Mathematicians

**Become a part of our caring community and help us put health first**

Humana's Clinical Strategy and Analytics (CS&A) Team is seeking a Research Scientist 2 (Remote).

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana's enterprise clinical strategies and initiatives.

The Research Scientist 2 applies mathematical, statistical, and epidemiologic principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities using high volumes of complex data. The Research Scientist 2 work assignments are varied and frequently require interpretation of data/information and independent judgement.

As a Research Scientist, you will:

+ Collaborate with analytic and business teams to set objectives, approaches, and work plans

+ Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights

+ Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes

+ Translates analytic results into key takeaways and communicate to business partners

+ Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas

+ Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance

**Use your skills to make an impact**

**Required Qualifications**

+ Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields

+ Demonstrated strong analytical thinking and problem-solving skills

+ Demonstrated strong interest in healthcare and desire to make a positive impact on population health

+ Flexible, dynamic personality who can work independently and collaboratively within a multi-disciplinary team

+ 2+ years of experience in applying mathematics, statistics, epidemiologic or econometric principals to transform high volumes of complex data into actionable insights

+ Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways

+ Proficient in manipulating and analyzing data with at least one of the programming languages such as Python, R

**Preferred Qualifications**

+ Healthcare or managed care working experience

+ Experience working with medical, pharmacy, lab claims

+ Experience working with big data and using PySpark, Spark R or Spark Scala

+ Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.

+ Familiarity with clinical concepts related to a broad range of clinical conditions and disease states, such as oncology, falls, palliative care, behavioral health and other chronic conditions

+ Deep understanding of healthcare payer economics, and/or other specific healthcare areas such as EMR, Episode grouper, utilization management, value-based care, low value care etc.

**Additional Information**

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$69,800 - $96,200 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

**Become a part of our caring community and help us put health first**

Humana's Clinical Analytics Team is seeking a Research Scientist (Remote). Our team identifies opportunities and builds solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana's enterprise clinical strategies and initiatives.

As a Research Scientist on the team, you will apply epidemiologic, economic, statistical principles to identify trends, assess variable associations, evaluate cause-effect relationships, and size potential opportunities using high volumes of complex data.

**Responsibilities**

As a Research Scientist on the Clinical Analytics team, you will:

+ Do exploratory analysis on populations, trends, and clinical conditions to inform potential opportunities for trend savings and clinical outcomes improvement for our members.

+ Develop models and/or rules using clinical condition in claims data, membership data, or other data sources in order to target at-risk members who will benefit most from clinical interventions.

+ Design outcomes studies and perform program evaluation using randomized controlled trials, propensity matching, difference-in-difference models, or other experimental/quasi-experimental methods.

+ Discover key drivers of intervention enrollment and engagement and evaluate ways to improve.

+ Conduct literature reviews and intervention research to assess engagement rates and treatment effect sizes of interventions that are in the early stages of design and implementation.

+ Collaborate effectively with data teams, analytic teams, finance teams, product owners, clinicians, informaticists, leaders, and other business partners to align on objectives, approaches, and work plans.

+ Write code in SQL, SAS, and Python to assemble data, create analytic variables/features, design visuals and charts, and statistical models for research/science use-cases.

+ Present your analytical plans, study protocols, intervention theories of change, and analytical work to business partners in slide decks in a way that is easy to understand.

+ Create and maintain content for insights memos, lessons learned, training, and team assets.

+ Manage and prioritize work to delivery quality analysis in a timely manner and communicate clear expectations with business partners.

**Use your skills to make an impact**

**Primary Qualifications**

+ Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields

+ 2+ years of experience that includes:

+ Skills to create datasets and analytical variables from large and complex data environments by writing code in SQL, SAS, and Python.

+ Applying research methods to transform high volumes of complex data into actionable insights.

+ Experience with experimental and quasi-experimental methods such as randomized controlled trials, propensity matching, and/or difference-in-difference models.

