SAS Programmer jobs at Kaiser Permanente - 312 jobs

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. The Opportunity: Our Principal Data Scientist will work out of our Alameda, California location. This individual works as an integral part of a collaborative data and analytics team and responsible for analyzing real-world data to generate insights and develop machine learning models that drive the development and optimization of devices in Abbott Diabetes Care. The role requires drawing insights, and presenting results in a cohesive, intuitive, and simple manner to the functional stakeholders utilizing technologies to collect, clean, analyze, predict, and effectively communicate insights. Key functional stakeholders include research & development, clinical, medical, regulatory and market access teams. What you will do: Analyze large real-world datasets including device data, electronic health records (EHR), claims data, labs, and patient registries. Lead the design and execution of RWE studies including but not limited to: Treatment optimization and understanding treatment patterns Comparative effectiveness analyses Drug and device utilization Natural history and burden of disease Healthcare resource utilization Define and develop research strategy in line with business goals and guide the execution of the work across the team Collaborate with clinical, medical, regulatory, product managers and market access teams to integrate RWE into product development and lifecycle management. Execute key studies autonomously including but not limited to: Conduct advanced statistical analyses to determine trends and significant data relationships using techniques such as regression, time-series forecasting, clustering, decision trees, simulation, and scenario modeling. Develop and validate machine learning models and algorithms to apply predictive analytics to future data. Utilize technologies to collect, clean, analyze, and effectively communicate insights, including model logic and limitations. QUALIFICATIONS Bachelor's Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred Advanced degree in Life or Physical Science, Bioengineering, Biostatistics, Biomedical Engineering, Epidemiology or closely related discipline is preferred Minimum 8 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software The base pay for this position is $128,000.00 - $256,000.00. In specific locations, the pay range may vary from the range posted. #J-18808-Ljbffr

A leading global healthcare company in Sunnyvale is seeking a Principal Data Scientist to analyze real-world data and develop machine learning models that optimize diabetes care devices. The ideal candidate will have extensive experience in data analytics, programming skills in Python and R, and a strong background in statistical analysis. This position offers a competitive salary range from $128,000 to $256,000 based on experience and location. #J-18808-Ljbffr

City/State Virginia Beach, VA Work Shift First (Days) Sentara is hiring for a Senior Data Scientist! is fully remote. We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Become a part of our caring community and help us put health first The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Humana's Healthcare Quality & Reporting Improvement (HQRI) department is seeking a Senior Data Scientist to join a high-performing team dedicated to advancing predictive modeling and analytics in support of our Medicare and Medicaid business. The HQRI team plays a pivotal role within Humana, delivering insights that drive the effectiveness of risk adjustment initiatives. The Senior Data Scientist in this role will empower risk adjustment decision makers through predictive analytics. They will provide actionable, accurate, and reliable solutions to support our operations and finance partners' business needs. They will put the customer first, delivering timely and clearly communicated results. Objectives Within six months, take ownership of at least 2 of our major models Within one year, improve our models by increasing efficiency, building a new model/process, and/or improving the accuracy of an existing model Responsibilities Utilize mathematics, statistics, and programming to generate predictions that drive risk adjustment operations and strategy Partner with peers and supervisors to establish an overall collaborative working relationship Deliver complex information in the manner most useful to the customer, utilizing tables, charts, graphs, filters, etc. to make clear the most important aspects of the information presented Seek always to understand customers' needs and work in partnership with customers to develop solutions that satisfy those needs Use your skills to make an impact Required Qualifications Bachelor\'s Degree and 5 years of applicable experience OR Master\'s Degree and 3 or more years of experience Proficiency with one of the following: SQL, SAS, R or Python Experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Ability to use independent judgment requiring analysis of variable factors and determining the best course of action. Preferred Qualifications Master's degree or higher education Experience in health care, insurance, or risk adjustment This position is remote and work can be performed anywhere in the US; however, preference is for candidates to be located within reasonable commutable distance to Louisville, Kentucky. Additional Information To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 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. $117,600 - $161,700 per year This 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. Application Deadline: 09-10-2025 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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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 *************************************************************************** #J-18808-Ljbffr

