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Bioinformatics Machine Learning Internship Jobs in North Carolina

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking a Bioinformatics Scientist to support institute research programs, with a focus on ... This role requires expertise in statistical modeling, machine learning, and integrative analysis to ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking a Bioinformatics Scientist to support institute research programs, with a focus on ... This role requires expertise in statistical modeling, machine learning, and integrative analysis to ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are currently searching for Bioinformatics Scientist to provide bioinformatics support to ... Advanced proficiency in disciplines such as statistical modeling, machine learning, and integrative ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Vision

  • PTO

We integrate molecular virology, genomics, bioinformatics, machine learning, and translational HIV research to develop innovative sequencing technologies and computational tools for studying HIV drug ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Evaluate and implement new bioinformatics tools, statistical methods, and computational approaches ... Advancedproficiencyindisciplinessuch asstatistical modeling, machine learning, and integrative ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Vision

  • PTO

We integrate molecular virology, genomics, bioinformatics, machine learning, and translational HIV research to develop innovative sequencing technologies and computational tools for studying HIV drug ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Vision

  • PTO

We integrate molecular virology, genomics, bioinformatics, machine learning, and translational HIV research to develop innovative sequencing technologies and computational tools for studying HIV drug ...

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Internship JobsBioinformatics Machine Learning Internship Jobs in North Carolina

Bioinformatics Machine Learning Internship information

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a bioinformatics machine learning intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in North Carolina?

The most popular types of Bioinformatics Machine Learning jobs in North Carolina are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in North Carolina?

For Bioinformatics Machine Learning Internship jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in North Carolina look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in North Carolina are:

What cities in North Carolina are hiring for Bioinformatics Machine Learning Internship jobs?

Cities in North Carolina with the most Bioinformatics Machine Learning Internship job openings:

Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in North Carolina as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, 3% Temporary, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution.

Bioinformatics Scientist

Guidehouse

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 25 days ago

Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants

Job description

Job Family:
Research Scientists (SCI)
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
We are seeking a Bioinformatics Scientist to support institute research programs, with a focus on single-cell and spatial omics data analysis. This role requires expertise in statistical modeling, machine learning, and integrative analysis to generate insights from complex cellular systems. The position involves collaborating with investigators and multidisciplinary teams to develop analytical strategies, ensure data quality, interpret results, and translate findings into actionable conclusions. This is a full-time role in Research Triangle Park, NC.
  • Collaborate with scientists, biologists, statisticians, bioinformaticians, and interdisciplinary teams to design experiments, analyze and interpret data, develop models, and generate biological insights.
  • Conduct computational analyses and interpret large-scale genomic, multi-omic, single-cell, sequencing, and platform-derived data using appropriate computational and statistical methods.
  • Develop, optimize, maintain, and troubleshoot bioinformatics programs, scripts, algorithms, tools, pipelines, and computational infrastructure to organize, mine, integrate, and analyze large and complex data sets.
  • Prepare scientific reports, progress updates, tables, graphs, slides, publication-quality graphics, written summaries, and presentations based on analyses of scientific and experimental data.
  • Design and execute computational experiments; develop specifications for new analyses; design, test, implement, and recommend analytical solutions and computational tools.
  • Maintain laboratory notebooks, computer databases, detailed documentation, reproducible workflows, standard operating procedures, meeting notes, progress updates, and final reports to support transparent and repeatable analyses.
  • Devise, evaluate, and apply novel and existing statistical, bioinformatics, and data-processing methods to identify trends, patterns, and valid scientific conclusions.
  • Research and review literature to retrieve targeted clinical or scientific information, including novel statistical methods, from publicly available resources.
  • Review current and historical procedures for data acquisition, quality control, management, cleaning, and harmonization using descriptive statistics and analytical methods.
  • Train, onboard, instruct, and provide technical support to staff, students, investigators, laboratory personnel, and collaborators on computational analysis, bioinformatics tools, techniques, procedures, and project-specific data quality processes.
  • Interact with staff at all levels and communicate with outside collaborators in the U.S. and abroad.
  • Incumbent capture; no other candidates were considered because the incumbent candidate was identified and meets the labor category requirements provided by the customer.

What You Will Need:
  • Ph.D. in Bioinformatics, Biostatistics, Computational Biology, or related discipline
  • Minimum of SIX (6) years of experience in bioinformatics, computational biology, or a related scientific discipline.
  • Hands-on background with single-cell analysis methodologies, including scRNA-seq, scATAC-seq, and multi-omics approaches.
  • Demonstrated ability to analyze Next Generation Sequencing (NGS) datasets.
  • Proficiency with R and Python programming.
  • Working knowledge of Linux and Unix environments.
  • Skilled in statistical modeling, machine learning, and advanced data analysis techniques.
  • Ability to develop analytical pipelines and reproducible computational workflows.
  • Proven capability integrating and analyzing large-scale multi-omic datasets.
  • Strong record of presenting scientific results and producing technical reports and visualizations.
  • Familiarity with Seurat, Scanpy, Bioconductor, SAS, MATLAB, Java, Shell, PERL, and Bash.
  • Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

What Would Be Nice To Have:
  • Background in spatial transcriptomics data analysis.
  • Knowledge of cloud computing environments and high-performance computing (HPC) platforms.
  • Ability to work independently while collaborating effectively with multidisciplinary research teams.
  • Strong written and verbal communication skills.
  • Familiarity with genome-wide association studies (GWAS).
  • Knowledge of bulk RNA sequencing and microarray analyses.
  • Ability to develop custom algorithms and computational infrastructure for biological research.
  • Capable of training scientific staff on bioinformatics tools and methodologies.
  • Background supporting core facilities or large collaborative research programs.
  • Publication record demonstrating contributions to computational biology or bioinformatics research.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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