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Medical Science & Computing Jobs (NOW HIRING)

Artera

Platform Engineer, Statistical Computing (R)

$180K - $220K/yr

About Us: Artera is an AI startup that develops medical artificial intelligence tests to ... Experience building or supporting data platforms, scientific computing environments, or analytical ...

Fermilab

Quantum Computing Engineer I

Batavia, NY

$79.30K - $104.40K/yr

Writing scientific papers, technical documents, and engineering notes. * Performing other duties as ... Medical, Dental, Vision and Flexible Spending Accounts * Paid time off * Life insurance * Short and ...

Fermilab

Quantum Computing Engineer I

Batavia, IL · On-site

$79.30K - $104.40K/yr

Writing scientific papers, technical documents, and engineering notes. * Performing other duties as ... Medical, Dental, Vision and Flexible Spending Accounts * Paid time off * Life insurance * Short and ...

Na Oiwi Kane

Computing Specialist

Arlington, VA · On-site

$85K - $93K/yr

Serve as a primary point of contact for approximately 500 scientists and engineers utilizing Navy ... medical condition, legally protected genetic information, national origin, sex (including pregnancy ...

Rivet

Computing Specialist

Arlington, VA

$85K - $93K/yr

Serve as a primary point of contact for approximately 500 scientists and engineers utilizing Navy ... medical condition, legally protected genetic information, national origin, sex (including pregnancy ...

Rivet

Computing Specialist

Arlington, VA

$85K - $93K/yr

... of scientific and engineering users. Key Responsibilities: • Support Program Officers who lead ... medical condition, legally protected genetic information, national origin, sex (including pregnancy ...

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How much do medical science & computing jobs pay per year?

As of May 31, 2026, the average yearly pay for medical science & computing in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Medical Science & Computing, and why are they important?

To excel in Medical Science & Computing, a solid background in biomedical sciences, data analysis, and computer programming is typically required, often supported by a relevant degree such as bioinformatics, computer science, or biomedical engineering. Familiarity with programming languages (e.g., Python, R), data visualization tools, and specialized software like MATLAB or SAS is commonly needed. Strong problem-solving abilities, collaboration, and effective communication set top professionals apart in this interdisciplinary field. These skills are essential for integrating scientific knowledge with technical expertise to advance medical research, diagnostics, and healthcare solutions.

What are the typical challenges faced by professionals working in Medical Science & Computing, and how can new hires prepare for them?

Professionals in Medical Science & Computing often encounter challenges such as integrating complex biomedical data from various sources, staying current with rapidly evolving technologies, and collaborating with multidisciplinary teams. New hires can prepare by strengthening their programming and data analysis skills, familiarizing themselves with healthcare data standards, and developing effective communication strategies for working with clinicians, researchers, and IT specialists. Proactively seeking mentorship and engaging in continuous learning are also key to overcoming initial hurdles and excelling in this dynamic field.

What is Medical Science & Computing?

Medical Science & Computing is a multidisciplinary field that combines principles of medicine, biology, and computer science to improve healthcare outcomes. Professionals in this area work on developing and applying computational tools, software, and data analysis techniques to solve complex problems in medical research, diagnostics, and patient care. This field is essential for advancements such as medical imaging, bioinformatics, electronic health records, and healthcare data analytics. Careers in Medical Science & Computing can be found in hospitals, research institutions, government agencies, and private companies. The goal is to bridge the gap between cutting-edge technology and medical practice to enhance patient care and research.

What is the difference between Medical Science & Computing vs Medical Laboratory Technician?

AspectMedical Science & ComputingMedical Laboratory Technician
CredentialsBachelor's or higher in health informatics, biomedical sciences, or related fieldsAssociate's degree or post-secondary certificate in medical laboratory technology
Work EnvironmentHospitals, research institutions, healthcare IT companiesClinical laboratories, hospitals, diagnostic labs
Industry UsageHealthcare IT, biomedical research, data analysisMedical testing, sample analysis, diagnostic support
Common Search IntentCareers in healthcare IT and biomedical dataMedical testing and lab work roles

Medical Science & Computing professionals focus on healthcare data management, informatics, and biomedical research, often working in IT or research settings. In contrast, Medical Laboratory Technicians perform laboratory tests and analyze samples directly in clinical labs. Both roles are essential in healthcare but differ in credentials, work environment, and daily tasks.