Become a part of our caring community and help us put health first Humana is seeking a Senior Responsible AI Data Scientist to champion the ethical development of artificial intelligence across our organization. This is a highly cross‑functional position requiring deep technical expertise in AI and machine learning and a passion for advancing Responsible AI initiatives through collaboration with diverse stakeholders across the enterprise, including legal, compliance, education, and IT. In this role, you will contribute to both research and development (R&D) and software development efforts while supporting the implementation of scalable frameworks for ethical, transparent, fair, and organizationally‑aligned AI solutions. You will help ensure that our AI systems are innovative, high‑impact, and always guided by Humana's core values and regulatory standards. Key Responsibilities Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards. Champion transparency, accountability, and trust in all AI and data science practices. Drive and contribute to R&D efforts to advance innovative, high‑impact, and ethically‑grounded AI solutions in healthcare. Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards. Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana's AI ecosystem. Partner cross‑functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization. Support and help evolve Humana's Responsible AI governance initiatives, policies, and standards. Serve as an internal consultant and subject matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation. Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non‑technical stakeholders. Use your skills to make an impact Required Qualifications Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in a quantitative field. Proficiency in development of Python software tools and applications for data scientists. Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards Extensive hands‑on experience developing and deploying Generative AI and traditional machine learning applications at scale Experience with analysis of structured and unstructured data, and building end‑to‑end analytical workflows. Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real‑world projects. Proven ability to collaborate with cross‑functional teams to address complex governance challenges. Excellent communication skills, with the ability to convey technical and ethical considerations to non‑technical stakeholders. Preferred Qualifications Prior experience working in healthcare, health tech, or highly regulated industries. Record of publication or thought leadership in Responsible AI or related fields. Additional Information Location/Work Style: Remote US Why Humana? 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. Just to name a few: Work‑Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well‑being program Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi‑weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 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. $117,600 - $161,700 per year This 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. Application Deadline: 12-01-2025 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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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 link. #J-18808-Ljbffr

Become a part of our caring community and help us put health first Humana is seeking a Senior Responsible AI Data Scientist to champion the ethical development of artificial intelligence across our organization. This is a highly cross‑functional position requiring deep technical expertise in AI and machine learning and a passion for advancing Responsible AI initiatives through collaboration with diverse stakeholders across the enterprise, including legal, compliance, education, and IT. In this role, you will contribute to both research and development (R&D) and software development efforts while supporting the implementation of scalable frameworks for ethical, transparent, fair, and organizationally‑aligned AI solutions. You will help ensure that our AI systems are innovative, high‑impact, and always guided by Humana's core values and regulatory standards. Key Responsibilities Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards. Champion transparency, accountability, and trust in all AI and data science practices. Drive and contribute to R&D efforts to advance innovative, high‑impact, and ethically‑grounded AI solutions in healthcare. Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards. Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana's AI ecosystem. Partner cross‑functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization. Support and help evolve Humana's Responsible AI governance initiatives, policies, and standards. Serve as an internal consultant and subject‑matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation. Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non‑technical stakeholders. Use your skills to make an impact Required Qualifications Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in a quantitative field. Proficiency in development of Python software tools and applications for data scientists. Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards Extensive hands‑on experience developing and deploying Generative AI and traditional machine learning applications at scale Experience with analysis of structured and unstructured data, and building end‑to‑end analytical workflows. Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real‑world projects. Proven ability to collaborate with cross‑functional teams to address complex governance challenges. Excellent communication skills, with the ability to convey technical and ethical considerations to non‑technical stakeholders. Preferred Qualifications Prior experience working in healthcare, health tech, or highly regulated industries. Record of publication or thought leadership in Responsible AI or related fields. Additional Information Location/Work Style: Remote US Why Humana? 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. Just to name a few: Work‑Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well‑being program Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi‑weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from ******************** with instructions on how to add the information into your official application on Humana's secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 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. $117,600 - $161,700 per year This 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. Application Deadline: 11-16-2025 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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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 accessibility resources. #J-18808-Ljbffr