+ Strong interest in healthcare and desire to make a positive impact on health outcomes.

+ Ability to work collaboratively within a multi-disciplinary team, to deliver quality analytical products, and communicate results and insights clearly to business partners.

**Preferred Qualifications**

+ Healthcare or managed care working experience

+ Experience working with medical, pharmacy, and lab claims

+ Familiarity with clinical concepts, conditions, and disease states such as oncology, behavioral health, and chronic conditions

+ Knowledge of study design and outcomes research methods

+ Experience using Pyspark, DataBricks, Microsoft Azure, PowerBI, and SAS

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$69,800 - $96,200 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

**Overview**

Hello humankindness (https://hellohumankindness.org/)

Located conveniently in the heart of Phoenix, Arizona, (http://phoenix.gov/visitors/index.html) St. Joseph's 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. Joseph's was the first hospital in the Phoenix area. More than 125 years later, St. Joseph's 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. Joseph's includes the internationally renowned Barrow Neurological Institute (https://www.barrowneuro.org/) , Norton Thoracic Institute (https://www.dignityhealth.org/arizona/norton-thoracic-institute) , Cancer Center at St. Joseph's (https://www.dignityhealth.org/arizona/locations/stjosephs/services/university-of-arizona-cancer-center) , Ivy Brain Tumor Center (https://www.ivybraintumorcenter.org/) , and St. Joseph's Level I Trauma Center (https://www.supportstjosephs.org/traumacenter) (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. Joseph's among the top hospitals in the United States for neurology and neurosurgery. In addition, St. Joseph's boasts the Creighton University School of Medicine at St. Joseph's, and a strategic alliance with Phoenix Children's Hospital.

St. Joseph's is consistently named an outstanding place to work and one of Arizona's healthiest employers. Come grow your career with one of Arizona's Most Admired Companies (http://www.bestcompaniesaz.com/) .

Look for us on Facebook (http://www.facebook.com/DignityHealthStJosephsHospitalMedicalCenter) and follow us on Twitter (https://twitter.com/DignityHealthAZ) .

_For the health of our community ... we are proud_ _to be_ _a tobacco-free campus._

**Responsibilities**

We are seeking a Research Scientist to join our team! Using knowledge of scientific principles and concepts Facilitates and supports the organization's scientific research programs/projects by applying a wide variety of scientific principles. Plans and executes laboratory research. Supports manuscript preparation and participates in grant writing related to one or more of the organization's scientific research programs

Responsible for operational oversight and implementation of funded pre-clinical or translational research program(s)

Facilitates research activities in partnership with laboratory PI(s) and Research Administration leveraging scientific experience in related specialty area.

Plans and executes preclinical and or translational research.

Participates in appropriate administrative and programmatic committee work.

Serves as a liaison for internal and external project sponsors, routinely informing project plans, status updates and milestones through regular reporting.

Serves as a liaison for the training of technical personnel in the preclinical or translational program including post-doctoral fellows, residents, and graduate and undergraduate students.

Working knowledge of GCP, ICH, DHHS, OIG and FDA regulations and scientific expertise in the assigned area is required along with familiarity of all applicable federal and state regulations and institutional policies.

For translational programs, coordinates the process flow of a study from initial concept to IRB through the final study closure. Facilitates feasibility reviews based upon governing policies.

**Qualifications**

Strong expertise in analyzing next-generation sequencing (NGS) data and multi-omics data integration.

Proven ability to support research programs. Expertise and experience in large-scale genetics and omics data analysis

Three (3) years or equivalent of researchrelated experience following the Ph.D. degree.

Experience with bioinformatics tools and databases.

Education

Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field.

Special Skills

Solid computer skills. Proficient in MS Office and Google

Specialized computer analysis program experience

**Pay Range**

$40.66 - $58.96 /hour

We are an equal opportunity/affirmative action employer.

**Summary:**

Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.

**Required Skills:**

Research Scientist - Generative AI (PhD) Responsibilities:

1. Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.

2. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

3. Work with a large and globally distributed team.

4. Contribute to publications and open-sourcing efforts.

5. Help identify long-term ambitious research goals as well as intermediate milestones.

6. Prioritize research that can be applied to Meta's product development.

7. Mentor other team members. Play a significant role in healthy cross-functional collaboration.

**Minimum Qualifications:**

Minimum Qualifications:

8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

9. A PhD in AI, computer science, data science, or related technical fields.

10. Experience holding an industry, faculty, or government researcher position.

11. Publications in machine learning.

12. Experience writing software and executing complex experiments involving large AI models and datasets.

13. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

14. 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:

15. Direct experience in generative AI and LLM research.

16. 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.

17. First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

18. Experience in developing and debugging in Python.

**Public Compensation:**

$117,000/year to $173,000/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].

Summary This is a Direct Hire Authority (DHA) solicitation utilizing the DHA for Certain Personnel of the DoD Workforce to recruit and appoint qualified candidates to positions in the competitive service. About the Position: The Position is with the Futures and Concepts Center, G-3/5/7 Analysis Division Fort Huachuca, AZ duty station. The incumbent will serve as an Operations Research Analyst providing cost benefit analysis. Responsibilities Serve as a senior operations analyst with a focus on cost benefit analysis and technical authority for the interpretation and presentation of analytical findings and conclusions. Perform a broad range of cost-benefit studies in areas relating to Doctrine, Organization, Training, Materiel, Leader, Personnel, and Facility (DOTMLPF) requirements within the Department of Defense (DoD) and Army. Independently plans and accomplishes special studies/staff actions. Keep abreast of advances in state-of-the-art technology and new methods by means of membership in professional organizations, attendance at professional conferences, and consultation with other analysts in the cost and benefit analysis community. Requirements Conditions of Employment Qualifications Who May Apply: US Citizens In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Operations Research Analyst (1515): Degree: Bachelor's degree (or higher degree) in operations research; or a degree with at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: One year of specialized experience which includes which includes: 1) Applying advanced operations research, mathematics, and statistics sufficient to perform cost benefits analysis; 2) Applying knowledge of economic analyses and other cost analyses methods, models and tools, to integrate cost and benefit analyses; and 3) Leading and organizing studies of complex issues and problems to effectively plan, prepare, and support a range of economic analyses. This definition of specialized experience is typical of work performed at the next lower grade/level position in the federal service (GS-12). You will be evaluated on the basis of your level of competency in the following areas: Education ***NOTE: TRANSCRIPTS ARE REQUIRED even if you are a current federal employee.*** FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications Additional Information Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration. You will be required to provide proof of U.S. Citizenship. One year trial/probationary period may be required. Direct Deposit of Pay is required. Selection is subject to restrictions resulting from Department of Defense referral system for displaced employees. If you have retired from federal service and you are interested in employment as a reemployed annuitant, see the information in the Reemployed Annuitant information sheet. This is a(n) 36 Career Field position. Multiple positions may be filled from this announcement. Salary includes applicable locality pay or Local Market Supplement. When you perform a Civilian Permanent Change of Station (PCS) with the government, the Internal Revenue Service (IRS) considers the majority of your entitlements to be taxable. Visit https://www.dfas.mil/civilianemployees/civrelo/Civilian-Moving-Expenses-Tax-Deduction/ for more information. Permanent Change of Station (PCS) allowances MAY be authorized, subject to the provisions of the Joint Travel Regulations and an agency determination that a PCS move is in the Government Interest. The following special programs/incentives MAY be offered if it is appropriate to the position being filled and in the best interest of the government: Advanced in Hire, Advanced Leave Accrual, Recruitment or Relocation Incentives. (If offered, a signed Service Agreement will be required.)

