Senior Data Scientist - Research (Remote)

We're a Little Different

Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service.

At Mercy, we believe in careers that match the unique gifts of unique individuals - careers that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its "Top 100 Places to Work."

Overview: Senior Data Scientist - Research

Position can be Remote (work from home)

• Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.

Mercy is seeking a Senior Data Scientist to work within a team of other advanced professional data scientists, engineers, and application developers in the generation, extraction, and compilation of data to perform creative, high-quality, state-of-the-art analyses and evaluations that produce insights, support decision-making, and drive impact within a leading and transforming healthcare organization. This position will support Mercy's efforts to deliver on the vision of personalized, predictive, and proactive care. The candidate should demonstrate expertise with data extraction, management, analysis with data analytics tools, be able deliver outputs on a timeline, and lead others in the completion of related work. The candidate should be able to effectively document, develop, and communicate project plans and analytic findings with a variety of technical/non-technical stakeholders.

Qualifications:

• Excellent problem-solving skills
• Technical Expertise: Proficiency in data analysis and programming languages such as Python, R, SQL, or other relevant tools commonly used in medical research.
• Other:
• Prior experience in medical or clinical research, working with healthcare-related datasets, and contributing to scientific publications is preferred.
• Required Education: Graduate degree in Public Health, Health Care Research, Epidemiology, Statistics, Data Science, Health Policy, Economic, Finance, Simulation/Simulation-Based Optimization, or related field.
• Experience: At least 4 years of experience in a similar role in academia or industry or PhD + 2 years in a similar role in academia or industry
• Ability to quickly learn new analytic tools and packages
• Strong background in statistical methods, including regression analysis, hypothesis testing, survival analysis, and machine learning algorithms.
• Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.
  
  • Technical Expertise: Proficiency in data analysis and programming languages such as Python, R, SQL, or other relevant tools commonly used in medical research.
  • Ability to quickly learn new analytic tools and packages
  • Strong background in statistical methods, including regression analysis, hypothesis testing, survival analysis, and machine learning algorithms.
  • Prior experience in medical or clinical research, working with healthcare-related datasets, and contributing to scientific publications is preferred.
  • Excellent problem-solving skills
  • Strong organizational skills, an orientation toward detail, and collaboration oriented.Present complex data (qualitative and quantitative) in a clear, concise, and compelling manner to both technical and non-technical audiences to inspire action.
• Strong organizational skills, an orientation toward detail, and collaboration oriented.Present complex data (qualitative and quantitative) in a clear, concise, and compelling manner to both technical and non-technical audiences to inspire action.

We Offer Great Benefits:

Day-one comprehensive health, vision and dental coverage, PTO, tuition reimbursement and employer-matched retirement funds are just a few of the great benefits offered to eligible co-workers, including those working 32 hours or more per pay period!

We're bringing to life a healing ministry through compassionate care.

At Mercy, our supportive community will be behind you every step of your day, especially the tough ones. You will have opportunities to pioneer new models of care and transform the health care experience through advanced technology and innovative procedures. We're expanding to help our communities grow. Join us and be a part of it all.

What Makes You a Good Match for Mercy?

Compassion and professionalism go hand-in-hand with us. Having a positive outlook and a strong sense of advocacy is in perfect step with our mission and vision. We're also collaborative and unafraid to do a little extra to deliver excellent care - that's just part of our commitment. If that sounds like a good fit for you, we encourage you to apply.