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Our work is conducted primarily on-site at our client location in Bethesda, MD. Fun stuff you will do: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience. Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team. Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement To be successful in this role you need the following (required): B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master's Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph Proficiency in one or more scripting languages such as Python Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift. Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL) Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won't fit in memory. Track record of active learning and creative problem solving Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions. Familiarity using git or other version control technologies Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision You will wow us even more if you have some of these skills: A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Experience developing predictive algorithms, image classifiers, object detectors, and others. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing. Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr

Become a part of our caring community and help us put health first The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Growth Analytics & AI within Humana is dedicated to transforming members' journeys and Humana's services using technology and analytics. We are looking for a Data Scientist who will be responsible for using mathematics, statistics, NLP, Generative AI, and machine learning to analyze complex data and deliver insights. In this multi-disciplinary team, you will have the opportunity to work closely with various partners, including IT, sales, and strategy partners, to positively identify potential opportunities using high volumes of complex data. This is a unique opportunity for a motivated individual to influence Humana's vision around member growth and experiences. Our goal is to create an impactful AI solution to improve healthcare experience and outcomes for our members. As a Data Scientist, you will develop advanced analytic solutions, engaging with customers, and creating reusable statistical models and generative AI solutions. You will create reports, projections, models, and presentations to support business strategy and objectives, and communicate insights with leaders (technical and non-technical). Key Responsibilities Develop and validate machine learning and statistical analysis using Python, R, SQL, programming languages and packages Design Generative AI solutions using Python, generative models like LLMs (API and open-source models), and frameworks (i.e., LangChain, LangGraph, Google Agent Development Kit) Develop, maintain, and collect structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Interpret and communicate analytic results to analytical and non-analytical business partners Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities, especially generative AI Use your skills to make an impact Required Qualifications Bachelor's Degree with at least 4 years of technical experience OR a Master's Degree in Math, Computer Science, Analytics, Quantitative Social Sciences, or related analytical field and 1 year of experience Proficiency in SQL, Python, and data analysis/data mining tools Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch Experience with large language models, transformers, and model providers Preferred Qualifications Ph.D. in a quantitative discipline, such as Computer Science, Data Science, Machine Learning, or related field Prior experience in healthcare Experience in Big Data environment, specifically PySpark and/or Databricks Experience in cloud computing, Azure, AWS, or GCP Clear and concise oral and written communication skills Ability to communicate statistical concepts to broad audiences Hands‑on experiences deploying Generative AI solutions Additional Information Visa sponsorship is not available for this position. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 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. $97,900 - $133,500 per year This 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. Application Deadline: 01-15-2026 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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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 *************************************************************************** #J-18808-Ljbffr

A healthcare services company is seeking a Data Scientist to transform complex data into actionable insights utilizing advanced analytics, including machine learning and statistics. The ideal candidate will have a background in math, computer science, or analytics with proficiency in SQL and Python, and experience in collaborating with various business teams. The role offers competitive compensation with a salary range of $97,900 - $133,500 per year, along with comprehensive benefits including medical and retirement options. #J-18808-Ljbffr

Become a part of our caring community and help us put health first The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Growth Analytics & AI within Humana is dedicated to transforming members' journeys and Humana's services using technology and analytics. We are looking for a Data Scientist who will be responsible for using mathematics, statistics, NLP, Generative AI, and machine learning to analyze complex data and deliver insights. In this multi-disciplinary team, you will have the opportunity to work closely with various partners, including IT, sales, and strategy partners, to positively identify potential opportunities using high volumes of complex data. This is a unique opportunity for a motivated individual to influence Humana's vision around member growth and experiences. Our goal is to create an impactful AI solution to improve healthcare experience and outcomes for our members. As a Data Scientist, you will develop advanced analytic solutions, engaging with customers, and creating reusable statistical models and generative AI solutions. You will create reports, projections, models, and presentations to support business strategy and objectives, and communicate insights with leaders (technical and non-technical). Key Responsibilities Develop and validate machine learning and statistical analysis using Python, R, SQL, programming languages and packages Design Generative AI solutions using Python, generative models like LLMs (API and open-source models), and frameworks (i.e., LangChain, LangGraph, Google Agent Development Kit) Develop, maintain, and collect structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Interpret and communicate analytic results to analytical and non-analytical business partners Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities, especially generative AI Use your skills to make an impact Required Qualifications Bachelor's Degree with at least 4 years of technical experience OR a Master's Degree in Math, Computer Science, Analytics, Quantitative Social Sciences, or related analytical field and 1 year of experience Proficiency in SQL, Python, and data analysis/data mining tools Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch Experience with large language models, transformers, and model providers Preferred Qualifications Ph.D. in a quantitative discipline, such as Computer Science, Data Science, Machine Learning, or related field Prior experience in healthcare Experience in Big Data environment, specifically PySpark and/or Databricks Experience in cloud computing, Azure, AWS, or GCP Clear and concise oral and written communication skills Ability to communicate statistical concepts to broad audiences Hands‑on experiences deploying Generative AI solutions Additional Information Visa sponsorship is not available for this position. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 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. $97,900 - $133,500 per year This 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. Application Deadline: 01-15-2026 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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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 *************************************************************************** #J-18808-Ljbffr

