Updated October 2026
The life sciences job market continues to evolve as pharmaceutical, biotechnology, and medical research organizations invest in new therapies, AI, data, and more efficient ways to move discoveries from the lab to patients. According to the Bureau of Labor Statistics (BLS), employment in life sciences is projected to grow faster than average from 2025-2035. This is promising news for the industry, especially after a tough couple of years.
The industry saw hiring freezes and layoffs in 2024, but the market in 2025 showed signs of recovery. Pharmaceutical jobs are holding steady while biotech roles remain competitive. And as companies shift back to in-person work, remote opportunities are becoming less common.
Looking ahead to 2027, growth is on the horizon. So what skills are in high demand, and where are the biggest talent gaps? Let’s take a look at the skills and life sciences jobs our experts have identified as industry priorities for the future.
Top Skills Needed in Life Sciences
According to Katie Wasko, Insight Global’s Managing Director of Life Sciences, here are some of the biggest focus areas moving into 2027:
- AI, machine learning, and advanced analytics
- Bioinformatics and computational biology
- Clinical research and clinical data
- Regulatory affairs and compliance
- Quality assurance and quality control
- Bioprocessing and manufacturing
- Drug safety and pharmacovigilance
Integrating AI into clinical trials has led to a massive optimization push in research and development (R&D). This in turn will lead to accelerated manufacturing processes across the industry.
As production speeds up, companies must expand their supply chains globally to keep momentum, driving the need for better compliance practices on an international scale.
AI is transforming jobs that intersect with biology and computer science, too. Professionals who can both leverage AI tools and train others to use them effectively are in high demand and increasingly valued as technology rapidly evolves.
That creates a workforce challenge that extends across both scientific and technology functions. Organizations may need researchers and clinical experts alongside data, AI, engineering, quality, and regulatory professionals who can help turn innovation into repeatable processes.
READ NEXT: Smarter Science: Trends Shaping the Life Sciences Landscape in 2026
11 Life Sciences Jobs in High-Demand
The future of life sciences depends on the people driving it forward. As the industry rebounds and evolves, certain roles are becoming more critical than ever. Our experts have identified the following jobs as immensely important to the success of the industry in 2027.
Clinical Research Associate (CRA)
CRAs are usually found in the clinical research & manufacturing (R&M) and pharma subindustries. Responsibilities include:
- Overseeing, executing, and monitoring clinical trials
- Conducting trials ethically and in compliance with regulatory standards
- Site selection and inspection
- Data and trials monitoring
- Ensuring participant safety
As trials continue to evolve with the integration of new practices and technologies, CRAs will be key to not only team success but to companies maintaining global standards. Clinical talent remains an important hiring area. In BioSpace’s 2026 employment outlook, 48% of respondents expected to add clinical professionals.
Key skills: clinical trial monitoring, GCP, regulatory documentation, site management, clinical operations.
Regulatory Affairs Specialist/Manager
Like CRAs, Regulatory Affairs Specialists/Managers are incredibly important parts of life sciences companies in maintaining global regulations.
Their responsibilities can include:
- Ensuring global compliance amid evolving regulations and requirements
- Advising teams on compliance matters
- Managing regulatory processes such as submissions, audits, and inspections
Regulatory was among the top five hiring areas identified by respondents to BioSpace’s 2026 employment outlook, with 37% anticipating hiring in the function.
Key skills: regulatory strategy, submissions, documentation, compliance, FDA requirements.
Biostatistician
Biostatisticians (or data scientists) work throughout the life sciences field, and their work with quantitative analysis and machine learning is especially important within the industry today. Some of their responsibilities include:
- Designing and analyzing studies in clinical research
- Applying statistical models to interpret complex data
- Supporting clinical trials
- Communicating research findings
Regardless of sector, there is a current hiring preference for biostatisticians with expertise in AI, machine learning, and bioinformatics.
BLS projects employment for data scientists across industries to grow 35% from 2025 to 2035, with approximately 24,800 openings per year on average.
In life sciences, professionals who understand both advanced analytics and the scientific or clinical context behind the data can be particularly valuable.
Key skills: machine learning, statistical modeling, Python, R, data visualization, data governance.
Bioinformatics Scientist
Bioinformatics scientists—also known as bioinformaticians—develop the tools, applications, and algorithms needed to analyze biological data in genomics and proteomics data analysis, where current demand lies.
These scientists primarily:
- Design experiments
- Collaborate with fellow researchers
- Perform genetics work to meet research goals
As AI capabilities continue to grow in the R&D space, bioinformatics scientists who can train others in new technology and run digital twin experiments will be key within hiring within all life sciences jobs.
Key skills: bioinformatics, genomics, Python or R, biological data analysis, statistics, machine learning.
Clinical Data Analyst
- Manages data and information for research or clinical trials
- Safeguards, maintains, and interprets essential data.
Because so much of this job involves data compilation and analysis, programming skills in SAS, Python, and R are usually required.
AI integration into clinical trials will affect the future of data analysis. Analysts who can combine their statistical skills with practical AI knowledge will be needed.
