Research Scientist 2 at Humana in Boise, Idaho, United States Job Description Become a part of our caring community and help us put health first The Research Scientist 2 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. Humana's Home Solutions Analytics Team is seeking a Research Scientist 2 (Remote). Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Home Solutions Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for Centerwell Home Health members by leveraging data science & 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 Centerwell's future enterprise clinical strategies and initiatives. The Research Scientist 2 applies mathematical, statistical, epidemiologic and data science principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities to drive improvement in population health and reduction of healthcare cost using high volumes of structured and unstructured data. Responsibilities As a Research Scientist 2, you will: + Research, prototype and scale new ideas to impact home health and improve patient outcomes + 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 actionable insights + Collaborate with our business partners define various clinical concepts and extract information from claims and home health data 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 + Bachelor's To view full details and how to apply, please login or create a Job Seeker account

Research Scientist - Generative AI (PhD) at Meta in Boise, Idaho, United States Job Description 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 . To view full details and how to apply, please login or create a Job Seeker account

Building Energy Research Scientist at Pacific Northwest National Laboratory in Boise, Idaho, United States Job Description Overview The Electricity Infrastructure and Buildings Division of PNNL is accelerating the transition to a decarbonized, efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and in advanced data analytics to drive innovation, transform markets, and shape energy policy. The Building Systems Group at the Pacific Northwest National Laboratory (PNNL) is seeking an experienced Building Systems Research Scientist with an interest in helping the building industry understand and implement the latest technologies, techniques, and best practices to make buildings more energy efficient and resilient to climate change. Candidates should have a background that includes building science, building construction, and a high level of familiarity with the latest tools and products used to effectively communicate to the industry how and why to adopt the latest building energy efficiency materials, technologies, and construction approaches. Technical background with residential building technologies such as heat pumps and advanced thermal enclosures is a plus. This position will support the residential and commercial buildings research teams at PNNL. The ideal candidate will be passionate, driven and be motivated to contribute to efforts to expand current areas of study. Responsibilities The position requires solid analytical and strong communication skills (including writing, editorial, and training skills), and the ability to both lead and work in teams with federal agencies, states, regional energy efficiency organizations, trade groups, utilities, and other program providers. The position will also involve communication with leading scientists, engineers and managers at DOE and its national laboratories, with consultants and academics, at utility and market transformation organizations, with manufacturers and trade organizations, and with all facets of the supply chain and market, including consumers. The position requires solid analytical skills, knowledge and experience related to the analysis and communication of building science and technology concepts, products, and techniques that are focused on energy efficiency: + Energy systems servicing the residential sectors including energy efficiency technologies and policies. + Development of communication and training products and deliverables that include printed, video, web-based, and social media. + Energy and energy efficiency market strengths, structures, barriers, climate considerations, code limitations, supply chain opportunities, and demographics. + Behavior of consumers, manufacturers, utilities and product supply chains and how they interact with and value energy efficient performance. + Communication, interaction, and collaboration with a range of stakeholders including manufacturers, supply chain businesses, trade groups, utilities, buyers' groups, energy efficiency orgs/policymakers, and consumers. Occasionally travel to attend conferences and present results of work in a variety of forums, support relevant education in public forums and webinars, in meetings with DOE and other national laboratories, in PNNL internal meetings, or conferences, and in stakeholder meetings. Qualifications Minimum Qualifications: + BS/BA and 5+ years of relevant experience OR + MS/MA and 3+ years of relevant experience OR + PhD with 1+ year of relevant experience Preferred Qualifications: + Education in the areas of building sciences, science & technology communications, data sciences, stakeholder engagement, or public policy. + Demonstrated experience with the development and editing of communication and training products and deliverables that include printed, video, web-based, and social media associated with building science, building construction, and building energy savings technologies and construction techniques. + Demonstrated experience in the building energy science or policy field, technology assessment, development and distribution of communication products that can make highly technical/complex processes and technologies understandable for building industry stakeholders. + Experience in the construction industry. Hands-on experience in building residential buildings, working with contractors, and addressing and solving residential building construction issues and challenges. Hazardous Working Conditions/Environment Not Applicable Additional Information 'Referral Eligible' Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment. Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at . Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. HSPD-12 PIV Credential Requirement In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufact To view full details and how to apply, please login or create a Job Seeker account

Research Scientist at Pearson in Boise, Idaho, United States Job Description The Research Scientist position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team. Pearson research scientists provide the full range of psychometric support to state and national customers, develop innovative techniques and processes, and conduct cutting-edge research studies. The education, experience, and responsibilities associated with this position include: Education and Work Experience + Doctoral degree in educational measurement or a related field from a nationally recognized institution of higher education + AND at least one year of relevant job experience, preferably with a testing program that has gone through a complete operational cycle OR at least one year of relevant job experience on a significant grant-funded research project Familiarity with Psychometric Techniques or Techniques Associated with Other Relevant Areas of Expertise + Has experience with applied psychometric techniques in a job setting-including classical test theory, item response theory, test equating, scaling, linking, and standard setting + OR experience with applied techniques associated with the scientist's specific area of expertise Familiarity with Software Packages and Programming Languages + Has experience with software packages and programming languages commonly used in psychometric work or measurement research (e.g., SAS, R, SPSS, WINSTEPS, IRTPro, PARSCALE, C++, MPLUS) + OR experience with software (Matlab, IDL, PERL, Java, Javascript, XML) associated with the scientist's specific area of expertise Scaling and Equating + Shows sufficient familiarity with common scaling and equating designs to review and draft technical documentation, (including technical specifications) + Conducts and guides analyses for item calibration, linking, and equating + Designs, documents, (including technical specifications), and conducts analyses for item calibration, linking, and equating Grants, Research, and External Funding + Develops study design and research analysis specifications for proposed research studies + Identifies study limitations and study parameters to optimize analyses and design in grants/applications for external funding and in research publications Test Construction/Field Testing + Works closely with other research scientists, data analysts, subject-matter experts, and/or clients/customers in the con To view full details and how to apply, please login or create a Job Seeker account

Senior Clinical Research Scientist at Humana in Boise, Idaho, United States Job Description Become a part of our caring community and help us put health first Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries leveraging data science & 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 future enterprise clinical strategies and initiatives. The Senior Research Scientist applies mathematical, statistical, epidemiologic and data science principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities to drive improvement in population health and reduction of healthcare cost using high volumes of structured and unstructured data. The Senior Research Scientist will have the opportunity to exercise considerable latitude in determining objectives and approaches to assignments. Responsibilities As a Senior Research Scientist, you will: + Research, prototype and scale new ideas to impact population health and cost of healthcare + 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 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, Mathematics, Data Science, Data Analysis and/or related fields + Experience working with healthcare data and/or strong interest in healthcare and desire to make a positive impact on population health + 3-5 To view full details and how to apply, please login or create a Job Seeker account

Research Scientist Jobs in Boise, ID

Research Scientist 2
November 17, 2024

Research Scientist Generative Ai Phd
November 13, 2024

Research Scientist 2
November 13, 2024

Building Energy Research Scientist
October 30, 2024

Research Scientist
October 29, 2024

Senior Clinical Research Scientist
October 23, 2024

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Research Scientist Jobs in Boise, ID

Research Scientist 2November 17, 2024

Research Scientist Generative Ai PhdNovember 13, 2024

Research Scientist 2November 13, 2024

Building Energy Research ScientistOctober 30, 2024

Research ScientistOctober 29, 2024

Senior Clinical Research ScientistOctober 23, 2024