Geneticists

We Are

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-ai?c=acn\_glb\_largelanguagemonewsroom\_13451725&n=mrl\_0323) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

+ You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

+ You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

+ As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.

+ As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.

+ You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work

+ Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.

+ Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.

+ Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.

+ Lead technical teams and grow true AI expertise within broader team including offshore

+ Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.

+ Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.

+ Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.

+ Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.

+ Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's What You Need

+ Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.

+ Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.

+ Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.

+ Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns.

+ Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.

+ Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.

+ Minimum of 4 years of proven experience with processor and system-level performance modelling.

+ Minimum of 2 years of experience of technical team management or team mentoring.

+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years' work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $73,000 to $220,400

Colorado $73,000 to $190,400

New York $67,600 to $220,400

Washington $77,700 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

We Are

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-ai?c=acn\_glb\_largelanguagemonewsroom\_13451725&n=mrl\_0323) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

+ You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

+ You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

+ As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.

+ As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.

+ You'll also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work

+ Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.

+ Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.

+ Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.

+ Lead technical teams and grow true AI expertise within broader team including offshore

+ Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.

+ Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.

+ Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.

+ Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.

+ Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's What You Need

+ Minimum of 6 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.

+ Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.

+ Minimum of 6 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.

+ Minimum of 6 years of working knowledge and familiarity with different LLM driven application architecture patterns.

+ Minimum of 6 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.

+ Minimum of 6 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.

+ Minimum of 6 years of proven experience with processor and system-level performance modelling.

+ Minimum of 3 years of experience of technical team management or team mentoring.

+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $131,100 to $336,900

Colorado $131,100 to $291,100

New York $121,400 to $336,900

Washington $139,600 to $309,900

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

**Summary:**

Meta is seeking a Research Scientist to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Scientist on the Embodied AI team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, AR, and VR, and sharing this research with the world. You will be responsible for pushing the state of the art in dexterous robot manipulation, by developing novel representation learning algorithms to improve a robot’s sense of touch.

**Required Skills:**

Research Scientist, Computer Vision - Embodied AI (FAIR) Responsibilities:

1. Conduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing capabilities on robot hands.

2. Design and conduct experiments, analyze data, and document the findings in the form of technical reports and publications.

3. Collaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findings.

4. Write high quality, readable code that can be used and built upon by team members and the research community when open sourced.

**Minimum Qualifications:**

Minimum Qualifications:

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

6. Currently has, or is in the process of obtaining a PhD degree in Computer Science, Robotics, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

7. Experience with programming languages such as Python, C++, or similar.

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

**Preferred Qualifications:**

Preferred Qualifications:

9. 2+ year(s) of work experience in an industry, university, or government lab

10. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), or Computer Vision (CVPR, ICCV, ECCV).

11. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.

12. Experience with the following: representation learning, self-supervised learning, transfer learning, robotic manipulation, tactile sensing.

13. Strong analytical and problem-solving skills.

14. Excellent communication and collaboration skills.

**Public Compensation:**

$143,000/year to $208,000/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:**

The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of LLMs, particularly focusing on massive-scale datasets. As a technical leader of our team, you will play a critical role in building our series of LLama models. This year we published and released LLama2 open for research and commercial use, and launched Meta AI in our chat apps and on Ray-Ban Meta Smart Glasses. We're currently training our next-gen model Llama 3, and we're building massive compute infrastructure to support our future roadmap. In addition to supporting the entire LLM ecosystem publicly with the LLama series, Meta AI is building an assistant that is social, more capable, more personal, and more ubiquitous.

