Career planning works better when it starts with evidence than when it starts with a prediction that “jobs will disappear” or that everyone will become a freelancer. Occupations change at different speeds, employers use inconsistent job titles, and a strong national outlook does not guarantee demand in your city or eligibility for a remote role.
This guide identifies career directions with measurable signals in 2026, explains where the evidence is strong or limited, and gives you a way to decide which skills are worth building next. It does not predict a single future of work.
Use forecasts to narrow a research question—not to choose a career without checking the work, entry requirements, and local market.
How to read career forecasts without being misled
Different sources answer different questions. U.S. Bureau of Labor Statistics (BLS) projections estimate employment change in defined U.S. occupations over 2024–2034; they are not global vacancy counts or guarantees of individual hiring. O*NET describes work activities, knowledge, skills, and common titles; it is especially useful when a newer job title does not have its own official employment series. Eurostat measures employment in the European Union, while the World Economic Forum (WEF) reports what surveyed employers expect to change. None of these sources can tell you whether one specific company will hire you next month.
| Source | What it can tell you | What it cannot tell you |
|---|---|---|
| BLS Occupational Outlook Handbook | U.S. occupation definitions, typical education, median pay, and projected employment change over a stated period. | A remote-work guarantee, an international salary, or the hiring plan of one employer. |
| O*NET OnLine | Tasks, skills, tools, work context, and related job titles across more than 900 occupations. | A current vacancy count or a standardized salary forecast for every emerging title. |
| Eurostat ICT employment data | EU employment levels and country differences for ICT specialists. | Whether an individual employer offers remote work, sponsorship, or a particular level of pay. |
| WEF Future of Jobs Report 2025 | Employer expectations about skills and workforce change through 2030. | A verified count of jobs that will be created or eliminated in your region. |
The WEF report draws on a survey of more than 1,000 global employers representing more than 14 million workers. It is a useful signal of employer expectations, not a labor-market census. The report identifies AI and big data, networks and cybersecurity, and technological literacy among the skills employers expect to grow fastest in importance. Read its skills outlook and methodology before treating its results as a forecast.
What the 2026 evidence supports
The clearest conclusion is not that one job will replace another. It is that employers continue to need people who can turn data into decisions, operate reliable technical systems, secure infrastructure, and work responsibly in regulated domains. The role labels, education requirements, and location options vary sharply.
| Career direction | Evidence signal | Skills to build | Important limitation |
|---|---|---|---|
| Data science and decision analytics | BLS projects U.S. data-scientist employment to grow 34% from 2024 to 2034, with about 23,400 openings a year on average. | SQL, Python or R, statistics, experiment design, data quality, visualization, and clear communication of uncertainty. | This is a U.S. occupation projection. Entry requirements vary, and a dashboard-only portfolio does not prove statistical or business judgment. |
| Cybersecurity and resilient systems | BLS projects U.S. information-security-analyst employment to grow 29% from 2024 to 2034, with about 16,000 openings a year on average. | Networking, operating systems, identity and access management, log analysis, incident response, risk communication, and secure cloud practices. | Many roles require prior IT experience, on-call work, certifications, or location-specific security clearance. |
| MLOps and AI systems operations | There is no standalone BLS occupational series for “MLOps engineer.” The direction is supported by adjacent demand for data, software, cloud, and security work—not by one official growth percentage. | Python, version control, CI/CD, data pipelines, model evaluation, monitoring, retraining, documentation, and governance. | Do not use an “AI” title as proof of a job market. Check whether employers need production operations, research, analytics, or prompt-content work. |
| Bioinformatics and computational biology | O*NET describes bioinformatics scientists as people who may design databases and algorithms to process genomic and other biological information. | Biology, statistics, Python or R, Linux, reproducible workflows, scientific databases, and research communication. | There is no single BLS projection or salary series for this exact O*NET title. Many roles are tied to research institutions, laboratories, or regulated data environments. |
| Genetic counseling | BLS projects U.S. employment to grow 9% from 2024 to 2034, with about 300 openings a year on average. | Clinical communication, genetics, ethics, counseling, documentation, and local regulatory knowledge. | It is not a short technical pivot: in the United States, this path typically requires a master’s degree, licensure, and board certification. |
| Remote-aware technical maintenance and systems monitoring | Technology enables remote monitoring and triage, while BLS projects the broader installation, maintenance, and repair group to have about 608,100 U.S. openings a year on average through 2034. | Troubleshooting, networking, telemetry, ticketing, safety procedures, technical documentation, and escalation to field teams. | Monitoring can be remote; repair of physical equipment often is not. Do not mistake a hybrid support role for location-independent work. |
The figures above are intentionally limited to sources that publish a clear occupation, period, and geography. They should not be combined into a global ranking. The BLS pages for data scientists, information security analysts, and genetic counselors provide the underlying U.S. data and definitions.
