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Ibm Life Science Jobs (NOW HIRING)

Data Architect

Tulsa, OK

$58.25 - $75/hr

... Life Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... IBM DataStage, Oracle , Teradata and Cognos mandatory The successful candidate will join the data ...

Senior Software Engineer IBM ODM

O Fallon, MO · On-site +1

$114K - $151K/yr

... Science or Engineering or equivalent work experience. • Have IBM Operational Decision Manager ... life insurance); flexible spending account and health savings account; paid leaves (including 16 ...

On-premises and Cloud database, data science, and data analytics environments * IBM Integrated ... Life Insurance · Paid Time Off & Holidays · Earned Bonuses & Awards · Professional Training ...

On-premises and Cloud database, data science, and data analytics environments * IBM Integrated ... • Life Insurance • Paid Time Off & Holidays • Earned Bonuses & Awards • Professional ...

Mainframe developer

Mclean, VA

$49.50 - $63.75/hr

... Life Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... IBM utilities. Mortgage domain knowledge is preferred. Well verse with complete SDLC and/or Agile ...

... Life Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... IBM Cognos BI, TM1, SPSS, SAS, etc.) Conduct requirement review and walk-through sessions for BI ...

... life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our ... We are seeking an experienced DP/ACE Developer with strong expertise in IBM DataPower, IBM App ...

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Ibm Life Science information

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$5

$17

How much do ibm life science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for ibm life science in the United States is $16.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $16.35 per hour, depending on experience, location, and employer.

What are some typical projects IBM Life Science professionals work on, and how do these projects contribute to advancements in healthcare?

IBM Life Science professionals often collaborate on projects involving data analytics, artificial intelligence, and cloud technologies to support pharmaceutical research, clinical trials, and patient care optimization. These projects can include developing predictive models for drug discovery, streamlining clinical data management, or enhancing personalized medicine through machine learning. By working closely with cross-functional teams that include researchers, data scientists, and healthcare professionals, IBM Life Science employees help drive innovation in the industry, directly impacting patient outcomes and healthcare efficiency.

What is the difference between Ibm Life Science vs Data Analyst in the life sciences industry?

AspectIbm Life ScienceData Analyst in the life sciences
Required CredentialsBachelor's or higher in life sciences, computer science, or related fields; knowledge of IBM Life Science toolsBachelor's degree in statistics, data science, or related fields; proficiency in data analysis software
Work EnvironmentCollaborative teams within biotech, pharma, or healthcare companies; focus on data management and software solutionsData-focused roles in research labs, healthcare organizations, or consulting firms; emphasis on data interpretation
Employer & Industry UsagePrimarily in biotech, pharmaceutical, and healthcare industries using IBM Life Science platformsAcross various industries including healthcare, research, and consulting, analyzing scientific data

In summary, Ibm Life Science professionals focus on implementing IBM's software solutions within the life sciences sector, while Data Analysts in the same industry primarily interpret scientific data using various tools. Both roles require strong analytical skills but differ in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive in IBM Life Sciences roles, and why are they important?

To thrive in IBM Life Sciences roles, you need a strong background in life sciences, data analytics, and information technology, often supported by a relevant degree such as biology, bioinformatics, or computer science. Familiarity with tools like IBM Watson Health, data visualization platforms, and regulatory compliance systems (such as GxP) is typically required. Strong problem-solving, collaboration, and communication skills help professionals bridge the gap between scientific research and technology solutions. These skills and qualities are crucial for driving innovation, ensuring data integrity, and delivering impactful solutions in the highly regulated and complex life sciences sector.

What are IBM Life Science jobs?

IBM Life Science jobs refer to positions within IBM that focus on applying technology, data analytics, artificial intelligence, and cloud solutions to challenges in the life sciences industry. These roles may involve working with pharmaceutical companies, biotechnology firms, or healthcare organizations to improve research, drug development, patient care, and regulatory compliance. Employees in these positions often have backgrounds in biology, computer science, or healthcare and collaborate with various stakeholders to innovate and optimize life science processes using IBM's technological tools.
More about Ibm Life Science jobs
What states have the most Ibm Life Science jobs? States with the most job openings for Ibm Life Science jobs include:
What job categories do people searching Ibm Life Science jobs look for? The top searched job categories for Ibm Life Science jobs are:
Infographic showing various Ibm Life Science job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $33,815 per year, or $16.3 per hour.
HPC/AI Solution Architect

$68.75 - $90.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Job Overview:

  • The Cambridge HPC/AI Solutions Architect focuses on high performance compute, artificial intelligence, and enterprise solutions is a field-based technologist who consults with customers and builds advanced IT solutions in HPC/AI and enterprise for our customers.   By partnering with the relationship sales managers, this individual will design, build, recommend, and sell the latest technologies in the market, apply Cambridge’s unique business model, and leverage long-established relationships with a diverse group of technology manufacturers.

