2026 Best Career Pivot Options for People With a Bioinformatics Degree

Career pivoting has gained legitimacy as labor market data from the Bureau of Labor Statistics and insights from the National Association of Colleges and Employers reveal that professionals increasingly change occupations multiple times. This shift highlights the growing employer emphasis on transferable skills and adaptability rather than fixed career paths.

For those with a bioinformatics degree, this credential is especially versatile-combining computational expertise, biological science, and data analysis-which equips graduates with a broad set of capabilities applicable across diverse industries.

Entry-level career paths for bioinformatics degree holders often unfold into several key directions, showcasing the degree's flexibility:

• Data Science and Analytics: Emphasizing statistical modeling and large-scale data interpretation, this area aligns well with opportunities in business intelligence, healthcare analytics, and finance.
• Pharmaceutical and Biotech Project Management: Leveraging scientific knowledge and project experience, bioinformatics professionals transition smoothly into coordinating R&D, regulatory processes, and clinical trials.
• Health Informatics and Digital Health: The convergence of IT and healthcare opens roles in patient data systems, telemedicine, and personalized medicine initiatives-fields expanding rapidly with digital health advances.
• Technical Consulting and Scientific Communication: Strong analytical skills enable pivots into consulting for tech-driven life sciences or crafting communication strategies to make complex science accessible to varied audiences.
• Academic and Industry Research: Often a direct path, this pivot also spans emerging areas like computational biology, genomics, and AI-powered biomedical applications.

These common pathways reveal that a bioinformatics degree furnishes a versatile toolkit rather than a narrow specialization. Career pivot options for bioinformatics graduates depend heavily on building credentials, expanding professional networks, and reframing resumes to highlight relevant skills and achievements.

The article also navigates long-term career outcomes relevant to professionals at different stages, from recent graduates to mid-career changers seeking greater fulfillment or compensation.

For individuals considering further credentialing, exploring accelerated programs such as fastest online DNP programs may complement technical and interdisciplinary strengths for broader career horizons. Approaching career change as a strategic process enables bioinformatics graduates to confidently explore alternative professional paths aligned with evolving personal goals and labor market trends.

Graduates with a bioinformatics degree find increasing opportunities in several sectors beyond the traditional biotech and pharmaceutical fields. These industries value their analytical, computational, and biological data expertise, though recognition of the bioinformatics credential varies significantly across them, influencing career opportunities outside the traditional bioinformatics field.

• Healthcare Technology: This sector leads in hiring bioinformatics graduates, especially within genomics-focused digital health companies and personalized medicine initiatives.
  • Roles such as data scientists, clinical informaticists, and algorithm developers apply bioinformatics skills to enhance diagnosis and patient care outcomes.
  • Hiring managers here typically recognize bioinformatics degrees as core qualifications, often expecting relevant healthcare experience too.
• Agricultural and Environmental Sciences: Firms engaged in crop genomics, ecological analysis, and sustainable agriculture recruit graduates to work on sequencing data and environmental genomics projects.
  • Open positions include computational biologists and bioinformatics analysts supporting breeding programs, soil microbiome studies, and climate resilience research.
  • While recognition of bioinformatics is growing, candidates often need to demonstrate knowledge of agriculture-specific datasets and tools.
• Data Analytics and Technology Consulting: Numerous tech consulting and data analytics firms hire bioinformatics graduates as data scientists and analysts, leveraging their strong programming and statistical skills.
  • Here, bioinformatics-specific knowledge is less critical; professionals usually highlight transferable skills like coding, machine learning, and complex data interpretation.
  • This sector enables industry-switching by focusing on familiar research and analysis functions, facilitating credential translation.
• Financial Services and Quantitative Trading: Hedge funds and financial institutions recruit quantitatively adept science graduates, including those with bioinformatics backgrounds, for modeling, risk analysis, and algorithmic research roles.
  • Credentials in bioinformatics are respected mainly when coupled with strong math and coding skills; the domain knowledge itself is often less relevant.
  • Transitioning here requires upskilling in finance but allows leveraging analytical skills developed in bioinformatics.
• Regulatory and Compliance Agencies: Government entities and corporations employ bioinformatics holders for drug safety evaluation, clinical trial data review, and regulatory compliance.
  • Functions include data curation, policy analysis, and report generation using bioinformatics tools.
  • This sector values bioinformatics training, especially where biological data accuracy is crucial to decision making.
• Scientific Publishing and Communications: Academic publishers, media companies, and science communication firms hire bioinformatics graduates for content development, editorial work, and outreach roles.
  • They depend on bioinformatics credentials for credibility and accurate translation of complex science, alongside strong writing skills.
  • Industry-switching here maintains a research perspective while adapting to communication-centered deliverables.