A technology services firm in Bethesda, MD, is seeking a Data Scientist to enhance national security through data analytics. Responsibilities include collaboration with data science and software teams to create impactful analytics platforms. Candidates should have a B.S. in a quantitative field, active TS/SCI clearance, and extensive experience in data science. This role involves managing big data across different domains and presenting insights to a diverse audience. Competitive compensation and growth opportunities are offered. #J-18808-Ljbffr

A healthcare services provider is seeking a Data Scientist to transform complex data into advanced analytic solutions. This role involves developing machine learning models, designing AI solutions, and collaborating with various business partners. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and experience with SQL, Python, and machine learning frameworks. This position allows for remote work, with occasional travel to the company's offices for training or meetings. #J-18808-Ljbffr

A prominent defense contractor is seeking a Data Scientist Subject Matter Expert (SME) to lead complex data science projects focused on geospatial intelligence. The ideal candidate will have at least 10 years of experience, expertise in machine learning, and strong Python skills. Responsibilities include mentoring junior data scientists, developing advanced models, and collaborating with mission experts. A Top Secret clearance is required. This role offers a chance to work on critical national security challenges in a flexible work environment. #J-18808-Ljbffr

United States - California - Foster City Clinical Development & Clinical Operations Regular Gilead's AI Research Center(ARC) is looking for a Senior Data Scientist to spearhead the development of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide technical expertise and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be an innovator in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands‑on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager‑like role, drive the development of these solutions from proof‑of‑concept to production. Drive Breakthroughs: Research and develop cutting‑edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state‑of‑the‑art techniques to maintain a competitive edge. Basic Qualifications Doctorate and 2+ years of relevant experience OR Master's and 6+ years of relevant experience OR Bachelor's and 8+ years of relevant experience Preferred Qualifications Education: PhD with 2+ years of experience in data science within biotech or technology or Master's with 8+ years. A degree in Software Engineering, Biomedical Engineering, Chemical Engineering, Computational Sciences, Biostatistics, or a similar field is required. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands‑on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud‑Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production‑ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Project Skills: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. • Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! #J-18808-Ljbffr

A healthcare insurance company is looking for a Senior Responsible AI Data Scientist to champion the ethical development of AI solutions. Key responsibilities include supporting ethical standards in AI initiatives, collaborating with various teams, and driving R&D for innovative solutions. Candidates should have a background in quantitative fields and be proficient in Python and AI application development. This position is fully remote and offers competitive benefits. #J-18808-Ljbffr