**Required Skills:**

Research Scientist Manager, Generative AI - LLama Responsibilities:

1. Deliver massive-scale datasets for training the next generation of LLama models

2. Drive execution of NLP developing datasets end-to-end, including sourcing, curation, quality filtering, measurement, synthetic data, experiment design, across all sources of knowledge, and more

3. Grow a team of domain experts within Language Data Foundation of Generative AI

4. Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects

5. Remain up-to-date on ongoing research and software development activities in the team, help work through technical challenges, and be involved in design decisions

6. Remain deeply involved in the research community, both understanding trends, and setting them

**Minimum Qualifications:**

Minimum Qualifications:

7. 5+ years of hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development

8. Experience and track of recording in landing large research and/or product impacts in a fast-paced environment

9. 3+ years of hands on supporting and leading teams of research scientists and software engineers

10. Proven technical vision in where the field of generative AI will go

11. Experience in developing large-scale AI datasets, models, and/or services

12. Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions

13. Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management

**Preferred Qualifications:**

Preferred Qualifications:

14. PhD in deep learning, artificial intelligence, and/or related technical field

15. Experience building massive-scale datasets to train NLP and/or multimodal models

16. Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.

17. Experience and knowledge of large-scale data platforms such as Spark, Hive, etc.

18. Experience and knowledge of working with LLM frameworks like LangChain

19. Experience and knowledge of training LLMs, fine-tuning on datasets, especially LLaMa

**Public Compensation:**

$177,000/year to $251,000/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].

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

The Research Scientist participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings. The Research Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

As a Research Scientist, you will:

+ Collaborate with analytic and data 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 actionable 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, 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 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

+ Experience manipulating and analyzing data using Python, SAS, R, or similar software

**Preferred Qualifications**

+ Healthcare or managed care working experience

+ Experience working with medical, pharmacy, lab claims

+ Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states - experience with oncology, behavioral health and chronic conditions would be particularly valuable

+ Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques

+ Experience using Pyspark, DataBricks, and/or Microsoft Azure

**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**

The Senior Research Scientist participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings. The Senior Research Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Through the design and implementation of various types of research studies and the strategic interpretation of data, the mission of Humana Healthcare Research (HHR) is to produce high-quality, actionable evidence and rigorous, peer-reviewed research to improve health outcomes, guide Humana's strategy, and advance the body of knowledge for the scientific community and society at large. Areas of focus include, but are not limited to, internal pharmacy comparative effectiveness research; policy, payment, and care delivery; and health equity and the impact of social determinants of health on outcomes. HHR also maintains external partnerships with industry, government, academia, and others to produce research important to internal and external stakeholders.

HHR needs your research study design and analytical skills to help us tell a compelling story about healthcare today. We're a team of research professionals passionate about combining and analyzing diverse types of data to extract new, actionable discoveries about our members and their health-related behaviors. We encourage you to dive into your passion for research, data and use analysis to help Humana tell the health-and-wellness stories of our members. A successful candidate will be knowledgeable in various methodologies such as propensity score analysis, inverse probability treatment weighting, difference in difference, interrupted time series analysis, regression discontinuity designs, etc. and have experience designing retrospective observational studies using administrative claims data.

**Assignment Capsule:**

As part of the HHR team, you will work collaboratively to design and conduct outcomes research studies:

+ Identify and understand business and clinical issues to map these issues into quantitative questions.

+ Contribute to study conceptualization, literature reviews and protocol development.

+ Design scientifically valid research studies to answer relevant questions.

+ Explore relevant data sources to understand what metrics can be produced.

+ Coordinate the integration of data to determine clinical and economic trends and impact.

+ Work with complex health care databases to produce statistical output and interpret results.

+ Report results for studies through presentations, abstracts and publications.

+ Communicate insights and analytical findings to a broad range of audiences.

**Use your skills to make an impact**

**Required Qualifications**

+ Bachelor's degree in health services research, statistics, quantitative social science or related analytical focused field.

+ Substantial experience working on large and dynamic real-world data sources, such as administrative claims databases and electronic health records, for observational studies and real-world evidence generation.

+ Experience using various technical and analytical tools to manipulate and draw insights from large, complex data sets.

+ Knowledgeable in research study designs and various methods for causal inference.