Pivoting within familiar functional areas-such as staying in research, operations, or communications while switching industry-is usually less demanding credential-wise than moving into entirely new functional roles. Bioinformatics graduates should use informational interviews with professionals already working in adjacent industries to gather insights that help tailor resumes and identify employers valuing bioinformatics skills.

This strategy translates broad industry knowledge into concrete, personalized career plans. For those considering further education alongside working, exploring online nursing programs for working adults can offer flexible advancement options.

A bioinformatics degree equips career changers with strong skills in data analysis, computational biology, and problem-solving at the intersection of science and technology. It also develops competencies in programming, statistical modeling, and interpreting complex biological data, enabling smooth transitions into roles in biotechnology, healthcare analytics, research, and data science.

Data Analysis: Graduates gain expertise in managing and interpreting complex datasets, a skill applicable in finance for assessing risk and in marketing to extract customer insights.

Programming and Software Development: Competency in programming languages such as Python, R, and SQL prepares individuals for roles in software engineering, IT consulting, or automation in manufacturing sectors.

Research Methodology: Training in experimental design and critical analysis equips professionals for opportunities in user experience research, policy evaluation, and market analysis, where structured investigation is essential.

Problem-Solving: Addressing biological data challenges fosters analytical thinking useful in management consulting, product innovation, and operational improvement.

Interdisciplinary Collaboration: Experience coordinating across biology, computer science, and statistics sharpens teamwork skills crucial for corporate innovation initiatives and project management.

Scientific Communication: Ability to clearly convey complex results supports careers in technical writing, science communication, and healthcare information dissemination.

Statistical Reasoning: Mastery of probabilistic models and inference applies broadly to fields like actuarial science, quality control, and strategic planning.

To maximize these strengths, individuals should actively catalogue experiences from academics, internships, and projects, aligning competencies with target job criteria. For instance, coupling a machine learning project with analytics roles in fintech or e-commerce makes skills tangible for employers. This deliberate mapping ensures hiring managers recognize the candidate's value beyond traditional bioinformatics roles.

Communicating transferable skills effectively requires thoughtful framing-a skill developed through refining resumes and networking strategies that translate bioinformatics expertise into language recruiting managers seek.

A professional who completed a bioinformatics degree reflected on his transition: "Moving out of a specialized academic program into broader industries was daunting. I had to consciously pull out examples from my thesis and internships that showed analytical and programming expertise relevant to tech roles.

Initially, I assumed employers understood these connections, but I learned that explicitly telling the story of how my skills solve their problems made all the difference." This insight highlights that mastering the art of articulating one's competencies is key to successful career pivots.

Employers in adjacent fields evaluate a bioinformatics degree by focusing on a candidate’s ability to analyze large datasets, apply computational tools, and translate biological information into actionable insights. They also value programming proficiency, statistical reasoning, and research experience, especially when applicants can demonstrate how their technical and scientific skills support roles in biotech, healthcare analytics, pharmaceuticals, or data science.

Credential Translation: Employers unfamiliar with bioinformatics often struggle to interpret the value of its degree, requiring a translation of skills and knowledge into industry-relevant language. Graduates can improve this by tailoring resumes with clear terminology, selecting portfolio projects that demonstrate relevant competencies, and writing cover letters that connect academic experience to employer expectations, critical for how employers value bioinformatics degrees in related industries.

Degree Type and Institution Prestige: Advanced degrees such as master's and PhDs generally signal specialized technical proficiency, especially in larger organizations and competitive fields. Institution prestige often acts as an initial filter in these contexts, though smaller employers frequently prioritize hands-on skills and project experience over school reputation.

GPA and Academic Metrics: While GPA may reflect discipline and foundational knowledge, its importance fluctuates-especially in cross-disciplinary hiring where practical experience and problem-solving ability weigh heavier. Candidates demonstrating context for their academic record in applications tend to navigate this evaluation better.

