education and research. St. Josephs includes the internationally renowned Barrow Neurological Institute Norton Thoracic Institute Cancer Center at St. Josephs Ivy Brain Tumor Center and St. Josephs Level I Trauma Center (which is verified by the American College of Surgeons). The hospital is also a respected center for high-risk obstetrics neuro-rehabilitation orthopedics and other medical services. St. Joseph’s is considered a sought-after destination hospital for treating the most complex cases from throughout the world. Every day approximately 20 percent of the hospital’s patients have traveled from outside of Arizona and the United States to seek treatment at St. Joseph’s.U.S News & World Report routinely ranks St. Josephs among the top hospitals in the United States for neurology and neurosurgery. In addition St. Josephs boasts the Creighton University School of Medicine at St. Josephs and a strategic alliance with Phoenix Childrens Hospital.St. Josephs is consistently named an outstanding place to work and one of Arizonas healthiest employers. Come grow your career with one of Arizonas Most Admired Companies.Look for us on Facebookand follow us on Twitter.For the health of our community ... we are proud to be a tobacco-free campus.

**Responsibilities**

As our Clinical Lab Scientist at SJHMC you will help solve mysteries as to what’s ailing a patient and get us one step closer to successfully treating that illness or injury. You will perform a variety of technical analyses verify results and assure quality and accuracy of tests under the direction of the Laboratory Supervisor(s) Laboratory Manager(s) Laboratory Administrative Director and Laboratory Medical Director (Pathologist). You’ll build trust in all your interactions through your professionalism and work ethic.

Follows procedures and performs clinical testing within regulatory guidelines.

Located in Phoenix AZ this position is critical to the success of St. Josephs Hospital Medical Center and requires the full understanding and active participation in fulfilling the Mission of Dignity Health.

Benefits

We offer the following benefits:

Employee Assistance Program (EAP) for you and your family

Health/Dental/Vision Insurance

Flexible spending accounts

Voluntary Protection: Group Accident, Critical Illness, and Identity Theft

Adoption Assistance

Paid Time Off (PTO)

Tuition Assistance for career growth and development

Pension Plan

Matching Retirement Programs

Dignity Health now offers an Education Benefit program for benefit-eligible employees after 180 days. This program provides debt relief and student loan assistance to help you achieve your goals. Full-time employees can receive up to $18,000 over five years, while part-time employees can receive up to $9,000. Advanced Practice Providers and Faculty Physicians can receive up to $90,000 if full-time and hired within a year of completing their residency or fellowship. Part-time providers can receive up to $45,000. Join our team at Dignity Health to take advantage of this amazing opportunity!

**Qualifications**

**Minimum:**

Bachelors degree in a chemical physical biological or a clinical laboratory science or medical technology from an accredited institution. ASCP eligible.

On or before April 24 1995 be a high school graduate or equivalent and have either

(i) Graduated from a medical laboratory or clinical laboratory training program approved or accredited by ABHES CAHEA or other organization approved by HHS

(ii) Successfully completed an official U.S. military medical laboratory procedures training course of at least 50 weeks duration and have held the military enlisted occupational specialty of Medical Laboratory Specialist (Laboratory Technician)

**Preferred:**

Preferred: Medical Technologist certification (MT) by the American Society for Clinical Pathology (ASCP) or Clinical Laboratory Scientist (CLS) National Credentialing Agency for Laboratory Personnel (NCA) American Medical Technologist (AMT) American Board of Registry (ABOR) or equivalent as defined within Clinical Laboratory Improvement Amendments (CLIA)

**Pay Range**

$29.16 - $42.28 /hour

We are an equal opportunity/affirmative action employer.

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist, Product Responsibilities:

1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.

2. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.

3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

4. Inform, influence, support, and execute our product decisions and product launches.

5. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.

6. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

7. Exercise judgment within defined procedures and practices to determine appropriate action.

8. Perform quantitative analysis including data mining on highly complex data sets using data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab.

