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Senior Healthcare Data Science Jobs (NOW HIRING)

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$110K - $149.40K/yr

Senior Healthcare Data Engineer BerryDunn's Healthcare Analytics Practice Group is looking for a ... A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or ...

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$101.10K - $127.50K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and fun to hang out with. We invest in ...

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108.40K - $147.30K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data ... A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or ...

Senior Data Science Analyst

Brentwood, TN · On-site

$100K - $130K/yr

Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com. The Senior Data Scientist leverages machine learning ...

Senior Healthcare Data Engineer

Seattle, WA · On-site

$120.70K - $164K/yr

In this role, you will develop and maintain data pipelines that process healthcare claims and ... The position reports to a senior manager who leads technical direction for the team. The VRDC is a ...

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that ... Bachelors Degree or equivalent experiencein statistics, mathematics, computer science, or related ...

Senior Data Scientist

Boulder, CO · On-site

$130K - $180K/yr

BranchLab is a healthcare AI company focused on predicting health outcomes to improving how ... • PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or ...

Data Scientist Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a ...

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ... healthcare data * Develop predictive models and machine learning solutions under guidance of senior ...

Ensure models and data science practices align with healthcare privacy standards including HIPAA ... and other global regulatory frameworks. Data Infrastructure & Governance * Collaborate with ...

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Senior Healthcare Data Science information

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How much do senior healthcare data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for senior healthcare data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Healthcare Data Scientist, and why are they important?

To thrive as a Senior Healthcare Data Scientist, you need advanced expertise in statistics, machine learning, and healthcare analytics, typically supported by a master's or PhD in a quantitative field. Mastery of tools like Python, R, SQL, and familiarity with healthcare data standards and cloud platforms is essential. Strong problem-solving, communication, and leadership skills help drive impactful solutions and bridge the gap between technical teams and healthcare stakeholders. These abilities are critical for generating actionable insights, improving patient outcomes, and ensuring data-driven decision-making in complex healthcare environments.

What are some common challenges faced by Senior Healthcare Data Scientists when working with clinical data?

Senior Healthcare Data Scientists often navigate challenges such as integrating data from diverse sources, ensuring data quality, and maintaining patient privacy in compliance with regulations like HIPAA. Dealing with incomplete or inconsistent electronic health records can be time-consuming, requiring strong data cleaning and validation skills. Collaboration with clinicians and IT teams is essential to accurately interpret data and translate findings into actionable insights for patient care and strategic decision-making.

What is a Senior Healthcare Data Scientist?

A Senior Healthcare Data Scientist is an experienced professional who analyzes complex health-related data to improve patient outcomes, healthcare operations, and decision-making. They use advanced statistical methods, machine learning, and data modeling to interpret medical records, clinical trial results, insurance claims, and other healthcare data sources. In addition to technical expertise, they often collaborate with clinicians, administrators, and IT teams to implement data-driven solutions and support evidence-based practices. Their work helps healthcare organizations optimize care delivery, reduce costs, and advance medical research.

What is the difference between Senior Healthcare Data Science vs Healthcare Data Analyst?

AspectSenior Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsAdvanced degrees (Master's/PhD), experience in data science, programming skillsBachelor's degree, proficiency in data analysis tools, basic statistical knowledge
Work EnvironmentCross-functional teams, research projects, predictive modelingData reporting, data cleaning, basic analysis in healthcare settings
Employer & Industry UsageHospitals, healthcare tech companies, research institutionsClinics, insurance companies, healthcare providers
Common Search & Comparison IntentUnderstanding senior-level roles, qualifications, responsibilitiesEntry to mid-level analysis tasks, data reporting roles

Senior Healthcare Data Scientists focus on advanced analytics, predictive modeling, and developing algorithms, often requiring higher education and specialized skills. Healthcare Data Analysts perform routine data reporting and basic analysis. While both roles work within healthcare, they differ in complexity, responsibilities, and required expertise.

More about Senior Healthcare Data Science jobs
What cities are hiring for Senior Healthcare Data Science jobs? Cities with the most Senior Healthcare Data Science job openings:
What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
What states have the most Senior Healthcare Data Science jobs? States with the most job openings for Senior Healthcare Data Science jobs include:
Infographic showing various Senior Healthcare Data Science job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Senior Healthcare Data Engineer

Senior Healthcare Data Engineer

BerryDunn

Portland, ME • On-site, Remote

$110K - $149.40K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Healthcare Data Engineer

BerryDunn's Healthcare Analytics Practice Group is looking for a Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end-to-end data management services to clients across public and private sectors. This position is an attractive opportunity if you're looking to pivot into the consulting space and have a strong interest in developing a wide range of skills and expertise in healthcare data management and analytics. You can expect a range of projects including, but not limited to:

  • Enterprise data management advisory
  • Data quality and system analysis
  • Business requirements solicitation and analysis
  • Designing and building data pipelines, warehouses, data integration, and business intelligence solutions.