**Job Description**

Works as an individual contributor to design, develop, execute, and implement scientific research projects to fuel Intel's growth in the areas of AI and computing. Develops machine learning algorithms, such as supervised and self-supervised learning, deep learning, reinforcement learning, Bayesian analysis, as well as neuromorphic-inspired and brain-inspired methods to solve applied problems in various disciplines such as Cognitive AI, Computer Vision, Audio, Natural Language Processing, Robotics, etc. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products typically 5+ years prior to landing on a product roadmap. Plans and executes laboratory research. Maintains substantial knowledge of state-of-the-art principles and theories. Contributes to scientific literature and conferences via paper publications. May participate in development of intellectual property. May coordinate interdepartmental activities and research efforts with universities, AI startups, and enterprise customers.

**Qualifications**

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

**Minimum Qualifications:**

The candidate must possess a Master's degree or PhD degree in Computer Science, Electrical and Computer Engineering, Electrical Engineering, or a related field.

**1+ years of experience in below areas:**

+ Natural Language Processing (NLP)

+ Computer vision and/or multimodal systems

**Preferred Qualifications:**

+ Demonstrated ability to drive state-of-the-art AI research with publications in Tier-1 venues such as AAAI, NeurIPS, ICLR, ACL, CVPR, ICML, EMNLP, ICCV, ECCV

+ Experience with Multimodal AI Systems including but not limited to multimodal transformers, multimodal language models, diffusion models, speech, and audio models.

+ Experience with structured and unstructured knowledge resources (e.g., knowledge graphs, document repositories) and their integration with transformer architectures.

+ Expertise in Python and Python libraries for ML: PyTorch, JAX, DeepSpeed, PyTorch Lightning

+ HW implementation of AI acceleration (eg: writing high performance CUDA/C++- kernels)

+ Optimization algorithms for distributed machine learning (eg: experience with algorithms such as ZeRO, elastic or asynchronous distributed training)

**Inside this Business Group**

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

**Other Locations**

US, OR, Hillsboro; US, CA, Santa Clara

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Annual Salary Range for jobs which could be performed in US, California: $186,552.00-$279,772.00

*Salary range dependent on a number of factors including location and experience

**Working Model**

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. **In certain circumstances the work model may change to accommodate business needs.**

**Overview**

Hello humankindness (https://hellohumankindness.org/)

We are extremely proud to be a nationally recognized center for quality quaternary care, medical education and research. St. Joseph's includes the internationally renowned Barrow Neurological Institute (https://www.barrowneuro.org/) , Norton Thoracic Institute (https://www.dignityhealth.org/arizona/norton-thoracic-institute) , Cancer Center at St. Joseph's (https://www.dignityhealth.org/arizona/locations/stjosephs/services/university-of-arizona-cancer-center) , Ivy Brain Tumor Center (https://www.ivybraintumorcenter.org/) , and St. Joseph's Level I Trauma Center (https://www.supportstjosephs.org/traumacenter) (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. Joseph's among the top hospitals in the United States for neurology and neurosurgery. In addition, St. Joseph's boasts the Creighton University School of Medicine at St. Joseph's, and a strategic alliance with Phoenix Children's Hospital.

St. Joseph's is consistently named an outstanding place to work and one of Arizona's healthiest employers. Come grow your career with one of Arizona's Most Admired Companies (http://www.bestcompaniesaz.com/) .

Look for us on Facebook (http://www.facebook.com/DignityHealthStJosephsHospitalMedicalCenter) and follow us on Twitter (https://twitter.com/DignityHealthAZ) .

**Responsibilities**

The Spine Biomechanics team at Barrow Neurological Institute is looking to hire a highly motivated organized and technically strong Research Engineer who is passionate about research. We are a team oriented group that collaborates directly with neurosurgeons scientists and engineers to focus on clinically relevant biomechanical studies and improvement of patient care. We are looking for a successful candidate who is flexible to perform various duties as needed but primarily focused on: management of cadaveric tissue testing operation of laboratory equipment including a testing robot and digital imaging correlation system design and implementation of study protocols and novel fixtures/test setups accurate data collection analysis and write up of results including journal article preparation.

