**Description**Humana's Clinical Strategy and Analytics (CS&A) Team is seeking a Senior Research Scientist (Remote).Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies opportunities and build strategies as well as solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana's enterprise clinical strategies and initiatives.The Senior Research Scientist applies mathematical, statistical, and epidemiologic principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities using high volumes of complex data. The Senior Research Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.**Responsibilities****Responsibilities**As a Senior Research Scientist, you will:+ Work directly with aligned business partners in requirements definition, project scoping, study design, timeline management, results documentation, and maintain effective and professional working relationship+ Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights and communicate results to business partners and stakeholders at all levels+ Develop studies and apply appropriate modeling techniques to understand variable relationships, assess intervention and clinical program outcomes, as well as identify opportunities for ROI optimization+ Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes+ Make decisions regarding own work methods, often in ambiguous situations with minimal guidance+ Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas+ Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution**Required Qualifications**+ Master's or PhD Degree in Epidemiology, Biostatistics, Economics, Statistics, Computer Science, Informatics, and/or related quantitative fields+ Demonstrated strong analytical thinking and problem-solving skills+ Demonstrated strong interest in healthcare and desire to make a positive impact on population health+ Demonstrated good understanding of various comparative effectiveness study designs and causal inference concepts and techniques such as RCT, propensity score matching, panel data and fixed effects, difference in differences, regression discontinuity, and instrumental variables+ 3+ years of professional experience manipulating and analyzing high volumes of complex data using SAS, Python, R, or similar software+ Ability to transform broad and ambiguous clinical and business queries into articulated analytic questions, and solve them using a diverse analytics toolkit+ Ability to make decisions on moderately complex to complex issues regarding technical approach for project components+ Flexible and dynamic personality, with ability to work independently with minimal supervision and collaborate effectively with cross-functional teams+ Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways?**Preferred Qualifications**+ Healthcare insurance or managed care working experience+ Strong business acumen, including a deep understanding of healthcare payer economics+ Experience working with medical, pharmacy, lab claims+ Demonstrated familiarity with cardiometabolic disease clinical concepts, palliative/hospice care, and value-based insurance design model (VBID)+ Demonstrated good understanding of causal machine learning techniques such as double ML, doubly robust learning, and meta-learners+ Proficient in both SAS and Python programming, and experience using Databricks and Microsoft Azure**Scheduled Weekly Hours**40**Pay Range**The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay decisions will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$93,000 - $128,000 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.**Description of Benefits**Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

**Description** Humana's Clinical Strategy and Analytics (CS&A) Team is seeking a Senior Research Scientist (Remote). Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies opportunities and build strategies as well as solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana's enterprise clinical strategies and initiatives. The Senior Research Scientist applies mathematical, statistical, and epidemiologic principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities using high volumes of complex data. The Senior Research Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. **Responsibilities** **Responsibilities** As a Senior Research Scientist, you will: + Work directly with aligned business partners in requirements definition, project scoping, study design, timeline management, results documentation, and maintain effective and professional working relationship + Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights and communicate results to business partners and stakeholders at all levels + Develop studies and apply appropriate modeling techniques to understand variable relationships, assess intervention and clinical program outcomes, as well as identify opportunities for ROI optimization + Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes + Make decisions regarding own work methods, often in ambiguous situations with minimal guidance + Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas + Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution **Required Qualifications** + Master's or PhD Degree in Epidemiology, Biostatistics, Economics, Statistics, Computer Science, Informatics, and/or related quantitative fields + Demonstrated strong analytical thinking and problem-solving skills + Demonstrated strong interest in healthcare and desire to make a positive impact on population health + Demonstrated good understanding of various comparative effectiveness study designs and causal inference concepts and techniques such as RCT, propensity score matching, panel data and fixed effects, difference in differences, regression discontinuity, and instrumental variables + 3+ years of professional experience manipulating and analyzing high volumes of complex data using SAS, Python, R, or similar software + Ability to transform broad and ambiguous clinical and business queries into articulated analytic questions, and solve them using a diverse analytics toolkit + Ability to make decisions on moderately complex to complex issues regarding technical approach for project components + Flexible and dynamic personality, with ability to work independently with minimal supervision and collaborate effectively with cross-functional teams + Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways? **Preferred Qualifications** + Healthcare insurance or managed care working experience + Strong business acumen, including a deep understanding of healthcare payer economics + Experience working with medical, pharmacy, lab claims + Demonstrated familiarity with cardiometabolic disease clinical concepts, palliative/hospice care, and value-based insurance design model (VBID) + Demonstrated good understanding of causal machine learning techniques such as double ML, doubly robust learning, and meta-learners + Proficient in both SAS and Python programming, and experience using Databricks and Microsoft Azure **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay decisions will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$93,000 - $128,000 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

Healthcare insurance or managed care working experience. Master's or PhD Degree in Epidemiology, Biostatistics, Economics, Statistics, Computer Science,…

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Senior Research Scientist RemoteSeptember 22, 2023

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