+ Knowledge and experience with SAS.

+ Proficiency in at least one statistical coding language.

+ Ability to work independently and efficiently to manage multiple competing projects and initiatives.

+ Strong verbal and written communication with the ability to communicate analytical data and insights to a wide variety of consumers.

+ Experience working collaboratively on research teams and with peers.

+ Previous experience creating a research/analytical plan, completing in depth analysis on large data sets, communicating the outcomes or findings to others.

+ Must be passionate about contributing to an organization focused on continuously improving consumer experiences.

**Preferred Qualifications**

+ Master's Degree or PhD in outcomes research, epidemiology, pharmacoepidemiology, public health, health services research or related quantitative or analytical field.

+ Exposure to clinical, claims, pharmacy or other healthcare data.

**Additional Information**

At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. If you share our passion for helping people, we likely have the right place for you at Humana.

After applying, we encourage you to join our Talent Network as well, so you can stay informed and up to date on what's happening around our organization in the changing world of healthcare.

**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.$93,000 - $128,000 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.

The Research Scientist is responsible for the coordination and administration of clinical trials. This individual develops, implements, and coordinates research and administrative procedures for the successful management of clinical trials. This role performs diverse administrative duties requiring critical thinking and analysis, sound judgment, and a high level of knowledge of study specific protocols. Along with the Director of Research for Neuroscience, this position maintains oversight of the neuroscience research portfolio to ensure steady growth and alignment with institutional goals.

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

Humana's Clinical Analytics Team is seeking a Senior 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 Senior 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 Senior Research Scientist in Clinical Analytics, 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 your work so that you delivery quality analysis in a timely manner and communicate clear expectations with business partners.

**Primary Qualifications**

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

+ 5+ 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, or difference-in-difference models.

+ Publication of health outcomes research.

+ 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 work, and communicate results and insights clearly to business partners.

**Use your skills to make an impact**

**Preferred Qualifications**

+ Doctorate degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, and/or related fields

+ Healthcare or managed care working experience

+ Experience working with medical, pharmacy, and lab claims

+ Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states - experience with oncology, behavioral health and chronic conditions would be particularly valuable

+ Demonstrated familiarity with hypothesis testing, statistical methods, and/or comparative effectiveness study design and modeling techniques

+ 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.$93,000 - $128,000 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.

**Description**

A.T. Still University’s Arizona School of Dentistry & Oral Health (ATSU-ASDOH) invites applications for an exempt Assistant Professor, Oral & Maxillofacial Surgery on the Mesa, Arizona campus. This position will conduct teaching, patient care, scholarly and service activities in support of the mission, goals and objectives of the School and University with primary responsibility to facilitate the students’ preclinical and clinical experience in Oral & Maxillofacial Surgery from foundational knowledge and clinical skills to demonstrating competency in patient-centered care that integrates biomedical, behavioral and clinical sciences.

**Major Job Duties:**

+ General – promote an atmosphere of respect, collegiality, commitment to diversity and social justice, and humanistic learning environment.

+ General – conduct teaching, scholarship, service and patient care in support of the mission and goals of ASDOH and ATSU.

+ Teaching – preclinical and clinical supervision as an Oral Surgeon with direct hands on in the Simulation Lab and ASDOH clinics; effectively carry out lecture, seminar, preclinical and clinical assignments as assigned, with a focus on Oral & Maxillofacial Surgery.

+ Service – Participate in committees, faculty governance, professional societies and associations, community events, and provision of CE.

+ Scholarship - As workload allows, establish and maintain activity in area of expertise.

**Job Responsibilities:**

1. PreClinical and Clinical Supervision: Provide direct hands on supervision of predoctoral dental students in simulation and patient care activities within the scope of general dentistry with a focus on oral & maxillofacial surgery; provide clinical supervision of ASDOH residents as assigned.