PRIMARY JOB RESPONSIBILITIES:

• Become a leader in computational modeling efforts towards simulations of spinal movements during daily activities and in high performance sports.

• Independently develop new lab initiatives and research efforts and obtain extramural funding in support of those initiatives

• Drafting of proposals for funding final reports abstracts publications and manuscripts as needed and/or requested.

• Support day to day activities and test schedules in coordination with lab team members and external collaborators.

• Independently coordinate supervise and mentor junior personnel including graduate students.

• Collaborate fully with all staff team members collaborators and surgeons to brainstorm and implement novel studies and experiments.

• Contribute to laboratory knowledge and capabilities through past knowledge and training and/or through independent learning of new principles and their application.

• Commitment to professional conduct and institution core values and mission at all times including representation of our team and organization at offsite meetings.

• Adhere to employee policies and procedures as outlined by Dignity Health.

**Qualifications**

• Doctoral degree in engineering or MD.

• Ideal candidate has experience in a biomechanics laboratory and is very familiar with state of the art experimental and computational modeling techniques.

• Proficiency with basic computer software (e.g. CAD Excel).

• Proficiency with computational modeling software steps and procedures.

• Strong technical proficiency. Ideal candidate is able to program operate and apply testing systems measurement equipment and computer algorithms.

• Strong mechanical aptitude adept with hands on tasks.

• Ideal candidate can conceptualize design and implement novel experimental and computational studies.

• Excellent critical thinking and problem solving skills.

• Ability to innovate and/or bring new expertise to contribute towards advancement of laboratory principles and capabilities.

Administrative

• Ability to manage projects resources and people to meet project goals and timelines as needed.

• Willingness to sometimes work outside regular hours as needed to accommodate completion of study phases.

• Strong organizational interpersonal verbal and technical writing skills.

• Highly self-motivated with ability to work trouble shoot and solve problems independently. Simultaneously able to follow direction as/when needed.

• Ability to lead and implement new projects and new initiatives in coordination with all necessary laboratory and hospital staff and administration.

• Professional mature attitude; conveys team and organizational values in daily activities and decision making.

• Ability to safeguard confidential information data and intellectual property.

• Ability to work openly and communicate effectively with individuals from a wide diversity of backgrounds and professional capacities.

**Pay Range**

$40.66 - $58.96 /hour

We are an equal opportunity/affirmative action employer.

**Job Description**

Responsibilities may be quite diverse of a technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.

Geometric, Generative, and Good AI Team in Intelligent Systems Research Lab, Intel Labs conducts inter-disciplinary research for unraveling AI for humans to amplify human potential in physical and digital worlds, by creating trustworthy AI systems; AI-ficiation of complex problems; and reconstructing, animating, and securing digital personas. Research topics root from computational geometry, computer vision, and signal processing methods in 2D and 3D, to formulate problems in the specific domain and to build AI-based novel perspectives using the priors of that domain. We conduct fundamental and applied research in the context of vertical domains including manufacturing, media, enterprise, metaverse, and assistive computing.

Intel Labs is an industry-leading research organization, responsible for driving Intel's technology pipeline, product innovations, and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

G3 AI Team is looking for a motivated summer intern with experience at the intersection of machine learning and computer vision domains who can collaborate on research projects being conducted in one or more of G3 AI's focus areas. The successful candidate will be working on developing responsible AI approaches related to the integrity of digital content, including manipulated content detection, synthetic data generation, media provenance, and adversarial attacks on such systems, with one or more of modalities such as vision, audio, speech, or biological signals. Current projects span across vertical domains like manipulated media identification using biological priors, novel neural network architectures for responsible generation, or integrating media provenance to AI algorithms. In this position you will have the opportunity to conduct independent research on building multimodal learning systems and applications. Typical work would span across exploring signals and priors of different domains, data curation and database ingestion, developing, optimizing, and deploying deep learning models within different domains, and developing and applying model interpretation methods to support decision making. You will be researching fundamental concepts and methods for exploiting authenticity and fakery signals in manipulated media, building and evaluating systems and proofs-of-concept that will allow for the deployment of scalable approaches in real settings. This research will enable internal technology transfers and publication of findings in both internal and external venues. In addition to the research collaterals, building proof of concept prototypes is also expected from the candidate.