Ann & Robert H. Lurie Children's Hospital of Chicago provides superior pediatric care in a setting that offers the latest benefits and innovations in medical technology, research and family-friendly design. As the largest pediatric provider in the region with a 140-year legacy of excellence, kids and their families are at the center of all we do. Ann & Robert H. Lurie Children's Hospital of Chicago is ranked in all 10 specialties by the U.S. News & World Report. Location Simpson Querrey Biomedical Research Center Collaborates with researchers to develop and deliver statistical analyses, datasets, statistical process control charts and other data products for research studies and grant proposals. Serves as an expert on biostatistics and epidemiology for the Stanley Manne Children's Research Institute; develops and submits statistical/methods sections for grant applications; and writes statistical/methods and findings sections of scientific papers. Guides Manne Research Institute and Data Analytics and Reporting (DAR) master's trained statisticians in complex analytic projects. Takes ownership of project plans, including estimation of task durations, documentation and communication of risks, dependencies and constraints, and tracking of issues impacting project completion. Independent statistical research and faculty appointment will be considered based on background, experience, and interest. "Please note that a completed Doctorate degree is a minimum requirement to be considered for this role." Essential Job Functions: Provides statistical support to interdisciplinary research programs across the research institute. Advises and guides researchers and DAR analysts in statistical methodologies. Conducts in-services and other training to advance the skill sets of researchers and DAR analysts. Write statistical/methodology sections of grant proposals or reviews these for accuracy. Write statistical/methods/findings sections of scientific papers. Writes analytic and statistical programs, routines and stored processes to transform extracts into tables and figures, or other data summaries, visualizations and dashboards using SAS or equivalent statistical software and Microsoft tools (SSRS, Power Pivot, Power Query, Power BI). Records and refines data requirements related to projects on the measurement and monitoring of research projects and workflow processes. Writes programs and scripts that convert customer requirements into data extracts, making use of Epic Clarity, Epic Cogito data warehouse, Crystal Reports, SQL, and/or SAS statistical software. Facilitates the validation of database/data warehouse extracts to ensure that results correspond to what is recorded in the transactional application (i.e., Epic Hyperspace). Adheres to HIPAA regulations for privacy, transactions, security and confidentiality; follows procedures to ensure data release restrictions related to service area and/or IRB approved elements are maintained. Performs other job duties as assigned. Knowledge, Skills and Abilities: Doctoral degree in biostatistics, epidemiology or healthcare-related statistics is required. Minimum five (5) years of experience in biostatistics, epidemiology, health services research, econometrics, OR psychometrics within healthcare. Demonstrated expertise in mentoring master's trained statisticians, junior medical faculty, residents, or fellows, and with teaching complex methodologies in a classroom-like setting. Demonstrated experience in grant writing and writing for the academic literature. A minimum of five (5) years of experience programming SAS statistical software (or equivalent), including at least one (1) year of experience writing SQL queries and implementing basic techniques to improve efficiency. Prior experience extracting or analyzing Epic electronic medical record data preferred. Ability to work independently while being an essential part of a team. Education Reference job description (Required) Pay Range $93,600.00-$154,440.00 Salary At Lurie Children's, we are committed to competitive and fair compensation aligned with market rates and internal equity, reflecting individual contributions, experience, and expertise. The pay range for this job indicates minimum and maximum targets for the position. Ranges are regularly reviewed to stay aligned with market conditions. In addition to base salary, Lurie Children's offer a comprehensive rewards package that may include differentials for some hourly employees, leadership incentives for select roles, health and retirement benefits, and wellbeing programs. For more details on other compensation, consult your recruiter or click the following link to learn more about our benefits. Benefit Statement For full time and part time employees who work 20 or more hours per week we offer a generous benefits package that includes: Medical, dental and vision insurance Employer paid group term life and disability Employer contribution toward Health Savings Account Flexible Spending Accounts Paid Time Off (PTO), Paid Holidays and Paid Parental Leave 403(b) with a 5% employer match Various voluntary benefits: Supplemental Life, AD&D and Disability Critical Illness, Accident and Hospital Indemnity coverage Tuition assistance Student loan servicing and support Adoption benefits Backup Childcare and Eldercare Employee Assistance Program, and other specialized behavioral health services and resources for employees and family members Discount on services at Lurie Children's facilities Discount purchasing program There's a Place for You with Us At Lurie Children's we embrace and celebrate diversity and equity in a serious way. We are committed to building a team with a variety of backgrounds, skills, and viewpoints - recognizing that diverse identities strengthen our workplace and the care we can provide to the Chicago community and beyond. We treat everyone fairly, appreciate differences, and make meaningful connections that foster belonging and allyship. This is a place where you can be your best, so we can give our best to the patients and families who trust us with their care. Lurie Children's and its affiliates are equal employment opportunity employers. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin, ancestry, age, disability, marital status, pregnancy, protected veteran status, order of protection status, protected genetic information, or any other characteristic protected by law. Support email: ***********************************

