Statistical Analyst id-8647
Qualifications
Minimum of 3 years of relevant expereince
Minimum of 3 years of experience with R or Python for statistical computing and data analysis
Proven experience in preprocessing and modeling clinical data, especially patient-level data from EHRs or registries
Demonstrated experience in both traditional statistical modeling and machine learning techniques
Minimum of 2 years of experience analyzing real-world patient data in clinical or research settings
Experience writing and executing Statistical Analysis Plans
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Hands-on experience with cloud-computing platforms (e.g., AWS, Azure, GCP) for data processing and analysis
Strong skills in managing and analyzing large-scale, complex clinical datasets
Excellent oral and written communication skills, with the ability to effectively communicate technical/statistical information to both technical and non-technical stakeholders
Highly effective organizational skills, time management, responsibility, and motivation
Benefits
Compensation & Benefits
Expected pay range will be $75,000 - $85,000
Pay is commensurate with experience; geographic differentials to the pay range may apply
The American Heart Association reserves the right to pay more or less than the posted range
Here are the main components of our total rewards package
Visit Rewards & Benefits to see more details
Compensation – Our goal is to ensure you have a competitive base salary
Performance and Recognition – You are rewarded for achieving success by merit increases and incentive programs; based on the type of position
Benefits – We offer a wide array of benefits including medical, dental, vision, disability, and life insurance, along with a robust retirement program that includes an employer match and automatic contribution
As a mark of our commitment to employee well-being, we also offer an employee assistance program, employee wellness program and telemedicine, and medical consultation
Professional Development – You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program
Work-Life Harmonization – The Association offers Paid Time Off (PTO) at a minimum of 16 days per year for new employees
The number of days will increase based on seniority level
You will also have a total of 12 paid holidays off each year, which includes several days off at the end of the year
Tuition Assistance - We support the career development of all employees
This program provides financial assistance to employees who wish to further their education and career in relation to their current duties and responsibilities, or for potential future positions in the organization
Responsibilities
You will work in a highly collaborative environment, closely collaborating with American Heart Association scientists, clinical and research volunteers, and program managers to creatively solve challenges in medical research using state-of-the-art tools and methodologies
Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease
Collaborate with senior analysts, clinicians, and research teams to refine research questions and develop statistical analysis plans (SAPs
Clean, preprocess, and harmonize clinical data for analysis
Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and other AI-driven techniques
Prepare summary reports, manuscripts, and visualizations for internal and external dissemination
Contribute to the preparation of peer-reviewed journal articles and presentations for scientific meetings
Serve as a technical/topical expert, champion, consultant, and liaison to Association stakeholders and external peers
Attend relevant external conferences, and attend/co-lead consultative sessions with volunteer Task Force and other Association volunteers/experts
Contribute landscape and topical expertise to the development and execution of comms plan/strategies, including networks to engage, written pieces, workshop planning, and publication strategies