Recruiters often default to familiar degree backgrounds, which can unintentionally disadvantage bioinformatics credentials when considered for roles typically suited to other disciplines. Countermeasures include thorough employer research, strategic networking, and emphasizing transferable skills through concrete examples rather than relying on degree titles alone.

Focusing on companies with known cross-disciplinary hiring practices-identifiable through LinkedIn alumni data, employee spotlights, and recruiting content-improves pivot success. Early career moves at these employers help establish a record of cross-sector competence before expanding job search horizons.

For insights on compensation potential in adjacent fields, see how much does medical coding pay.

Bioinformatics graduates can pivot into several entry-level roles that blend biology, data science, and computational skills across research, healthcare, and tech-driven industries. These positions often value analytical ability, programming knowledge, and familiarity with biological datasets more than extensive prior industry experience.

Data Analyst: This role entails interpreting intricate datasets to guide data-driven strategies. Key duties include cleaning and structuring data, conducting statistical evaluations, and generating visual summaries for decision-makers. Candidates need proficiency in Python or R, knowledge of SQL databases, and analytical problem-solving skills. Data analysts commonly report to data managers or business intelligence leads. Graduates with a bioinformatics degree have advanced expertise in handling biological data, statistical modeling, and algorithm design, allowing them to progress to mid-level positions within two to three years more rapidly than peers without specialized training.

Product Specialist: Acting as a liaison between technical teams and commercial stakeholders, product specialists gather user insights, evaluate product features, and support feature prioritization. Effective communication, understanding of software development cycles, and domain expertise are essential. Reporting is usually to product managers or marketing directors. Bioinformatics graduates benefit from interdisciplinary knowledge-integrating biology, computing, and analytics-that enables clearer translation of technical constraints and customer needs, accelerating their path into product management roles.

Regulatory Affairs Associate: Charged with ensuring compliance in regulated industries like pharmaceuticals, this role includes preparing documentation, tracking regulatory updates, and interacting with authorities. Attention to detail, familiarity with regulatory standards, and strong written communication are critical. Typically reporting to regulatory affairs managers, bioinformatics graduates' familiarity with molecular data and experimental workflows eases comprehension of scientific validation, trimming early learning curves by up to 30% compared to those without scientific backgrounds.

Operations Coordinator: Supporting seamless project execution, operations coordinators manage scheduling, resource allocation, and inter-team communication. Required skills include organization, knowledge of project management tools, and foundational data reporting. Reporting lines often lead to operations managers or project leads. Bioinformatics-trained individuals bring analytical skills and experience with complex datasets that improve operational efficiency and facilitate advancement within 18 to 24 months.

Technical Sales Representative: Focused on selling scientific instruments or software, this role demands client engagement, product demonstrations, and addressing technical questions. Strong interpersonal skills and deep product knowledge are vital. Reporting typically goes to sales managers or regional directors. Bioinformatics experience provides enhanced technical credibility-boosting client trust and communication-which speeds promotional opportunities beyond generalist sales representatives.

A professional who built her career after graduating with a bioinformatics degree shared her experience navigating entry-level pivots. She recalled feeling apprehensive about seeming to "start over" but found her technical background a distinct advantage when applying for roles like data analysis and product support. "The biology-computer science blend gave me unique credibility," she explained, noting faster progression and a clearer understanding of cross-functional work than colleagues without similar training.

Her reflections emphasized that rather than a setback, pivoting was an opportunity to leverage foundational skills in new contexts, ultimately shaping a rewarding career path guided by deliberate role selection rather than compromise.

Median early-career salaries for traditional bioinformatics roles range from approximately $70,000 to $85,000, growing to about $100,000 to $120,000 by mid-career. Several alternative career paths, however, offer notably higher earnings-especially when total compensation packages beyond base salary are considered.

