The proliferation of AI in healthcare has spurred a surge in entry-level job opportunities. As Artificial Intelligence continues to permeate every industry, including medical care, a multitude of AI and Machine Learning roles have emerged for both aspiring professionals and seasoned experts.
The increased demand for entry-level Data Scientists and ML engineers can be gauged from the number of jobs posted across different US job portals. Several top facilities are looking for talents who can bring change to their traditional healthcare systems.
Contrary to popular belief, AI is creating high-paying jobs in every major sector. Tech giants often prioritize the healthcare sector because it is positioned as the best market to determine the impact of any new technology.
AI in digital health has started to democratize already with so many notable AI implementations. And, to bring such world-changing projects to reality, a multidisciplinary team of tech professionals come together and combine their expertise.
Read More: How to Become Artificial Intelligence Engineer
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So, if you are a tech professional working in healthcare and want to work on world-changing projects then you must jump on this bandwagon.
Demand for AI skills has reached an all-time high and will continue growing. Engineers, research analysts, and others already working in healthcare can boost their current career path by leveling up in their career level.
Take an early mover advantage by enrolling in our extensive courses to help you transition to AI and ML smoothly. You can take up our comprehensive AI and ML course that will guide you throughout or join our Applied Gen AI course.
How can AI be Used in the Healthcare Industry?
AI is making strides when it comes to the healthcare industry. It is being used in various ways to improve the way our current healthcare system works. From tasks like handling operations and resource management to advanced functions like predictive analysis, AI is now helping every department.
For instance, AI algorithms analyzing medical imaging data, such X-rays, MRIs, and CT scans. AI has also accelerated drug discovery process by analyzing vast datasets.
Furthermore, AI is helping in making clinical decision support systems; virtual health assistants and chatbots are filling the manual workforce by answering patient inquiries and scheduling appointments.
So many tech professionals work in healthcare, including bioinformaticians, data scientists, software engineers, biomedical engineers, clinical informaticians, and so many more job roles.
They collaborate to bring innovative technologies to healthcare. All these job roles can leverage AI and level up their skills.
Entry-level Healthcare jobs created by AI in the USA
Tech giants in collaboration with health governing organizations have been building technology solutions for consumers, caregivers, communities, and researchers.
As per a report by HIMSS, 29% of healthcare organizations have already implemented AI and ML and 33% are planning to implement within the next two years.
And, with the advent of AI, the healthcare sector now also includes specialists who work at the intersection of AI and medical care.
Our curated list of top beginner-level Healthcare AI job descriptions will help you know what kind of AI jobs are available in healthcare. And, how you can upskill if you’re a healthcare professional.
Most of these jobs require experience with fundamentals that include programming languages (e.g., python, R), deep learning, data analysis, natural language processing, computer vision, cloud computing, big data technologies, DevOps and AIOps, and communicative problem-solving.
So, assess your skills first, apply for the right course in case you don’t have the required skills, and start a healthcare career that is driven by AI.
Top 5 Entry-level Healthcare AI Jobs
Health Data Analyst:
A health Data Analyst plays a pivotal role in collecting the data, analyzing it, and interpreting large volumes of health-related data. The role of a health data analyst is pretty much the same as data analysts working in other industries or domains.
Responsibilities:
- Ensuring Data Accuracy.
- Generating reports to communicate findings.
- Informed healthcare decisions by collaborating with healthcare professionals.
- Maintain data privacy and security standards by HIPAA regulations.
- Assist in the design and implementation of data-driven solutions.
Skills involved in becoming a health data analyst are proficiency in programming languages such as Python or R for data analysis SQL, Tableau, and Power BI. Strong knowledge of EHR and healthcare data standards.
Salary:
The average salary for an entry-level Healthcare Data Analyst in the United States ranges from about $57,288 to $70,082 per year.
Healthcare AI Strategist:
The wellbeing sector in the US is on the lookout for Healthcare AI Strategist who can guide them in leveraging AI technologies. You will play a pivotal role in imparting AI technologies to existing operations to improve several verticals within the organizations.
Responsibilities:Â
- Technology evaluation
- Algorithms development
- Improving patient outcomes
- Optimizing Cost Management
Salary:
The average salary of an entry-level Healthcare Strategy Consultant in the United States is approximately $112,753. It can start from somewhere around $98,500. This is a remote position job in healthcare, which means it doesn’t require you to be present in the office.
You can start by learning AI fundamentals, including machine learning, deep learning, natural language processing, and computer vision.
You can learn all these AI concepts from Interview Kickstart. We have different AI courses to get you started and land you the right job in your sector.
AI Healthcare Manager
AI Healthcare Manager of ML Manager in healthcare will be collaborating closely with clinicians, clinical staff, research staff, and other cross-functional teams to collaborate.
Responsibilities:
- Identify, implement, and build project plans through proven project management tools.
- Identify and implement ways to improve and streamline internal processes.
- Leading projects focused on AI, includes the deployment of AI systems.
- Collaboration with medical professionals to ensure AI tools are appropriately integrated.
- Overseeing the management of large datasets.
Salary: As per Indeed, AI Healthcare Managers earn between $73,491 – $93,481 a year.