You can be in-office in either Portland, ME or Manchester, NH or potentially remote

You Will

  • Contribute to all aspects of the Systems Development Lifecycle: Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions.
  • Participate in Goal Setting: Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities.
  • Translate Requirements: Convert business and technical requirements into detailed data analysis and system design specifications.
  • Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients.
  • Collaborate with Interested Parties: Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality.
  • Ensure Data Quality: Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy.
  • Develop Reports and Analytics: Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs.
  • Optimize Processes: Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices.
  • Leverage AI: Use Artificial Intelligence tools to enhance productivity and improve project deliverables.
  • Support Cross-Functional Teams: Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture.
  • Mentor and Lead: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
  • Stay Current with Industry Trends: Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and data science to ensure BerryDunn remains at the forefront of the industry.
  • Ensure Compliance and Security: Ensure all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare.

You Have

  • Extensive Data Engineering Experience: A minimum of five years of experience in data engineering, database development, or data warehouse ETL development.
  • Business and System Analysis: A minimum of five years of experience in gathering, analyzing, and defining business and system requirements.
  • Programming Proficiency: Intermediate to advanced SQL and Python skills, with a proven ability to write complex queries and optimize database performance. Experience with SAS and other technologies is a plus.
  • Cloud Technologies: Experience with Amazon Web Services (AWS), Azure, and Snowflake.
  • Data Visualization: Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports.
  • API Integration: Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems.
  • Agile Methodologies: Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes.
  • Security Best Practices: Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA).
  • Data Quality Expertise: Strong ability to analyze data with a focus on identifying and resolving data quality issues, ensuring data integrity and accuracy.
  • Analytical and Problem-Solving Skills: Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment.
  • Team Orientation: A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities.
  • Collaboration Skills: Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Project Management Abilities: Experience in managing projects or leading teams, with strong organizational skills and attention to detail.
  • Healthcare Knowledge: Prior experience or familiarity with healthcare data standards, regulations, and practices is a plus.
  • Educational Background: A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework. Advanced degrees or relevant certifications are a plus.

Preferred Qualifications:

  • Healthcare claims data experience.
  • Experience working for or directly with a Medicaid agency.
  • Basic understanding of machine learning concepts and experience with implementing machine learning models.
  • Ability to support work in multiple time zones, as needed.

We welcome professionals at various experience levels to apply. Level of hire will be commensurate with experience level.

Compensation Details

The base salary range targeted for this role is $85,000 to $125,000. This salary range represents BerryDunn's good faith and reasonable estimate of the range of possible compensation at the time of posting. If an applicant possesses experience, education, or other qualifications in excess of the minimum requirements for this posting, that applicant is encouraged to apply and a final salary range may then be based on those additional qualifications; compensation decisions are dependent on the facts and circumstances of each case. The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to, years of experience, depth of experience, seniority, merit, education, training, amount of travel, and other relevant business considerations.

BerryDunn Benefits & Culture

Our people are what make BerryDunn special, and in return we strive to support our employees and help them thrive. Eligible employees have access to benefits that go beyond what's expected to support their physical, mental, career, social, and financial well-being. Visit our website for a complete list of benefits and a look into our culture: Experience BerryDunn.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process or perform essential job functions. Please contact careers@berrydunn.com to request an accommodation.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

About BerryDunn

BerryDunn is the brand name under which Berry, Dunn, McNeil & Parker, LLC and BDMP Assurance, LLP, independently owned entities, provide services. Since 1974, BerryDunn has helped businesses, nonprofits, and government agencies throughout the US and its territories solve their greatest challenges. The firm's tax, advisory, and consulting services are provided by Berry, Dunn, McNeil & Parker, LLC, and its attest services are provided by BDMP Assurance, LLP, a licensed CPA firm.

BerryDunn is a client-centered, people-first professional services firm with a mission to empower the meaningful growth of our people, clients, and communities. Led by CEO Sarah Belliveau, the firm has been recognized for its efforts in creating a diverse and inclusive workplace culture, and for its focus on learning, development, and well-being. Learn more at berrydunn.com.