Ann & Robert H. Lurie Children's Hospital of Chicago provides superior pediatric care in a setting that offers the latest benefits and innovations in medical technology, research and family-friendly design. As the largest pediatric provider in the region with a 140-year legacy of excellence, kids and their families are at the center of all we do. Ann & Robert H. Lurie Children's Hospital of Chicago is ranked in all 10 specialties by the U.S. News & World Report. Location Simpson Querrey Biomedical Research Center Collaborates with researchers to develop and deliver statistical analyses, datasets, statistical process control charts and other data products for research studies and grant proposals. Serves as an expert on biostatistics and epidemiology for the Stanley Manne Children's Research Institute; develops and submits statistical/methods sections for grant applications; and writes statistical/methods and findings sections of scientific papers. Guides Manne Research Institute and Data Analytics and Reporting (DAR) master's trained statisticians in complex analytic projects. Takes ownership of project plans, including estimation of task durations, documentation and communication of risks, dependencies and constraints, and tracking of issues impacting project completion. Independent statistical research and faculty appointment will be considered based on background, experience, and interest. "Please note that a completed Doctorate degree is a minimum requirement to be considered for this role." Essential Job Functions: Provides statistical support to interdisciplinary research programs across the research institute. Advises and guides researchers and DAR analysts in statistical methodologies. Conducts in-services and other training to advance the skill sets of researchers and DAR analysts. Write statistical/methodology sections of grant proposals or reviews these for accuracy. Write statistical/methods/findings sections of scientific papers. Writes analytic and statistical programs, routines and stored processes to transform extracts into tables and figures, or other data summaries, visualizations and dashboards using SAS or equivalent statistical software and Microsoft tools (SSRS, Power Pivot, Power Query, Power BI). Records and refines data requirements related to projects on the measurement and monitoring of research projects and workflow processes. Writes programs and scripts that convert customer requirements into data extracts, making use of Epic Clarity, Epic Cogito data warehouse, Crystal Reports, SQL, and/or SAS statistical software. Facilitates the validation of database/data warehouse extracts to ensure that results correspond to what is recorded in the transactional application (i.e., Epic Hyperspace). Adheres to HIPAA regulations for privacy, transactions, security and confidentiality; follows procedures to ensure data release restrictions related to service area and/or IRB approved elements are maintained. Performs other job duties as assigned. Knowledge, Skills and Abilities: Doctoral degree in biostatistics, epidemiology or healthcare-related statistics is required. Minimum five (5) years of experience in biostatistics, epidemiology, health services research, econometrics, OR psychometrics within healthcare. Demonstrated expertise in mentoring master's trained statisticians, junior medical faculty, residents, or fellows, and with teaching complex methodologies in a classroom-like setting. Demonstrated experience in grant writing and writing for the academic literature. A minimum of five (5) years of experience programming SAS statistical software (or equivalent), including at least one (1) year of experience writing SQL queries and implementing basic techniques to improve efficiency. Prior experience extracting or analyzing Epic electronic medical record data preferred. Ability to work independently while being an essential part of a team. Education Reference job description (Required) Pay Range $93,600.00-$154,440.00 Salary At Lurie Children's, we are committed to competitive and fair compensation aligned with market rates and internal equity, reflecting individual contributions, experience, and expertise. The pay range for this job indicates minimum and maximum targets for the position. Ranges are regularly reviewed to stay aligned with market conditions. In addition to base salary, Lurie Children's offer a comprehensive rewards package that may include differentials for some hourly employees, leadership incentives for select roles, health and retirement benefits, and wellbeing programs. For more details on other compensation, consult your recruiter or click the following link to learn more about our benefits. Benefit Statement For full time and part time employees who work 20 or more hours per week we offer a generous benefits package that includes: Medical, dental and vision insurance Employer paid group term life and disability Employer contribution toward Health Savings Account Flexible Spending Accounts Paid Time Off (PTO), Paid Holidays and Paid Parental Leave 403(b) with a 5% employer match Various voluntary benefits: Supplemental Life, AD&D and Disability Critical Illness, Accident and Hospital Indemnity coverage Tuition assistance Student loan servicing and support Adoption benefits Backup Childcare and Eldercare Employee Assistance Program, and other specialized behavioral health services and resources for employees and family members Discount on services at Lurie Children's facilities Discount purchasing program There's a Place for You with Us At Lurie Children's we embrace and celebrate diversity and equity in a serious way. We are committed to building a team with a variety of backgrounds, skills, and viewpoints - recognizing that diverse identities strengthen our workplace and the care we can provide to the Chicago community and beyond. We treat everyone fairly, appreciate differences, and make meaningful connections that foster belonging and allyship. This is a place where you can be your best, so we can give our best to the patients and families who trust us with their care. Lurie Children's and its affiliates are equal employment opportunity employers. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin, ancestry, age, disability, marital status, pregnancy, protected veteran status, order of protection status, protected genetic information, or any other characteristic protected by law. Support email: ***********************************