More about Medical Science Computing jobs
What job categories do people searching Medical Science & Computing jobs look for? The top searched job categories for Medical Science & Computing jobs are:
Medical Science Computing jobs near you
High Performance Computing Scientist

High Performance Computing Scientist

Jefferson Lab

Newport News, VA • On-site

$89.80K - $159.30K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

At Jefferson Lab, you'll champion cutting-edge science and operational excellence while shaping the future of discovery. Join us and make your mark - where excellence meets purpose, and great minds truly matter.
Range: $89,800 - $159,300 (SCS-II)
This 3-year appointment (contingent on continued funding) will focus on projects aimed at applying data science methods to relevant Jefferson Lab mission projects.
What your job will be like:
The Jefferson Lab Scientific Computing Department, within the Computational Sciences and Technology (CST) division, is seeking applicants with extensive experience in the area of Computational Physics and high-performance computing (HPC). The successful candidate will closely interact with members in the Scientific Computing department and researchers from the Theory Center to support critical research programs in Lattice Quantum Chromodynamics (LQCD) calculations, and to contribute to program development in advanced computing for Nuclear Physics and Computational Science.
This position provides excellent opportunities for career development in both physics and computer/computational science in a world leading research establishment, further enhanced by the upcoming High Performance Data Facility (HPDF).
In this job you will:
  • Conduct research and development in lattice QCD (LQCD) methods, focusing on architecture-specific performance optimization for high-performance computing systems at DOE Leadership Computing Facilities.
  • This includes designing and implementing efficient, state-of-the-art numerical algorithms and integrating them seamlessly into the existing LQCD software stack.
  • Participate and support the computational campaigns of the Theory Center including software development, building and deployment both on local and remote computing resources.
  • Design and develop AI agentic HPC workflows to automate scientific discovery across geographically distributed computing locations.
  • Utilize Model Context Protocol (MCP) to create autonomous fabrics between scientific models and distributed infrastructure.
  • Evaluate emerging computing architectures to contribute future hardware acquisition and strategy.

Experience
  • Required: 3 years of relevant experience.
  • Preferred: Experience working on high performance computing projects and the research background in computational LQCD.
  • Preferred: Extensive experience with MCP (Model Context Protocol).
  • Preferred: Experience with modern development methods and tools.
  • Preferred: Experience in Agentic AI Framework such as LangGraph.

Education
  • Required: Bachelor's Degree
  • Preferred: Ph.D. in Theoretical Physics, Computational Science, or Computer Science

Experience and Education Exchange
Education above the minimum may be substituted for experience.
Knowledge, Skills, and Abilities
  • Demonstrated knowledge of computer algorithms relevant to the computational domain. Experience of efficient implementation of some of these algorithms targeting specific computing architectures
  • Proficient in C or C++ along with scientific Python computing stack.
  • Experienced with modern development methods and tools
  • Preference will be given to candidates who have extensive knowledge and experience in the following areas:
  • Developing parallel software using OpenMP and MPI.
  • Heterogeneous computing using CUDA/ROCm, or OneAPI/SYCL.
  • Highly proficient in navigating complex HPC job scheduling systems such as SLURM.
  • Experienced in Agentic AI Framework such as LangGraph
  • Excellent verbal and written communication skills are essential.
  • Knowledge in agentic AI.

About Jefferson Lab
Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campus is located in southeastern Virginia amidst a vibrant and growing technology community.
A career at Jefferson Lab is more than a job. You will be part of "big science" and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by Jefferson Science Associates, LLC, Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.
Total Rewards at Jefferson Lab
At Jefferson Lab, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
• Medical, Dental, and Vision Care Plans • Flexible Spending Accounts
• Paid Time-off and Leave Programs (Paid Parental, vacation, holidays, and sick leave)
• 401(k) Plan - 9% Lab Contribution; 100% vested • Flexible Work Arrangements
(Remote & Alternate Work Schedules available)
• Tuition Assistance, Training and Professional Development Programs
• Live near the waterways of the Chesapeake Bay region with access to nearby beaches,
mountains, and all major metropolitan centers on the East Coast
Jefferson Science Associates, LLC (JSA) manages and operates the Thomas Jefferson National Accelerator Facility (Jefferson Lab). JSA is an Equal Opportunity Employer.
JSA is committed to providing reasonable accommodation for people with disabilities (unless doing so will result in an undue hardship). If you need a reasonable accommodation for any part of the employment process, please send an e-mail to recruiting@jlab.org or contact Human Resources by calling (757) 269-7100 and selecting option 1 between 8 am - 5 pm EST to provide the nature of your request.
Employment with JSA is conditional upon DOE approval if at any time during your employment you are participating in a Foreign Government Talent Recruitment Program or Affiliated activity. Generally, such programs/activities include any foreign-state-sponsored attempt to acquire U.S.-funded scientific research through programs run or funded by the government that target scientists, engineers, students, academics, researchers, and entrepreneurs of all nationalities working or educated in the United States. This includes positions or appointments, both domestic and foreign, titled academic, professional, or institutional appointments whether or not remuneration is received and whether full-time, part-time or voluntary.

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