**Behavior traits:**

+ Proven track record of collaboration and technical leadership to deliver leading-edge solutions.

+ Verbal communication, technical writing, and presentation skills

+ Independent research, debugging, and prototyping capabilities.

_This is an internship position and compensation will be given accordingly._

**Qualifications**

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

**Minimum Qualifications:**

The candidate must be pursuing a Ph.D. degree in Computer Science, Computer Engineering, Electrical Computer Engineering, or any related field.

**1+ year experience in below areas:**

+ Deep Learning and Computer Vision, i.e., Generative Models, Image and Signal Processing, Multimodal Artificial Intelligence, Interpretable Machine Learning

+ Novel architectures beyond convolutional networks, such as transformers, attention modules, generative adversarial networks, conditional autoencoders, diffusion models

+ AI frameworks (e.g., PyTorch, TensorFlow, Keras, Caffe)

+ Python and/or C++ languages

+ Data analysis, statistical methods, and algorithm evaluation

**Preferred Qualifications:**

+ Publications in top DL/CV/AI/CG venues such as CVPR, ICCV, PAMI, NeurIPS, SIGGRAPH.

+ Experience in Deep Learning based techniques at the intersection of Vision, Audio, 3D, and other modalities

+ Knowledge of Computer Vision techniques such as object detection, recognition, segmentation, tracking, and reconstruction

+ Knowledge of Generative Models such as GANs, Variational Autoencoders, Blend Shapes, and Diffusion Models

+ Knowledge of Machine Learning techniques such as Adversarial Learning, Probabilistic Methods, Physics-based Models, and Model Adaptation

+ Knowledge of black-box Model Interpretability techniques for explaining model predictions and using the black-box models for designing Adversarial Attacks

**Inside this Business Group**

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $63,000.00-$166,000.00

*Salary range dependent on a number of factors including location and experience

**Working Model**

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. **In certain circumstances the work model may change to accommodate business needs.**

**Job Description**

The WSR (Wireless System Research) lab in Intel Labs is seeking an undergraduate intern in the area of Wide Area Cloud (WAC) research. The WAC research investigates, designs, and develops the system framework, algorithms, and solutions to provide integrated communication and computing services to ensure end-to-end (UE to App) QoS for the users.

**The key issues this research include:**

+ Continuum orchestration: Network/communication-aware workload orchestration, dynamic workload scheduling, security-aware orchestration, etc.

+ End-to-end QoS control, and communication and computing resource co-optimization.

+ Service-aware and multi-stream data transportation.

Research responsibilities of intern will include development and validation of emerging WAC solutions. The successful candidate will be an innovative thinker, and creative problem solver with strong programming skills. The candidate will be expected to interact with researchers within Intel Labs and internal product groups to develop and transfer technologies.

**Qualifications**

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

**Minimum Qualifications:**

+ The candidate must be pursuing a Bachelor’s degree in Electrical Engineering, Electrical & Computer Engineering, Computer Science, Computer Engineering or in related field.

**6+ months experience in below areas:**

+ C, C++, Python (working knowledge), MATLAB, Linux

+ Digital Signal Processing; Data Structures

+ Cloud-native architecture, Kubernetes

**Preferred Qualifications:**

+ x86 assembly

**Inside this Business Group**

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

**Posting Statement**

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

**Benefits**

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $40,000.00-$108,000.00 (Hourly Role)

*Salary range dependent on a number of factors including location and experience

**Working Model**

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. **In certain circumstances the work model may change to accommodate business needs.**