Candidates from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only. PLEASE NOTE: Salary ranges are geographically based and the posted range reflects the Northen CA region. Lower salary ranges will apply for other labor markets outside of NCAL Overview: The Prospective Risk Adjustment Operations team is seeking a Data Scientist to support scoping, deploying, and reporting out on projects to support prospective risk adjustment projects. This pivotal role will support the development of foundational reporting and analytical frameworks crucial for identifying and prioritizing prospective risk initiatives, developing and supporting comprehensive reporting and insightful visualization of opportunities and outcomes, and directly supporting strategic decision-making and operational excellence. Ideal candidates will possess robust analytical skills and a proven ability to translate complex data into actionable business intelligence within a dynamic healthcare environment. This position offers a significant opportunity to contribute to the organization's continued success in risk adjustment. This role requires a background in technical coding (i.e SQL, Python, R etc.) or other statistical modeling programs. Familiarity with data science disciplines (i.e machine learning, predictive analytics, data visualization etc.), data modeling is preferred. Job Summary: This senior individual contributor is primarily responsible for leading the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats. This role is also responsible for leading the development of detailed problem statements outlining hypotheses and their effect on target clients/customers, serving as an expert in the analysis and investigation of complex data sets, leading the selection, manipulation and transformation of data into features used in machine learning algorithms, training statistical models, leading the deployment and maintenance of reliable and efficient models through production, verifying and ensuring model performance, and partnering with internal and external stakeholders across domains to develop and deliver statistical driven outcomes. Essential Responsibilities: * Promotes learning in others by communicating information and providing advice to drive projects forward; builds relationships with cross-functional stakeholders. Listens, responds to, seeks, and addresses performance feedback; provides actionable feedback to others, including upward feedback to leadership and mentors junior team members. Practices self-leadership; creates and executes plans to capitalize on strengths and improve opportunity areas; influences team members within assigned team or unit. Adapts to competing demands and new responsibilities; adapts to and learns from change, challenges, and feedback. Models team collaboration within and across teams. * Conducts or oversees business-specific projects by applying deep expertise in subject area; promotes adherence to all procedures and policies. Partners internally and externally to make effective business decisions; determines and carries out processes and methodologies; solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Develops work plans to meet business priorities and deadlines; coordinates and delegates resources to accomplish organizational goals. Recognizes and capitalizes on improvement opportunities; evaluates recommendations made; influences the completion of project tasks by others. * Leads the development of detailed problem statements outlining hypotheses and their effect on target clients/customers by ensuring comprehensive and accurate definitions of scope, objectives, outcome statements and metrics. * Leads the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by overseeing the transformation, cleansing, and storing of data for consumption by downstream processes; writing and optimizing diverse and complex SQL queries; and demonstrating expertise of database fundamentals. * Serves as an expert in the analysis and investigation of complex data sets by ensuring optimum data visualization methods are employed; determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions; and reviewing and verifying summaries of key dataset characteristics. * Leads the selection, manipulation, and transformation of data into features used in machine learning algorithms by leveraging and demonstrating expertise in techniques to conduct dimensionality reduction, feature importance, and feature selection. * Trains statistical models by selecting and leveraging algorithms and data mining techniques; leading model testing by ensuring the proper use of various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation. * Leads the deployment and maintenance of reliable and efficient models through production. * Verifies and ensures model performance by demonstrating advanced expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance. * Partners with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by generating and delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical leadership.