Life Sciences Automation Talent: How to Hire for Pharma, Biotech and MedTech Growth
July 20268 min read
Life Sciences Automation Talent: How to Hire for Pharma, Biotech and MedTech Growth
Automation expertise is becoming one of the most important hiring priorities for pharma, biotech, MedTech, CDMOs, diagnostics companies and life sciences service providers in 2026.
Automation is no longer a novel concept for manufacturers, only taken on by a select few businesses innovating in the space, but an essential part of any efficient site looking at optimisations across cost, workloads, waste, and general efficiencies.
It also now heavily impacts how organisations are hiring talent to scale manufacturing, improve quality, and compete for market share:
In any industry, one of the key indicators of company success sits in their levels of hiring and attrition. Between our own data sets and wider industry talent insights, one thing is clear – the highest volumes of hiring and lowest levels of attrition sit in the companies hiring automation talent and innovating their manufacturing processes.
Technology alone will not deliver value, so life sciences leaders must now assess if they have the expertise required to turn automation investment into return on investment in environments where compliance, quality and patient impact are all critical.
Why automation is rising up the life sciences talent agenda
1. Manufacturing teams need scalable, compliant operations
Life sciences manufacturing is under pressure to increase capacity, control costs, and maintain regulatory standards.
Automation can support batch consistency, real-time monitoring, data capture and process control, while removing human inefficiencies and errors, reducing scrap and decreasing labour costs. However, this requires expertise across engineering, GMP, validation and production realities.
2. Quality and compliance expectations are rising
Automation does not remove compliance risk. It changes where that risk sits.
Automated systems need strong validation, documentation, data governance, audit trails, change control and deviation management. This is driving demand for quality and regulatory talent with CSV, CSA, GMP, GxP, 21 CFR Part 11, Annex 11, equipment qualification and quality systems experience.
3. AI and robotics are moving from pilot projects to operational use
AI, robotics and digital systems are becoming part of day-to-day life sciences workflows, but the value of these systems depends on integration, governance and user adoption.
As a result, demand is high for talent that can work across science, engineering, data, quality and operations, able to translate between technical teams and regulated business functions.
Learn more in our article: Technology trends reshaping life sciences hiring in 2026.
The most in-demand automation roles in life sciences
Hiring demand varies by company size, region, funding stage and technical maturity, but several roles are now key across the automation hiring market:
Automation engineers are core to manufacturing, process automation and lab automation projects. As well as building systems, they must understand validation, documentation, and the operational impact of every technical decision.
Desired experience includes PLC, SCADA, DCS, control systems, batch systems, robotics, equipment integration and regulated manufacturing environments.
As automated systems expand, so does demand for computer system validation and computer software assurance experts. These highly specialist professionals help companies prove that systems work as intended, meet regulatory standards, and maintain data integrity through their knowledge of technology, quality and compliance.
Manufacturing systems engineers support MES, equipment integration, electronic batch records, process data, historian systems and production workflows. These professionals help companies move from manual, paper-based processes to digital, connected manufacturing.
Robotics talent is gaining importance in labs, diagnostics, manufacturing and logistics. Within life sciences, robotics engineers need to understand precision, safety, contamination control, workflow design and integration with existing systems.
Automation creates more data. That data only creates value when organisations can structure, analyse and govern it. This is increasing the need for data engineers, AI specialists, machine learning professionals and digital transformation leaders who understand regulated life sciences environments.
As automation increases, validation teams need stronger digital and systems knowledge, so validation engineers are in high demand across equipment, process, cleaning, computer systems and manufacturing environments.
What skills make life sciences automation talent hard to hire?
Successful automation projects in life sciences require the right mix of skills as well as enough headcount, but finding the right people with experience in both specialist fields is a difficult task.
Many professionals have automation experience in industrial environments. Fewer have automation experience in regulated life sciences settings, and even fewer can lead projects across engineering, quality, data and business teams.
That is why life sciences automation hiring often takes longer than general engineering hiring, and why a broad search often produces a weak shortlist.
Depending on your hiring needs, skills and experience to prioritise when building teams for life sciences automation projects may include:
- GMP and GxP knowledge
- PLC, SCADA, DCS and MES experience
- CSV, CSA and equipment qualification expertise
- Data integrity and audit trail understanding
- AI, machine learning or advanced analytics exposure
- Strong documentation habits
- Change control experience
- Stakeholder management
- Cross-functional communication
- Vendor management
- Project delivery in regulated environments
Hiring teams should also look for candidates who can connect technical decisions to operational and compliance risk. They should be able to explain how changes could affect industry-specific challenges like batch release, inspection readiness, lab productivity, manufacturing output, data integrity, and patient safety.
The business risk of under-hiring automation talent in life sciences
Automation projects are capital-intensive. Talent planning that starts too late can result in delays, cost overruns and compliance issues, such as:
- Systems implemented without enough validation planning
- Automation platforms that do not fit lab or production workflows
- Poor integration between equipment, data systems and quality processes
- Over-reliance on vendors with limited internal capability
- Weak documentation
- Delayed regulatory readiness
- Loss of knowledge when contractors exit
To mitigate these risks, automation investment needs a well-planned talent strategy from the start, and at EPM Scientific, we’re already supporting leading firms with mapping out their needs and hiring the right experts.
Over the past 18 months, the number of firms coming to EPM Scientific for automation hiring has grown massively, particularly within some of the largest and best performing businesses in the life sciences industries.