Responsibilities and Duties:

  • Determine customer needs, recommend the best platforms to solve challenges and employ multi-vendor solutions to both existing and net new clients with a focus on IT professionals.

  • Prescribe solutions averaging +$1M annually to Education, Commercial, Federal Labs, Media & Entertainment, Cloud Service Providers, Research Computing, and Healthcare.

  • Design cutting-edge and highly optimized solutions for HPC, AI, and ML across a variety of disciplines, with particular emphasis on:  Multi-rack-scale compute clusters (hardware, management, scheduler), both x86 and ARM; data storage (parallel file systems, scale-out, software defined); secure containerized environments; high-throughput interconnects (Ethernet, Infiniband, OPIAI, CXL); GPU clusters; disaggregated composable infrastructure.

  • Specific use-cases will include life sciences (genomic sequencing, bioinformatics, drug discovery); engineering (CFD, geoseismic); natural sciences; deep learning; IoT, and commercial analytics.

  • Consult on enterprise information technology, including, without limitation, data storage (SAN, NAS, scale-out, object, archival, lifecycle management); data protection (backup and disaster recovery design); server and container virtualization (VMware, Redhat, Kubernetes); CPU and GPU compute; networking (core & edge), firewalls, VPNs and SSE; information security, and other enterprise data center technologies.

  • Leverage deep knowledge of and relationships with tech industry leaders including AMD, DDN, Dell Technologies, Cisco, Cohesity, Commvault, HPe, IBM, Intel, Juniper, Lenovo, Microsoft, NVIDIA, Oracle, Redhat, VAST Data, VMWare, WEKA, and others.

  • Drive specific demand generation activities with limited inside support. This includes prospecting, calling clients to attend technical lectures, and following up on marketing driving initiatives.

  • Gain advanced expertise and earn certifications as assigned. 

  • Represent the company in face to face and on-line meetings, technical demonstrations, and conferences, with a high degree of competence and professionalism.    

  • Validate customer deliverables including quotes, proposals, and statements of work.

  • Differentiate and add value to our solutions by leveraging our Professional Services team.

  • Build long lasting relationships with vendors, clients, & IT Distributors. 

  • Work earnestly and respectfully with the cross-functional Cambridge team. A high level of respect for your peers and an eagerness to learn are required for your success.

  • Engage regularly and frequently with Cambridge's internal tools as assigned, including but not limited to: CRM system, document management system, & company calendar. 

Qualifications:

  • Candidates must have at least 10+ years of customer facing technical experience recommending high value workload solutions, research & development, life science compute, and data-center centric IT infrastructure solutions (data storage, data protection, compute, security, and networking) to IT professionals either for a vendor or technology reseller.  

  • Experience with specific technologies including high-performance computing clusters, high-throughput network solutions (Infiniband, OmniPath, 400GbE), schedulers (UGE, SGE, SLRUM, PGS, LSF), cluster management tools (Bright Computing, Werewolf and xCAT), and parallel file systems (Lustre, IBM, Spectrum Scale, mGPFS)

  • Enterprise data storage technologies, such as SAN and NAS storage, Fibre Channel, iSCSI, CIFS, and NFS

  • Windows Server and UNIX/Linux system administration

  • Expertise developing accounts, writing technical proposals, giving presentations, and teaching employees / customers.

  • Expert level knowledge of advanced computer hardware, software, and services.  

  • Existing relationships with technology vendors and distributors in the IT ecosystem.  

  • University undergraduate degree required.  Science, technology, engineering, and mathematics (STEM) and/or advanced degree preferred.

  • As this is a field-based role, the employee must be able to work remotely, independently, and unsupervised.  Travel will be required 25% of the time. 

  • Candidates must have impeccable communication and presentation skills, an ability to multi-task, and high attention to detail.  They must be able to negotiate, proactive in approach, effective problem solvers, organized, creative, intellectually curious, deal with ambiguity, earnings motivated, and able to work with different types of personalities.

  • Authorization to work in the United States on a full-time basis required.

 
How to Apply
Applicants must provide the following required materials:
  • Resume
  • Cover letter
 
Benefits
We recognize that satisfaction and well-being are integral components for long-term sustainability and business success. As such, available to full-time employees are the following benefits:
  • Competitive salary
  • Multiple health insurance options
  • Medical FSA and Dependent Care FSA
  • Dental insurance
  • Vision insurance
  • 401(k) savings plan with employer matching
  • Employer-sponsored long-term disability
  • Paid holidays and PTO that increases with longevity at the company
  • Discounted health club membership
  • Convenient Parking
  • Opportunities for growth!
 
Estimated Salary Range
$90k - $175k per year
 
Equal Opportunity Employer
Cambridge Computer provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status in accordance with applicable federal, state and local laws.
Thank you for taking the time to consider this opportunity with us and good luck with your career search.
Employment Type: FULL_TIME