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Bioinformatics Machine Learning Internship information

See Madison, WI salary details

$25.7K

$42.9K

$88.7K

How much do bioinformatics machine learning internship jobs pay per year?

As of May 29, 2026, the average yearly pay for bioinformatics machine learning internship in Madison, WI is $42,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,400.00 per year, depending on experience, location, and employer.

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 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 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 Madison, WI? The most popular types of Bioinformatics Machine Learning jobs in Madison, WI are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Madison, WI? For Bioinformatics Machine Learning Internship jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Madison, WI look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Madison, WI are:
Bioinformatics Machine Learning Internship jobs near you
Associate Actuarial Analyst - Predictive Modeling (Hybrid)

Associate Actuarial Analyst - Predictive Modeling (Hybrid)

American Family Mutual Insurance Company Si

Madison, WI • Hybrid

$62K - $103K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

American Family Insurance rating

7.6

Company rating: 7.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

183rd of 259 rated insurance

Job description

We're seeking an Associate Actuarial Analyst to join our Property & Casualty Actuarial team to develop analytics and predictive modeling solutions that inform business decisions. You'll partner with actuarial and data/analytics colleagues to explore data, perform actuarial analyses, and help build and refine statistical and machine learning models supporting pricing, reserving, and other objectives. You'll expand your Python-based analytics skills and strengthen your ability to translate results into clear business insights.
#LI-Hybrid
Role NOT eligible for sponsorship.

Position Compensation Range:

$62,000.00 - $103,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

  • Support pricing, reserving, and product analytics projects under guidance of senior actuaries/modelers.
  • Extract, validate, and prepare internal data; perform QA and document assumptions/limitations.
  • Conduct exploratory analyses to identify trends, relationships, and insights.
  • Assist with predictive modeling (GLM/GBM): feature development, testing, refinement, and performance monitoring.
  • Build repeatable workflows for data prep, modeling, and validation using Python and/or actuarial tools.
  • Create documentation and summary deliverables to support governance and knowledge sharing.
  • Communicate findings clearly to business partners; escalate risks/questions as needed.
  • Apply industry best practices and internal modeling standards.
  • Contribute to additional projects based on business needs and development goals.

Specialized Knowledge & Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support, or service.
  • Basic knowledge and understanding of property and casualty products, pricing, rates and industry trends.
  • Basic knowledge and understanding of underwriting guidelines and concepts, pricing, ratemaking, loss reserving, modeling or reinsurance depending upon area of specialty.
  • Demonstrated experience performing statistical/actuarial analysis and data forecasting and modeling techniques.
  • Basic knowledge and understanding of forecasting and statistical analysis and modeling.
  • Pursuing Associate or Fellow in Casualty Actuary Society (ACAS or FCAS).

Preferred Qualifications:

  • Working knowledge of Python (preferred) or another programming language.
  • Familiarity with common data tools (e.g., SQL, spreadsheets, database tools) and the ability to learn internal systems quickly.
  • Ability to communicate technical findings to non-technical audiences with guidance and feedback.

Licenses

  • Not applicable.

Travel Requirements

  • Up to 10%.

Physical Requirements

  • Work that primarily involves sitting/standing.

Working Conditions

  • Not applicable.
Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

In this hybrid role you will be expected to work a minimum of 10 days per month out of either our Madison, WI or Boston, MA offices.

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

#LI-AB1

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