Where the work is growing is not the same as where you can work remotely
Remote work is an operating model, not an occupation. A data scientist, designer, security analyst, or project manager may work remotely, hybrid, or on site depending on the employer’s data-access rules, customer contracts, time zones, and country of employment. A lab or field-services job may include remote analysis while requiring physical presence for samples, equipment, patient care, or repairs.
For regional context, Eurostat reported that 10.45 million people were employed as ICT specialists across the EU in 2025, representing 5.0% of all employed people. That number is an employment stock, not a count of open positions; it also conceals substantial differences between countries. Sweden’s ICT-specialist share of employment was 8.9%, compared with 2.5% in Greece. Use national and city-level job listings, wage data, language requirements, and work-authorization rules before treating a European-wide figure as an opportunity in your location.
Career paths in more detail
1. Data scientist: a path for people who can connect analysis to decisions
BLS reports a U.S. median annual wage of $112,590 for data scientists in May 2024 and projects 34% employment growth through 2034. Those are national figures, not a remote salary range. The role typically requires at least a bachelor’s degree in a quantitative field, although employers vary in how they evaluate equivalent experience.
A realistic first project: choose a public dataset, document a business question, clean the data, test a clearly stated hypothesis, show limitations, and present a decision recommendation. A notebook that only trains several models is less useful than one that explains the quality of the input and the consequence of an error.
Good entry signals: SQL queries you can explain, a concise analysis memo, a reproducible repository, and evidence that you can communicate with nontechnical stakeholders.
2. Cybersecurity analyst: a path that rewards technical depth and judgment
The U.S. median annual wage for information security analysts was $124,910 in May 2024; BLS projects 29% growth through 2034. The work includes monitoring systems, investigating incidents, protecting networks, documenting risk, and explaining security trade-offs. It is not limited to penetration testing, and it can include on-call responsibility.
A realistic first project: build a small home or cloud lab, document a basic threat model, configure logging, investigate a simulated suspicious event, and write an incident report that states what happened, what evidence supports it, and what control would reduce the risk.
Good entry signals: foundational networking knowledge, careful documentation, familiarity with logs and identity controls, and a willingness to explain what you do not know rather than guessing during an incident.
3. MLOps: a systems path, not a shortcut to an AI title
MLOps applies software-operations practices to machine-learning systems: versioning data and code, testing workflows, deploying models, monitoring quality, and deciding when a model needs retraining or rollback. Because employers use titles such as MLOps engineer, ML platform engineer, AI operations engineer, or data platform engineer, national labor datasets do not provide one consistent growth rate or salary for this path.
A realistic first project: take a small, non-sensitive dataset from a public source; create a version-controlled training pipeline; record evaluation metrics and data assumptions; deploy a simple service; and add a monitor for failures or quality drift. The valuable evidence is your process, not claiming that you built a general-purpose AI product.
Learning resource: Microsoft’s Introduction to Machine Learning Operations is a vendor-specific learning path that covers source control, workflow automation, deployment, and monitoring. It is useful for structure, but it does not replace practical engineering experience or make someone qualified for every cloud platform.
4. Bioinformatics: combine computing with scientific method
Bioinformatics work can involve processing genomic or other biological data, maintaining scientific databases, designing algorithms, and communicating findings to researchers or clinicians. O*NET lists job titles such as Bioinformaticist, Research Scientist, and Scientific Database Curator, but these titles have varied education requirements and do not share one standardized U.S. salary or projection series.
A realistic first project: use open, non-identifiable data to reproduce a documented analysis, explain each input and quality-control step, version the workflow, and write a short methods section. Never use patient data or claim clinical significance without the appropriate training, approval, and supervision.
Learning resource: the U.S. National Center for Biotechnology Information provides free courses, webinars, tutorials, and training materials. Pair those resources with statistics and programming practice; database familiarity alone is not a full bioinformatics qualification.
5. Genetic counseling: meaningful work with strict professional requirements
Genetic counseling is a patient-facing, regulated healthcare profession. BLS reports a U.S. median annual wage of $98,910 in May 2024 and projects 9% employment growth from 2024 to 2034. The same BLS profile says genetic counselors typically need a master’s degree and that nearly all U.S. states require licensure, which typically requires board certification.