• Enterprise Technology: Careers in software engineering or data science at leading tech firms typically start above $110,000 early on, with total compensation-including bonuses and equity-exceeding $180,000 mid-career.
  • These salaries reflect lucrative equity grants, performance incentives, and extensive benefits characteristic of capital-intensive tech sectors.
  • Gaining advanced coding skills and data engineering expertise can boost entry chances and career progression.
• Financial Services: Positions such as quantitative analyst or risk modeler often surpass $100,000 early and can exceed $160,000 in total rewards mid-career.
  • The sector highly values quantitative and computational abilities common to bioinformatics.
  • Bonuses and profit-sharing-linked to firm and individual performance-form a substantial portion of earnings.
• Management Consulting: Specialist firms focusing on life sciences or healthcare strategy offer early-career pay roughly between $90,000 and $110,000, reaching beyond $150,000 mid-career.
  • Compensation emphasizes analytical problem-solving skills, communication, plus bonuses and travel perks.
  • Further credentials, such as an MBA, can accelerate advancement.
• High-Growth Startups: Base salaries may be lower here, but equity stakes in biotech or health-tech startups can lead to substantial wealth accumulation at later stages.
  • These roles demand risk tolerance and versatile interdisciplinary skills.
  • Additional benefits-remote work, flexible schedules, and professional development-add meaningful value.

Differences in compensation largely arise from economic structures-high-margin industries like tech and finance compete aggressively for talent, yielding richer packages. Lower-margin sectors such as nonprofits, academia, and government typically provide more modest pay aligned with budget constraints and mission priorities.

Total compensation complexity is significant for high-paying careers-salary, annual bonuses, equity, retirement contributions, health benefits, and flexible work options all factor into the overall package. Bioinformatics graduates should cultivate financial literacy to evaluate entire compensation offers rather than base pay alone.

Choosing a lucrative pivot path often means investing in additional credentials, extending preparation time, and increasing networking efforts. Evaluating these opportunity costs against prospective financial rewards is essential to planning a sustainable and strategic career transition.

Professionals with a bioinformatics background are uniquely positioned to enter several high-growth sectors where data-driven insight and biological expertise intersect. These industries expand rapidly due to technological advances and a rising need for complex data analysis, creating clear opportunities for bioinformatics-trained individuals to leverage their analytical and computational skills.

• Healthcare and Precision Medicine: Personalized treatment strategies derived from genetic and molecular data drive sustained sector growth. Bioinformatics expertise enables processing large genomic datasets, creating roles in clinical data analysis and biomarker discovery. Innovation-focused healthcare startups and research centers increasingly prioritize adaptable skills over traditional credentials.
• Pharmaceutical and Biotechnology: Accelerated drug discovery depends on integrating data from laboratory experiments and clinical trials. Bioinformatics professionals facilitate candidate screening and mechanism analysis, combining biology with machine learning techniques. Growth fueled by biotech hubs and mergers favors candidates demonstrating cross-disciplinary fluency and project experience.
• Agricultural Technology (AgTech): Sustainable food production relies on genomic insights to improve crops and livestock. Bioinformatics supports gene expression and environmental data analysis to optimize yields. This emerging field values problem-solving skills and computational ability, offering accessible entry points for career pivots.
• Environmental and Conservation Sciences: Organizations analyzing ecological genetic data for biodiversity and climate studies create demand for bioinformatics practitioners who can interpret large, complex datasets and provide actionable environmental insights.
• Artificial Intelligence Applied to Life Sciences: The fusion of AI and bioinformatics increases demand for professionals combining machine learning with biological system knowledge. Rapidly scaling startups and tech firms actively recruit individuals capable of hybrid modeling, predictive analytics, and natural language processing.
• Health Tech and Digital Therapeutics: Companies developing biological and behavioral data-driven digital solutions seek bioinformatics talent for data interpretation and algorithm development. Fast-growing firms prefer candidates with learning agility and relevant project portfolios rather than strictly academic backgrounds.

Targeting employers in these sectors involves identifying organizations experiencing rapid funding increases, startup acceleration, or public innovation programs. Bioinformatics graduates should emphasize transferable skills such as data mining, statistical analysis, and software development to appeal to expanding talent pipelines that prioritize competency over conventional credentials.

Incorporating growth-sector targeting into a holistic job search strategy helps balance opportunity volume, career fit, and compensation potential. Prospective pivoters should also evaluate their personal risk tolerance, as high-growth sectors can present increased job volatility compared to established industries.

Graduate certificates offer a strategic and efficient pathway for bioinformatics degree holders seeking to pivot careers without committing to lengthy or costly degree programs. According to the National Center for Education Statistics (NCES), most graduate certificates require less than one year of study, often part-time, and cost significantly less than full master's or doctoral degrees.