Key skills: clinical data management, SAS, SQL, Python or R, data quality, clinical trial systems.
Bioprocess or Manufacturing Engineer
As life sciences organizations scale production, manufacturing expertise remains an important part of the talent mix. In BioSpace’s 2026 outlook, 38% of respondents expected to hire for manufacturing and production roles.
Bioprocess and manufacturing engineers can help design, optimize, validate, and troubleshoot the processes used to manufacture biologics, pharmaceuticals, and other life sciences products.
Key skills: bioprocessing, process engineering, validation, GMP, automation, manufacturing systems.
Quality Assurance (QA) and Quality Control (QC) Specialists
QA specialists create testing and inspection systems to make sure that certain requirements are met before a product launches.
QC specialists analyze data and monitor results following a product’s development and launch.
Across all life sciences subindustries, these roles are especially important regarding product quality maintenance and navigating regulatory compliance.
QA/QC was also identified by 37% of respondents in BioSpace’s 2026 survey as an area where they anticipated hiring.
Key skills: GMP, validation, auditing, CAPA, quality systems, documentation.
Process Development Scientist
Put the most simply, a process development scientist makes sure projects are completed in a timely fashion, works to improve manufacturing efficiency, and incorporate life science theories into product development.
Because the scaling and optimization of manufacturing is key to overall industry speed, these scientists are integral to the future of the industry.
They are currently needed in the cell, gene therapies, and biologics areas of biotech, pharmaceutical, and clinical R&M.
Key skills: process optimization, experimental design, scale-up, bioprocessing, GMP.
Medical Scientist or Translational Scientist
Medical and translational scientists help move scientific discoveries toward clinical applications by conducting research, evaluating evidence, and connecting laboratory findings with human health outcomes.
BLS projects employment for medical scientists to grow 13% from 2025 to 2035, with about 10,500 openings annually on average.
Key skills: experimental design, clinical research, translational science, data analysis, scientific communication.
Pharmacovigilance Specialist
Pharmacovigilance specialists monitor various stages of drug development and the saftety of clinical trials. These responsibilities can include:
- Development of drug safety protocols
- Preclinical and clinical regulatory compliance
- Post-market safety monitoring of pharmaceutical products
- Analysis of adverse event reports
- Communicating risks to regulatory authorities
The faster the industry continues to move, the more crucial pharmacovigilance will become.
Key skills: adverse event reporting, safety surveillance, regulatory compliance, risk management, safety databases.
Computational Biology Engineer and Computational AI Engineer
Both computational biology and AI engineers blend biology with computer science. These engineers:
- Work with biological data to develop models and algorithms to analyze biological systems
- Use machine learning to interpret genomic data, simulate biological processes, or predict drug responses
These two roles have similar functions in the life sciences industry today—both are key to integrating AI and automation into R&D and clinical trials for the purpose of increasing speed and scale. Across all subindustries in life sciences jobs, these engineers are particularly important in drug discovery.
Key skills: computational modeling, machine learning, genomics, statistics, Python or R.
READ NEXT: AI Glossary and FAQ
What’s Driving Life Sciences Hiring in 2027?
Several forces are shaping life sciences hiring in 2027, from growing AI adoption and increasingly data-driven R&D to the ongoing need for specialized talent across clinical development, manufacturing, quality, and regulatory work.
AI and data are changing the skills companies need
AI is increasingly intersecting with research, clinical development, and data analysis. This creates demand for technical specialists, but it also changes expectations for traditional scientific roles.
Life sciences companies may need professionals who understand the underlying science and can work effectively with data, automation, computational tools, and AI-enabled workflows.
R&D and clinical work remain core talent priorities
Despite changes in technology, scientific discovery and clinical development remain fundamental workforce needs. BioSpace’s 2026 survey found 50% of respondents anticipated hiring R&D professionals and 48% anticipated hiring clinical professionals.
The longer-term outlook also supports continued scientific hiring. BLS projects approximately 141,900 openings per year across life, physical, and social science occupations from 2025 to 2035.
Scientific innovation has to translate into execution
Discovery is only one part of bringing a therapy or product forward. Organizations also need the regulatory, quality, manufacturing, clinical, data, and technology capabilities required to move work through the development lifecycle.
That makes workforce planning increasingly interconnected. Hiring for an emerging capability may require organizations to consider the teams, processes, systems, and specialized expertise surrounding that role as well.
Explore the Future of Life Sciences
For employers, the 2027 life sciences talent conversation should start with the work that needs to get done.
That may mean hiring individual specialists for critical roles. It may also require building an entire project team, bringing in specialized expertise, or using consulting services to execute an initiative.
Insight Global helps life sciences organizations solve these needs through talent solutions and consulting services, connecting workforce strategy with the work companies need to accomplish. From scientific and clinical talent to technology, AI, data, and engineering, we help organizations build the capabilities required to move critical initiatives forward. Contact us to learn more.
Find Life Sciences Solutions
Questions? Call us toll-free: 855-485-8853
by Alexandra Woodford 