If you already have experience working as a Project Manager, you can opt for the right AI course from Interview Kickstart to upgrade your skills.
The individual applying for AI Healthcare Manager leverages project management software, data analytics and data visualization tools, and collaboration and communication tools.
Healthcare AI Ethics Specialists:
Any new technology, for instance, Artificial Intelligence in this case brings huge challenges to any organization before it is fully adopted.
Apart from technical skills, the healthcare sector requires professionals who can ensure that healthcare operations comply with all relevant laws and regulations.
These professionals are required to have a Bachelor’s or Master’s degree in healthcare administration.
So, if you are already working in this area, you can leverage the power of AI to keep yourself ahead.
Responsibilities:
- Develop and implement ethical guidelines for the responsible use of AI in healthcare.
- Conduct risk assessments and audits to identify any potential implications of AI technologies.
- Stay informed about emerging ethical and regulatory trends in healthcare AI
- Guide stakeholders on ethical AI principles
Salary:Â
The average salary of a Healthcare AI Ethics Specialist is $92,546 per year, as per Salary.com.
Healthcare Solutions Consultant
An AI healthcare solutions consultant has a similar role to an AI strategist in the medical field. Their job roles overlap but there are some differences. A consultant is responsible for understanding the specific needs of healthcare organizations and designing AI solutions accordingly.
The strategist, on the other hand, is more focused on long-term planning and vision for AI adoption within the healthcare organization.
Responsibilities:
- Working closely with clients to know specific needs.
- Understanding of data mining, cleaning, and analyzing.
- Experience with statistical and general-purpose programming languages for data analysis.
- Experience in SQL, development of algorithms leveraging R, Python, DAX, or SQL/NoSQL.
- Knowledge of HL7 FHIR Interoperability Data Standards
Salary:Â
As per Payscale and salary.com, Healthcare Solutions Consultants earn $86,000 and $191,828 annually​.
Data Scientist (Entry-Principal Level)
Data Scientists work across different industries where the importance of data-driven decision-making is paramount. In healthcare, their role is to improve patient outcomes, optimize operations, and advance medical research.
Their expertise in statistics, machine learning, and data analysis help streamline vast amounts of healthcare data, including electronic health records, and medical imaging.
Responsibilities:
- Improve patient outcomes
- Optimize and streamline operations
- Clinical research.
- Predictive modeling and forecasting
- Design and conduct experiments to validate hypotheses using applied statistics.
As per a job vacancy posted on Indeed, individuals proficient in the field of biomedical/health informatics are preferred. Also, those who know about handling clinical databases have an edge over others.
They will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for diagnostic decision-making, optimizing LLM training for low-resource environments
Salary:
Their starting annual salary is $76,440.
Research Scientist: Imaging Physics
Their job role includes developing, implementing, and validating machine learning algorithms to analyze imaging data for critical diagnostics.
Responsibilities:
- Develop AI/ ML models from radiology and pathology.
- Build a computational pipeline for features selection.
- Evaluate research data and develops techniques accordingly.
- Plans and supervises the training of technicians and other laboratory personnel.
Salary:
The salary for a beginner-level research scientist is $66,500.
Physician – AIx Healthcare
As the name suggests, this job is for existing and experienced physicians. The organizations want their physicians to understand the intersection of AI and medical care. It is a multidisciplinary role that blends clinical expertise with advanced technology.
Responsibilities:
The position requires a strong foundation in medical knowledge and the individual must understand how AI is changing the landscape.
- Developing AI applications, like AI-powered billing systems.
- Healthcare data analysis as per the platform built by the tech team.
- Strategic planning.
- Education and training.
Salary:
Their beginner-level salary is higher compared to other job roles in this list of entry-level AI jobs in healthcare. As per salary.com, simplyhired.com, the starting salary is $120,000.
FAQs: Entry-level Healthcare AI Jobs
What type of AI is used in Healthcare?
Professionals use machine learning, NLP, computer vision, robotics, and Generative AI. These AI techniques are helpful in medical image analysis, predictive analytics, and personalized medicine.
Does NHS use AI?
Yes, the NHS (National Health Service) in the UK does use AI technologies in various capacities. Examples of AI used by NHS include analysing X-ray images, and mammograms to support radiologists in making assessments. NHS has a separate AI lab that was created to address the challenges by bringing together healthcare providers and technology companies.
Some of their highlighted programs include AI Imaging, AI Regulation, AI Ethics, and more.
How does a medical doctor take a career in AI and ML?
A medical doctor interested in pursuing a career in AI and ML can take several steps, for instance, gaining foundational knowledge in basics of programming languages like Python and R. They can enroll themselves in relevant courses like the ones offered here at Interview Kickstart.
They can focus on applying AI techniques on healthcare-specific problems by studying medical informatics.
How can physicians have a career in medical artificial intelligence?
Physicians can start obtaining relevant courses. Interview Kickstart offers a wide range of courses on Artificial Intelligence.
You can talk to our advisors if you’re confused about where to start from. You can then seek opportunities to work on AI projects within healthcare. You can participate in workshops, relevant webinars to make yourself updated with the current industry trends.
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