This accelerated format enables professionals to acquire targeted skills that complement their bioinformatics foundation while addressing specific industry demands, a key benefit of graduate certificate programs for bioinformatics degree holders.

Certificates differ from full degrees by focusing on niche skill areas, signaling to employers that the candidate has relevant expertise. The American Council on Education reports that employers increasingly value certificates earned from accredited institutions aligned with industry standards.

However, credential inflation presents a risk; prospective students should evaluate certificates based on accreditation, employer recognition, alumni success, and return on investment to avoid programs adding little career value.

Popular graduate certificate categories among bioinformatics graduates pivoting careers include data analytics, project management, UX research, public health, nonprofit management, and financial analysis. Salary data indicates certificates in data analytics and project management often deliver measurable salary gains, averaging 8-12% above peers lacking these credentials, due to demand in technology and healthcare sectors.

Hiring manager surveys show a preference for candidates holding these certificates when moving into roles requiring both technical and leadership skills.

Timing is crucial when integrating certificates into career pivot strategies: some earn certificates before applying for new jobs to clear credential barriers, others during job searches to demonstrate commitment, and some after securing roles as continuing education. Candidates should align certificate acquisition with personal goals and transition deadlines.

For those considering related fields, exploring sonography programs online may also offer flexible career options. 

In 2023, NCES reported a 15% increase in graduate certificate enrollments among STEM professionals, highlighting growing recognition of certificates as valuable career tools supporting career pivots in bioinformatics.

Degrees in bioinformatics primarily demonstrate foundational knowledge, while professional certifications serve as critical validation tools in career pivots, signaling practical skills valued by employers. Industry-recognized credentials act as labor market signals in fields adjacent to bioinformatics, such as project management, analytics, human resources, and cloud technologies.

They provide a measurable competitive advantage by confirming readiness for specific roles beyond academic achievement, thereby enhancing hiring prospects.

For bioinformatics graduates, some of the most relevant professional certifications include:

• Project Management Professional (PMP): Requires 35 hours of project management education and 4,500-7,500 hours leading projects; preparation typically takes 3-6 months; the exam fee is around $555; highly valued in pharmaceutical, biotech, and IT project roles.
• Certified Analytics Professional (CAP): Requires a bachelor's degree plus 5 years of analytics experience; usually 3-4 months to prepare; exam costs about $695; widely recognized for data analytics positions across industries.
• SHRM Certified Professional (SHRM-CP): Requires relevant HR experience; preparation is about 2-3 months; exam fee near $400; applicable in HR roles within healthcare and research organizations.
• Salesforce Administrator: No formal prerequisites; preparation can take 1-3 months; exam fee is $200; valued by companies using Salesforce for customer and project data management.
• Certified ScrumMaster (CSM): Requires attendance in a 2-day course with the exam included; costs between $1,000 and $1,500; relevant in agile environments common in software and biotech firms.
• Google Data Analytics Professional Certificate: No prerequisites; self-paced over approximately 6 months; cost varies by platform; increasingly respected for entry-level data roles.
• Certified Clinical Data Manager (CCDM): Requires clinical data management experience; preparation about 3 months; costs around $400; specific to pharma and clinical trials data roles.

Before investing in certifications, effective research is essential. Scan job postings and LinkedIn profiles in your target pivot field to identify which credentials employers recognize and value. Conduct informational interviews for firsthand insights on relevant certifications that materially affect hiring decisions.

This approach ensures time and money are directed toward credentials with real impact on career transitions, key to understanding professional certifications for validating bioinformatics career pivots.

Strategically integrate certifications into your pivot timeline. Begin preparation early and list in-progress credentials on your resume and LinkedIn using phrases like "PMP Candidate" or "CAP Certification - In Progress." This signals continuous learning and proactive career management, traits that employers highly regard.

Such deliberate credential strategies enhance your competitiveness, maximizing the impact of industry-recognized credentials on bioinformatics job transitions.

Prospective students and professionals aiming for credential flexibility should also explore related accredited programs. Resources like the best PMHNP programs can guide further specialization in areas intersecting healthcare and data science, expanding long-term career opportunities.

Freelance and contract work offer bioinformatics degree holders a dynamic route to pivot careers by accruing relevant experience and crafting a compelling professional portfolio. The expanding gig economy-expected to encompass over half of the workforce in select sectors within a few years-opens diverse pathways for those with scientific and analytical training to enter related industries without immediate full-time commitments.