How life sciences companies should approach automation workforce planning
Automation hiring works best when companies focus their search around business objectives, rather than treating roles as isolated vacancies.
1. Map automation goals to talent needs
Start by defining what the automation project needs to achieve. For example:
- Lower batch variability
- Better quality control
- Stronger compliance
- Lower dependency on manual processes
- Lower labour costs
- Higher yields
- Reduced scrap
Each goal requires a different talent mix.
2. Identify missing skills as early as possible
Before scaling automation, assess current internal capability through the following questions:
- Do we have enough validation expertise?
- Can our teams manage system integration?
- Do we have internal ownership of vendor-delivered systems?
- Can quality teams support automated workflows?
- Do scientists and operators have the skills to use new platforms?
- Can we govern the data created by automated systems?
Knowing the answers to these now will help to avoid reactive hiring later down the line.
3. Build cross-functional hiring plans
Automation does not belong to one department.
Hiring plans must connect R&D, engineering, manufacturing, quality, IT, data and regulatory teams to ensure that projects have the right expertise sitting across system design, technical execution, and compliance.
4. Balance permanent, contract and project-based talent
Many organisations need a mix of workforce models.
Permanent hires build long-term capability, while contractors and consultants can support project peaks, validation workloads, remediation, technology transfer, and implementation phases.
The right mix will depend on project stage, funding model, internal capability and delivery deadlines – speak to the EPM Scientific team for further support mapping your talent needs.
5. Benchmark compensation against adjacent markets
Life sciences companies are competing with advanced manufacturing, technology, diagnostics, energy, aerospace and consumer health for automation talent, so compensation needs to reflect that wider market.
Salaries also vary considerably by role, experience, location and technical specialisation. The following 2026 base salary ranges combine current benchmarks for automation, controls and validation engineering roles as a starting point:
| Market | Engineer or Specialist | Senior or Lead | Key Life Sciences Hubs |
| USA | $75,000–$125,000 | $120,000–$180,000+ | Boston and Cambridge, San Francisco Bay Area, San Diego, New Jersey and Philadelphia, Research Triangle |
| UK | £38,000–£65,000 | £60,000–£85,000+ | London, Oxford and Cambridge, Stevenage, the North West and Scotland |
| Ireland | €45,000–€85,000 | €80,000–€115,000+ | Dublin, Cork, Galway and Limerick |
| Germany | €55,000–€95,000 | €90,000–€125,000+ | Munich, Heidelberg, Berlin and Frankfurt |
| Switzerland | CHF80,000–CHF120,000 | CHF120,000–CHF160,000+ | Basel, Zurich and the Lake Geneva region |
| Singapore | S$70,000–S$120,000 | S$120,000–S$170,000+ | Singapore’s biopharmaceutical manufacturing and medical technology cluster |
| Australia | A$100,000–A$125,000 | A$125,000–A$160,000+ | Melbourne, Sydney and Brisbane |
Base salary is only one part of the package. Bonuses, equity, pensions or retirement contributions, healthcare, shift allowances, overtime and relocation support can materially affect total compensation. Employers also need a clear proposition around mission, technical complexity, career growth and project ownership.
Request a call back for life sciences automation compensation benchmarks tailored to your specific project, vacancy, or location.
What candidates want from automation roles in life sciences
Specialist automation professionals have options. Many are not actively applying for roles, which means employers need a strong engagement strategy to showcase how their automation investment gives them a strong story to take to market.
Automation talent is paving the way for increased efficiencies and outputs, hugely benefiting company financials. This financial stability, combined with typical higher salaries or rates as a result, makes these companies very attractive to work for. Investment in innovation and automation also serves as a huge piece in talent attraction and retention. Candidates want to work for companies at the forefront of innovation for personal development and the excitement of working in such novel areas.
In summary, vague job descriptions will not compete well. High-demand candidates will want to understand systems, scope, budget, stakeholders and business impact, and will assess roles based on a combination of:
- Project ownership
- Technology stack
- Leadership support
- Regulatory exposure
- Career progression
- Compensation
- Flexibility
- Training and upskilling
- Stability of funding
How can life sciences leaders plan for the future of automation?
Automation technology will keep advancing how companies run research, manufacturing, quality and data operations, but talent will decide how much value organisations gain from it.
Leaders can plan ahead now by:
- Reviewing automation capability across current teams
- Mapping upcoming automation projects to skills gaps
- Identifying hard-to-fill roles before project demand peaks
- Benchmarking salaries and candidate expectations
- Building stronger internal and external talent pipelines
- Engaging passive candidates earlier
- Using specialist life sciences recruitment insight to reach niche talent pools
How EPM Scientific supports life sciences automation hiring
EPM Scientific partners with companies across pharma, biotech, MedTech, diagnostics, CDMOs and life sciences services to identify and secure automation specialists.
Our teams know the difference between general automation capability and what life sciences automation roles really require, and can support your firm across:
- Permanent and contract hiring
- Senior appointments
- Project-based workforce planning
- Talent mapping
- Compensation insights
- Candidate engagement strategies
If your company is investing in automation, expanding digital manufacturing capability, or hiring for hard-to-fill technical roles, EPM Scientific can help you understand the market and connect with the right talent.
Learn more about our life sciences talent solutions, or get in touch with our team to discuss your hiring needs and build a workforce strategy that supports your next stage of automation growth.
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