Senior Data Scientist

Full time

Employment Information

Job levelMedium level

IndustryHospitals and Health Care

Experience4+ years

LocationRemote, United States

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Job Description

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.”

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 – Research to work within a team of other advanced professional analysts, data scientists, and clinical leaders 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 Research efforts, providing essential context for evaluating the effectiveness of interventions and innovations. Through meticulous statistical evaluations, you will identify patterns and trends, offering critical benchmarks for measuring the impact of our initiatives.

Job Description Responsibilities:

Data Collection and Curation: Collaborate with research teams to acquire and curate diverse datasets, including clinical data, genomics, imaging, and other relevant sources, ensuring data quality and integrity.
Data Analysis and Interpretation: Utilize advanced statistical techniques and data mining methods to analyze complex medical datasets. Extract meaningful patterns and insights, identify associations, and draw actionable conclusions that contribute to medical research outcomes.
Predictive Modeling: Develop predictive models to forecast patient outcomes, disease progression, and treatment responses. Employ machine learning algorithms to support evidence-based decision-making in clinical and research settings.
Research Design and Methodology: Contribute to the design and development of research studies, incorporating appropriate statistical methodologies to ensure rigor and validity.
Collaborative Research: Work closely with interdisciplinary teams of researchers, clinicians, and scientists to support their research objectives and provide data-driven insights for publications and presentations.
Data Visualization and Communication: Effectively communicate complex data analyses and research findings to both technical and non-technical stakeholders using data visualizations, presentations, and reports.

Ethical Considerations: Ensure compliance with data privacy regulations and maintain ethical standards in handling sensitive medical information

Qualifications:

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
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.
Other:
- 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.

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.