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ID #53112221
Estado Wyoming
Ciudad Cheyenne
Fuente Humana
Showed 2024-12-18
Fecha 2024-12-19
Fecha tope 2025-02-17
Categoría Etcétera
Crear un currículum vítae

Clinical Research Scientist

Wyoming, Cheyenne
Aplica ya

Become a part of our caring community and help us put health firstHumana’s Clinical Strategy and Analytics (CS&A) Team is seeking a Research Scientist 2 (Remote).Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs. In this multi-disciplinary team, you will have the opportunity to work closely with strategy partners and clinicians to shape Humana’s enterprise clinical strategies and initiatives.The Research Scientist 2 applies mathematical, statistical, and epidemiologic principles to identify trends, assess variable associations or cause-effect relationships, and size potential opportunities using high volumes of complex data. The Research Scientist 2 work assignments are varied and frequently require interpretation of data/information and independent judgement.ResponsibilitiesAs a Research Scientist, you will:

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

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

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

Translates analytic results into key takeaways and communicate to business partners

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

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

Use your skills to make an impactRequired Qualifications

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

Demonstrated strong analytical thinking and problem-solving skills

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

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

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

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

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

Preferred Qualifications

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

Healthcare or insurance working experience

Experience working with medical, pharmacy, lab claims

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

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

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

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

Scheduled Weekly Hours40Pay RangeThe 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.$71,100 - $97,800 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of BenefitsHumana, 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: 01-03-2025About usHumana 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 EmployerIt 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 veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=HumanaWebsite.

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