2. Oversee the development, implementation, revision and assessment of curriculum as assigned, integrating oral & maxillofacial surgery with other predoctoral curriculum, including behavioral, biomedical and clinical sciences.

3. Documentation: Complete documentation on student performance/progress towards competency; review and approve EHR documentation in clinic and simulation lab.

4. Coordinate with responsible Administrators & Asst/Assoc Deans in Clinic and Simulation Lab to establish protocols related to curriculum responsibility areas; enforce clinic policy including infection control, QI, risk management, recordkeeping, etc & assure safety. Support Director of Clinic Operations in the supervision and direction of clinic support staff.

5. Provide direct hands on patient care in ASDOH Clinics that supports community service, efficient clinic operations, student/resident education, or when in the best interest of the patient (e.g: guiding, demonstration and completion of oral surgical procedures in support of students, residents and faculty).

6. Effectively carry out lecture, seminar and clinical assignments and responsibilities as assigned, including appropriate student assessment and documentation.

7. Provide faculty development, training, and calibration related to curricular content.

8. Other responsibilities as assigned.

**Position Requirements and Preferences:**

+ **Education** : Completion of an advanced education program in OMFS from an institution accredited by the American Dental Association Commission on Dental Accreditation (CODA); Board Eligible / Board Certified in OMFS.

+ **Experience** : At least five years’ experience in clinical oral surgery practice (time in advanced graduate training in oral surgeon may be included).

+ **Preferences** : Eligibility for dental licensure in Arizona; DDS or DMD from a CODA accredited program; experience in academics, clinical research and private clinical practice.

+ Excellent communication, problem solving, crisis management and organizational skills, high emotional intelligence, tact and diplomacy.

+ Must be able to be self-directed and take the initiative.

+ Must be highly skilled in clinical oral surgery; willing and able to act as a “hands-on” faculty instructor (e.g.; clinic demonstration, direct student observation of clinical activity).

ATSU offers a comprehensive benefits package including medical, dental, and vision coverages, among more. If eligible, employee-elected benefits would begin the first of the month following hire date. For more information, please visit: atsu.edu/employment/benefits .

**Qualifications**

**Skills**

**Required**

+ **Teaching:** Intermediate

+ **Communication:** Intermediate

+ **Problem Solving Ability:** Intermediate

+ **Self-Direction:** Intermediate

In demonstrating mutual respect for all members of the ATSU community, ATSU is an Equal Employment Opportunity (EEO). Meeting this mission requires serving together in mutual respect of one another’s functions and each person’s importance as an individual.

**Description**

A.T. Still University 's Arizona School of Health Sciences (ATSU-ASHS) is seeking applications for a non-exempt adjunct assistant professor, Audiology. The adjunct assistant professor will be responsible for organizing, supervising, coordinating, and evaluating assigned instructional components of the curricula. In addition, the adjunct assistant professor is responsible for coordinating remedial and tutorial activities in instructional areas. Adjunct faculty will participate in faculty development training sessions and interactions with departmental committees when appropriate and assigned by the chair.

Must have knowledge and background to teach in the selected area of the audiology curriculum. Experience may be in an area other than audiology if appropriate for the topic to be taught.

**Job Duties Include:**

+ Course/curriculum development; updating/posting course materials, activities and assessments.

+ Grading and responding to the student inquiries.

+ Student tutorial/remedial instruction, as needed.

Please note that adjunct positions are only filled on an as-needed basis.

**Qualifications**

**Skills**

**Required**

+ **Communication:** Intermediate

+ **Instructing:** Intermediate

+ **Problem Solving Ability:** Intermediate

+ **Flexibility:** Intermediate

**Education**

**Required**

+ Masters or better

In demonstrating mutual respect for all members of the ATSU community, ATSU is an Equal Employment Opportunity (EEO). Meeting this mission requires serving together in mutual respect of one another’s functions and each person’s importance as an individual.