• Content Development: Producing scientific articles or educational content leverages domain expertise while showcasing communication abilities valuable for marketing or education-focused roles.
• Research Assistance: Remote support on research projects strengthens subject matter knowledge and builds endorsements crucial for consulting or biotech jobs.
• Data Entry and Analysis: Handling contract data tasks hones analytical skills and furnishes documented work examples for data science or health informatics fields.
• Virtual Assistance: Managing administrative duties in scientific contexts sharpens organizational competencies prized in project management roles.
• Communications Consulting: Guiding scientific messaging draws on technical understanding and expands client interaction skills needed in science communication.
• Project Coordination: Freelance oversight of small projects develops leadership experience and cross-disciplinary workflow familiarity.

Choosing appropriate platforms-both niche scientific marketplaces and mainstream freelance sites-and clearly defining services, such as "Bioinformatics Data Cleaning" or "Scientific Content Editing," foster client attraction. New freelancers benefit from modest initial rates to build reputation and positive feedback, gradually increasing fees alongside growing credentials.

Highlighting the unique analytical rigor and specialized knowledge a bioinformatics degree confers distinguishes candidates in freelance markets. Translating contracted work into portfolio achievements and detailed resume entries-emphasizing outcomes, skills applied, and client testimonials-enhances candidacy for full-time opportunities in new sectors.

Candidates must consider financial security and risk tolerance before pursuing freelance-first pivots, as steady earnings can be unpredictable and certain regulated industries limit contract options. Still, for those with adequate resources, freelancing expedites establishing credibility across sectors-studies report nearly 60% of bioinformatics professionals engage in freelance or contract work prior to securing permanent roles in alternative fields.

Intentional networking is vital for bioinformatics graduates pivoting careers, especially those without existing contacts in their target industries. Studies from Harvard Business Review, MIT Sloan Management Review, and labor market sociology show that informal networks and weak ties often outperform formal applications in securing job opportunities.

Referral hiring drives many placements, making strategic outreach essential.

• Alumni Network Activation: Locate bioinformatics alumni who have transitioned to your desired sector and connect using personalized messages that reference shared experiences for credibility and insights.
• Professional Association Entry: Join relevant industry associations to access events, job postings, and practitioner networks; participate actively to build visibility and stay informed.
• Informational Interview Campaigns: Request brief, focused interviews with professionals emphasizing genuine curiosity about their career paths and industry insights-avoid directly asking for jobs.
• LinkedIn Strategic Connection-Building: Identify target-role professionals and send customized connection requests highlighting common interests or backgrounds; maintain relationships by sharing relevant content and engaging consistently.
• Community of Practice Engagement: Contribute regularly in specialized forums or groups bridging bioinformatics and your target field to enhance reputation and demonstrate expertise.

Networking can provoke imposter syndrome and fear of rejection for career changers. Using simple, respectful language-such as "I admire your work in [field] and would appreciate 15 minutes to hear about your experience"-helps reduce anxiety and fosters authentic dialogue.

Establish a weekly networking routine with set goals-like connecting with three new contacts or completing one informational interview-and track progress to transform networking into a deliberate, ongoing career strategy instead of a last-minute effort.

• Top 10 In-Demand Bioinformatics Career Paths With Excellent Future Scope! https://www.biotecnika.org/2024/11/top-10-bioinformatics-career-paths-with-excellent-future-scope/
• Top 10 Certifications for a Global Biotech Career – Which Ones Are Worth It? https://www.biotecnika.com/certifications-for-global-biotech-career-and-job-opportunities/
• Careers in Bioinformatics - Zetta Genomics https://zettagenomics.com/careers-in-bioinformatics/
• Dreaming about Bioinformatics Job? Here is a handful of info for you. https://biotechvibes.com/insight/10/dreaming-about-bioinformatics-job-here-are-handful-information-for-you
• Life as a Bioinformatics Freelancer: Finding work https://blog.gene-test.com/life-bioinformatics-freelancer-finding-work/
• So You Want to Be a Freelance Bioinformatician https://gringer.github.io/blogs/freelancing.html
• Career Path for Bioinformatics Job Roles in 2026 - Bversity https://bversity.io/blog/career-path-for-bioinformatics-job-roles-in-2026