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Statistical Learning Jobs (NOW HIRING)

American Heart Association

Statistical Analyst

Dallas, TX · On-site

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ... Apply and develop traditional and advanced analytical methods, including machine learning, deep ...

The Pennsylvania State University

The successful candidate will have a strong foundation in machine learning, artificial intelligence, statistical learning, scientific computing, data science, or related computational approaches.

American Heart Association

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ... Apply and develop traditional and advanced analytical methods, including machine learning, deep ...

American Heart Association

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ... Apply and develop traditional and advanced analytical methods, including machine learning, deep ...

KG Tiger

Statistical Programmer

Plymouth Meeting, PA · On-site

... learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor ...

NEC Labs

ML - Researcher

Princeton, NJ

The Machine Learning Department has been at the forefront of research in such areas as deep learning, statistical learning, and machine reasoning for almost two decades. The research in our ...

Reddit

Senior Machine Learning Engineer

$107K - $146K/yr

ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) * Hands-on experience with ...

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Statistical Learning information

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How much do statistical learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for statistical learning in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Learning Specialist, and why are they important?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

What is statistical learning?

Statistical learning is a field within statistics and machine learning that focuses on understanding and modeling relationships between variables using data. It involves methods for predicting outcomes, classifying data points, and uncovering patterns by analyzing large datasets. Techniques in statistical learning include regression, classification, clustering, and dimensionality reduction, among others. These methods are widely used in fields like finance, healthcare, and technology to make data-driven decisions.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

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What states have the most Statistical Learning jobs? States with the most job openings for Statistical Learning jobs include:
What job categories do people searching Statistical Learning jobs look for? The top searched job categories for Statistical Learning jobs are:
Statistical Learning jobs near you
Statistical Analyst

Statistical Analyst

American Heart Association

Dallas, TX • On-site

$75K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

American Heart Association rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

29th of 687 rated non-profit organizations

Job description

Overview
Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today's biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.
The American Heart Association has an excellent opportunity for a Statistical Analyst based out of our National Center. This position can be home-based.
This is a full time, benefits eligible, grant funded opportunity. Current funding will expire on 6/30/2030, with the possibility of extension.
The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as additional training and support, locally.
#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X, and at heart.jobs.
Responsibilities
We are seeking a data science analyst/ biostatistician to use data science tools and methodologies to identify and analyze real-world healthcare data for scientific research in precision medicine. 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).
  • Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and other AI-driven techniques.
  • Utilize AI-assisted tools to facilitate code review and maintain rigorous standards for reproducibility and transparency
  • 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.

Qualifications
  • Master's or PhD degree in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or a related field
  • Minimum of 3 years of experience with R or Python for statistical computing and data analysis.
  • Experience in preprocessing and modeling clinical data, especially patient-level data from EHRs or registries.
  • 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
  • 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
  • Ability to travel up to 10%, including occasional overnight stays.

Preferred Experience:
  • Python programming language
  • Cardiovascular Data Analysis
  • Experience working in a healthcare or research environment

Compensation & Benefits
The 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. The American Heart Association invests in its people. 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. That's why we regularly review the market value of jobs and make adjustments, as needed.
  • Performance and Recognition - You are rewarded for achieving success through annual salary planning and incentive programs; eligibility for an incentive program is 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. Heart U is the Association's national online university, with more than 100,000 resources designed to meet your needs and busy schedule.
  • 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.

The American Heart Association's 2028 Goal: Building on over 100 years of trusted leadership in cardiovascular and brain health, by 2028 the Association will drive breakthroughs and implement proven solutions in science, policy, and care for healthier people and communities. The greatest discoveries in health must reach everyone where they are.
At American Heart Association | American Stroke Association, our mission is to be a relentless force for a world of longer, healthier lives, regardless of race, ethnicity, gender, gender identity, religion, age, language, sexual orientation, national origin and physical or cognitive abilities.
This position not a match with your skills? Click here to see other opportunities.
In accordance with local and state laws where applicable, qualified applicants with arrest or conviction records will be considered for employment.
EOE/Protected Veterans/Persons with Disabilities
#AHAIND3, #LI-Remote
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About American Heart Association

Sourced by ZipRecruiter

\#TheAHALife is our company culture, our way of life, reflecting our diversity and inclusion, our focus on work-life harmonization and our Guiding Values. Discover why you will Be Seen. Be Heard. Be Valued™ at the American Heart Association by following us on LinkedIn, Instagram, Facebook, Twitter, and at heart.org.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1924

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