This does not support claims about creating organs, prescribing genetic medicines, or offering clinical advice. Those activities are distinct scientific, medical, and regulatory domains. Explore this path only through accredited education, supervised practice, and the rules of the jurisdiction where you intend to work. In the United States and Canada, the Accreditation Council for Genetic Counseling program directory explains the connection between accredited programs and certification eligibility.
6. Technical maintenance: add digital diagnostics to hands-on expertise
Physical infrastructure still needs people who can inspect, troubleshoot, repair, document, and work safely. Remote tools can surface an alert, connect a specialist to a customer, or help a field team diagnose a problem, but they do not make every maintenance job remote. O*NET’s descriptions of network administrators and equipment technicians emphasize monitoring, troubleshooting, repair, and quality control.
A realistic first project: create a network or equipment-monitoring lab, simulate a fault, document the alert path and resolution, and explain when remote triage stops and an on-site technician is needed. Cisco Networking Academy’s Networking Basics is a beginner resource for networking devices, media, and protocols.
Five steps to test a career direction in your region
- Choose one role family, not a trend. Write a target such as “junior data analyst in healthcare” or “network support technician for distributed infrastructure,” not simply “AI” or “remote work.”
- Review 20 current postings. Record location, work arrangement, required skills, education, years of experience, language, work authorization, salary where disclosed, and repeated tools. Separate genuine requirements from optional ones.
- Compare official occupation data with local evidence. Use BLS for U.S. projections, Eurostat for EU context, your country’s labor statistics where available, and O*NET for task detail. National growth does not override local licensing, language, or hiring conditions.
- Build one verifiable proof of work. Create a small project that resembles an entry-level task: an analysis memo, a secure lab, a versioned pipeline, a documented scientific workflow, or a maintenance troubleshooting case. Explain limits and sources.
- Set a 60–90-day checkpoint. Apply to a realistic set of roles, ask practitioners about the work, identify the recurring gaps in your applications, and decide whether the next investment is a course, certificate, portfolio project, degree, or a different target role.
A decision table for comparing career options
| Question | Evidence to collect | Why it matters |
|---|---|---|
| Is the role a recognized occupation or an employer-specific title? | BLS or local occupational classification; O*NET title matches; 20 current job postings. | Employer-specific titles can conceal very different duties, pay levels, and prerequisites. |
| What must I already know on day one? | Repeated requirements from postings; interview feedback; certification or license rules. | It separates a 90-day skill gap from a multi-year education or supervised-practice path. |
| What work can be done remotely? | Written policy, location eligibility, time-zone requirement, data-access rules, and whether field or lab work is essential. | “Remote” can mean hybrid, country-limited, or temporary rather than work from anywhere. |
| What pay information is comparable? | Same country, occupation, seniority, employment type, and date. Check currency, bonus, equity, and benefits separately. | A national median cannot be compared directly with freelance billing, a global contractor rate, or an offer in another country. |
| What risk would make this path unsuitable? | Licensing, tuition, required relocation, unstable contract work, on-call duties, shift work, confidentiality rules, or a narrow employer market. | A role can have growing demand and still be a poor fit for your constraints. |
How to use salary data responsibly
The salary figures in this article are BLS medians for the United States in May 2024. A median means half of workers earned more and half earned less; it is not an entry-level promise or an international conversion. For any role, compare the country, city, seniority, employment type, current date, currency, and total compensation before drawing a conclusion. Use Jobicy’s salary pages as an additional estimate for remote-work research, then validate the actual package with the employer.
When you are ready to apply, translate only verified skills and projects into your resume. Jobicy’s Resume Score Analyzer can help you review relevance and clarity, but it cannot prove you meet licensing, security-clearance, or clinical requirements.
Bottom line
The most durable career move is usually not to chase the loudest prediction. It is to select a real role family, understand its entry barriers, build a small proof of relevant work, and test the market in the location where you can legally and practically work. Data, security, technical operations, and regulated science all offer credible paths, but each requires a different level of education, accountability, and in-person presence.
Editorial note: This article is general career guidance, not medical, legal, licensing, tax, immigration, or financial advice. Medical and genetic roles are regulated and may require accredited education, supervised practice, examination, registration, or licensure. Forecasts and wage data change; verify the latest official source and local requirements before making a major education or relocation decision.
About the author Yuri KoHi 👋🏼 I’m Yuri, founder of Jobicy — a global platform for remote jobs and digital careers. I’ve spent years building hiring tools, career resources, and supporting distributed teams. My mission is to make remote work accessible, transparent, and human-centered. Through my articles and products, I share honest, actionable insights to help people grow their careers and help companies succeed in the modern work environment.
