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Ai Bioinformatics Jobs in Raleigh, NC (NOW HIRING)

... AI-enabled advanced genetic analytics platform, and by helping people understand their personal ... bioinformatics, computational biology, statistics or a closely related field - and you have led ...

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Ai Bioinformatics information

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$57.8K

$91.8K

$145.3K

How much do ai bioinformatics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai bioinformatics in Raleigh, NC is $91,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $125,900.00 per year, depending on experience, location, and employer.

What is an AI bioinformatician?

AI bioinformaticians are professionals who combine artificial intelligence (AI) techniques with bioinformatics to analyze and interpret complex biological data. They use machine learning, deep learning, and other AI tools to identify patterns in genomic, proteomic, and other biological datasets. Their work supports advancements in fields such as personalized medicine, drug discovery, and genomics research. AI bioinformaticians often have expertise in biology, computer science, statistics, and data science.

How does an AI bioinformatics professional typically collaborate with researchers and other team members in interdisciplinary projects?

AI Bioinformatics professionals frequently work in interdisciplinary teams, partnering with biologists, data scientists, software engineers, and healthcare researchers. Collaboration often involves translating biological questions into data-driven problems, developing machine learning models, and interpreting results in the context of ongoing research. Clear communication is essential, as the role requires bridging the gap between computational methods and biological insights. Regular meetings, code sharing, and joint analysis sessions are common practices to ensure all stakeholders are aligned and project goals are met.

What are the key skills and qualifications needed to thrive as an AI bioinformatician, and why are they important?

To thrive as an AI Bioinformatician, you need strong expertise in computational biology, statistics, and machine learning, typically supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of AI frameworks like TensorFlow or PyTorch are required. Effective problem-solving, collaboration, and clear scientific communication are crucial soft skills in this role. These competencies are important for extracting meaningful insights from complex biological data, driving innovation, and advancing research in genomics and healthcare.

What is the difference between Ai Bioinformatics vs Bioinformatics Analyst?

AspectAi BioinformaticsBioinformatics Analyst
Required CredentialsDegree in Bioinformatics, Computer Science, or related fields; knowledge of AI/ML toolsDegree in Bioinformatics, Biology, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, biotech companies, AI-focused teamsResearch institutions, healthcare, biotech firms
Employer & Industry UsageTech companies, biotech firms integrating AIHealthcare, research institutions, biotech companies
Common Search & ComparisonYesYes

Ai Bioinformatics focuses on applying artificial intelligence and machine learning techniques to analyze biological data, often requiring programming and AI expertise. Bioinformatics Analysts primarily analyze biological data using traditional bioinformatics tools. While both roles involve data analysis in biology, Ai Bioinformatics emphasizes AI-driven methods, making it suitable for advanced computational projects.

What is the role of AI in bioinformatics?

AI in bioinformatics involves using machine learning and deep learning algorithms to analyze biological data, such as genetic sequences and protein structures. Bioinformatics professionals develop models to identify patterns, predict functions, and assist in drug discovery, often utilizing tools like Python, R, and specialized AI frameworks. This role requires strong computational skills and knowledge of biology to interpret complex datasets effectively.

Will AI take a bioinformatics job?

AI bioinformatics involves using artificial intelligence and machine learning tools to analyze biological data, and it is increasingly integrated into the field. While AI automates certain tasks, it complements human expertise, and bioinformaticians are needed to interpret results, develop algorithms, and manage data workflows. The role requires skills in programming, data analysis, and understanding biological concepts, making it unlikely that AI will fully replace human bioinformaticians soon.

What cities near Raleigh, NC are hiring for Ai Bioinformatics jobs?

Cities near Raleigh, NC with the most Ai Bioinformatics job openings:

Lead Scientist

Raleigh, NC โ€ข On-site

Other

Medical, Life, Retirement, PTO

Posted 25 days ago


Job description

Location: Durham, North Carolina (Hybrid)

The Mission: Why We Exist

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

A Day in the Life

No two projects look the same, but a typical week might see you framing the right scientific question for a complex genomic analysis, then structuring the work so your team can run with it. You make the decisive calls when a problem is ambiguous or novel, and you roll up your sleeves on the toughest analyses yourself rather than watching from the sidelines.

You might act as strategic consultant to an external pharma or biotech partner in the morning - fielding sharp technical questions in real time - and mentor a junior colleague through a tricky method in the afternoon. Throughout, you are translating dense genomic results into clear, actionable insight, spotting delivery risks before they become problems, and keeping one eye on scientific quality and the other on scope, timelines and the partner experience.

Who You Are

You are a scientist who has moved beyond individual contribution and wants genuine ownership of outcomes. You hold a PhD (or equivalent experience) in a quantitative life-science discipline - genomics, bioinformatics, computational biology, statistics or a closely related field - and you have led complex scientific projects from end to end, managing timelines, scope and stakeholder expectations along the way.

You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS, polygenic risk scores and related methodologies. Success in this role demands a robust grasp of statistical human genetics, applied inventively in a partner-facing environment: you excel at unravelling complex genomic data and have a knack for translating raw findings into actionable consulting insights, working collectively with both your highly skilled internal team and external partners.

You communicate with equal ease whether presenting to a non-specialist audience or debugging a method at your desk, you make sound analytical judgements under uncertainty, and you work naturally across teams. Most of all, you are ready to start bringing others up with you.

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth
  • Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation.

  • Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.

  • Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off
  • Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.

  • Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.

  • Enhanced Leave: Enhanced paid family leave to support all new parents.

Work Environment & Culture
  • Flexible Working: Hybrid Working (e.g., From our London, Oxford Office)

  • Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.

  • Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.

  • Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.

Ready to Build the Future?

We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.

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