9. Design, execute, and analyze experiments and generate actionable insights for product teams.

10. Communicate the results of analyses to product or leadership teams to influence strategy.

11. Build ETL (Extract, Transform, Load) processes in relational databases and implement dashboards and reports that track key business metrics and provide actionable insights.

12. Telecommute from anywhere in the US permitted.

**Minimum Qualifications:**

Minimum Qualifications:

13. Requires a Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:

14. 1. Performing quantitative analysis including data mining on highly complex data sets

15. 2. Data querying language: SQL

16. 3. Scripting language: Python

17. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab

18. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

19. 6. Machine learning techniques

20. 7. ETL (Extract, Transform, Load) processes

21. 8. Relational databases

22. 9. Large-scale data processing infrastructures using distributed systems

23. 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

**Public Compensation:**

$161,590/year to $196,900/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

**Primary City/State:**

Page, Arizona

**Department Name:**

Lab-Page Hosp

**Work Shift:**

Varied

**Job Category:**

Phlebotomy

Join our team and do great work on behalf of better health in the fulltime (36 hours/week) varied hour position in Page, AZ.

**POSITION SUMMARY**

This position is responsible for a high level of technical knowledge and application of that knowledge to department testing, clinical relevance, and complex problem solving skills. This position serves as a department resource, and is responsible for assisting with department compliance with all pertinent laboratory accrediting agency and regulatory requirements (e.g., CLIA ’88, JCAHO, CAP, OSHA). Responsible for the collection, receipt, and processing of biological specimens into the laboratory.

**MINIMUM QUALIFICATIONS**

+ Bachelor’s Degree in clinical laboratory science/medical technology, OR

+ Certificate of completion of a Categorical equivalent of MLS program, OR Bachelor’s Degree in chemical, physical or biological science and certification (MLS or categorical).

+ Students may be hired at the job title equivalent in clinical laboratory science under the following conditions: Student is enrolled in a clinically recognized program (CLS), student’s clinical rotation in the core area must be completed prior to working in that core area and student must complete program within one year of hire.

+ Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation) or other nationally recognized credentialing agency.

+ For certain specialty disciplines ONLY (Toxicology, Clinical Mass Spectrometry, etc.) where no certification is available from a certifying agency, a Bachelor’s Degree with one year of experience in that discipline is required. Individuals with specialty certification may only work in the discipline of their specialty.

+ Demonstrated competency in phlebotomy.

**PREFERRED QUALIFICATIONS**

+ MT or categorical certification (ASCP, AMT, HEW, AAB).

+ Basic knowledge of specimen requirements and knowledge of medical terminology.

+ Completion of an LSA/SQL approved phlebotomy and/or laboratory assistant program.

+ Additional related education and/or experience.

EOE/Female/Minority/Disability/Veterans (https://www.bannerhealth.com/careers/eeo)

Our organization supports a drug-free work environment.

Privacy Policy (https://www.bannerhealth.com/about/legal-notices/privacy)

Banner Health is one of the largest, nonprofit health care systems in the country and the leading nonprofit provider of hospital services in all the communities we serve. Throughout our network of hospitals, primary care health centers, research centers, labs, physician practices and more, our skilled and compassionate professionals use the latest technology to make health care easier, so life can be better. The many locations, career opportunities, and benefits offered at Banner Health help to make the Banner Journey unique and fulfilling for every employee.

EOE/Female/Minority/Disability/Veterans

Banner Health supports a drug-free work environment.
https://www.bannerhealth.com/careers/eeo

**Summary:**

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

**Required Skills:**

Data Scientist, Product Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

**Minimum Qualifications:**

Minimum Qualifications:

6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.

7. A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.)

8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

9. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

10. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

**Preferred Qualifications:**

Preferred Qualifications:

11. Masters or Ph.D. Degree in a quantitative field.

**Public Compensation:**

$109,000/year to $171,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].