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Healthcare Machine Learning Data Analyst Jobs (NOW HIRING)

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

... healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve ... Analyze large and complex datasets to identify trends, test hypotheses, and generate actionable ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible ...

Waste Connections

Data Scientist

The Woodlands, TX · On-site

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and build scalable data pipelines and data products * Perform data analysis, feature engineering ...

Summit Managed Solutions

Summit Managed Solutions LLC Healthcare Data Analyst Remote · Full time Company website About Summit Managed Solutions LLC Summit Managed Solutions partners with healthcare organizations to help ...

Orchard LLC

Machine Learning Engineer

Working at the intersection of computer science, marine science, and data analytics, this position ... health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays. If you are ...

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Healthcare Machine Learning Data Analyst information

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How much do healthcare machine learning data analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for healthcare machine learning data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What does a Healthcare Machine Learning Data Analyst do?

A Healthcare Machine Learning Data Analyst is responsible for analyzing large volumes of healthcare data and applying machine learning techniques to uncover patterns, predict outcomes, and support decision-making. They collaborate with doctors, researchers, and IT professionals to build and refine models that can improve patient care, optimize hospital operations, or support medical research. Their work often involves preparing datasets, selecting appropriate algorithms, interpreting results, and communicating findings to stakeholders.

What are the key skills and qualifications needed to thrive as a Healthcare Machine Learning Data Analyst?

To thrive as a Healthcare Machine Learning Data Analyst, you need a strong foundation in statistics, data analysis, and machine learning, typically supported by a degree in computer science, data science, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with healthcare data systems and regulations (like HIPAA) are essential. Strong analytical thinking, attention to detail, and effective communication skills help you translate complex data findings into actionable healthcare insights. These skills are crucial for ensuring accurate data-driven decisions that improve patient outcomes and support organizational goals.

What are some common challenges faced by Healthcare Machine Learning Data Analysts when working with medical data?

Healthcare Machine Learning Data Analysts often encounter challenges such as dealing with incomplete or inconsistent medical records, ensuring patient data privacy, and understanding complex healthcare terminologies. The sensitive nature of health data requires strict adherence to regulations like HIPAA, which can limit data access and sharing. Additionally, analysts must collaborate closely with clinicians and IT professionals to correctly interpret data and ensure that analytical models are both accurate and clinically meaningful.

What are popular job titles related to Healthcare Machine Learning Data Analyst jobs?

For Healthcare Machine Learning Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Machine Learning Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,642 per year, or $37.3 per hour.

Lead Machine Learning / Data Science Engineer

Atlanta, GA • On-site

CapTech Consulting
IT Services • 501 - 1,000 employees
Learn more about CapTech Consultingexternal

$53.50 - $71/hr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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