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Bioinformatics Machine Learning Internship Jobs in Sioux Falls, SD

Associate AWS DevOps Engineer

Sioux Falls, SD · On-site

$52.50 - $72/hr

Internships, cooperative education, military technical experience, and comparable applied ... AWS Certified Machine Learning Engineer - Associate The AWS Certified Cloud Practitioner ...

Associate AWS DevOps Engineer

Sioux Falls, SD · On-site

$52.50 - $72/hr

Internships, cooperative education, military technical experience, and comparable applied ... AWS Certified Machine Learning Engineer - Associate The AWS Certified Cloud Practitioner ...

... or machines. • Perform or facilitate installation/testing related to the product, system, or ... Minimum of an internship in related field is preferred. Knowledge, Skills, and Abilities: • ...

... or machines. • Perform or facilitate installation/testing related to the product, system, or ... Minimum of an internship in related field is preferred. Knowledge, Skills, and Abilities: • ...

Showing results 21-26

Bioinformatics Machine Learning Internship information

See Sioux Falls, SD salary details

$25.4K

$42.4K

$87.5K

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

As of Sep 4, 2026, the average yearly pay for bioinformatics machine learning internship in Sioux Falls, SD is $42,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,800.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Bioinformatics Machine Learning Internship jobs in Sioux Falls, SD?

For Bioinformatics Machine Learning Internship jobs in Sioux Falls, SD, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Sioux Falls, SD look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Sioux Falls, SD are:

Cybersecurity Threat Analyst I (Hybrid)

Bancorp Bank, The

Sioux Falls, SD • Hybrid

Full-time

Posted 7 days ago


Job description

Position Summary

Work Arrangement:

***This position is available as a hybrid position in our Sioux Falls, SD or Wilmington, DE office.***

At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.

Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.

The Cybersecurity Threat Analyst I role is responsible for monitoring security alerts, logs, and threat intelligence under general supervision to identify suspicious activity. Performs initial triage using established procedures, documents findings, creates or updates tickets, and escalates events requiring deeper investigation or response.

Supports routine vulnerability management, asset review, investigation, reporting, and security awareness activities. Uses approved artificial intelligence (AI) tools for research, query development, evidence summarization, and documentation while validating outputs, following data-handling requirements, and protecting confidential information.

Key Responsibilities
  • Monitors security alerts from approved tools and performs initial triage using documented procedures and playbooks.
  • Reviews relevant firewall, email, web, domain name system (DNS), endpoint, and other logs to gather evidence and identify indicators of suspicious activity.
  • Creates and updates tickets, documents actions taken, and escalates incidents based on defined severity and escalation criteria.
  • Supports incident response activities under guidance, including evidence collection, basic scoping, containment tracking, and follow-up documentation.
  • Reviews threat intelligence alerts and indicators of compromise for relevance to the environment and escalates significant findings.
  • Runs approved vulnerability scans and reviews results to identify potential issues, duplicates, and items requiring validation.
  • Collects and reviews asset information, including configurations and running processes, to support investigations and vulnerability management.
  • Operates security monitoring tools and performs routine configuration or tuning tasks under guidance.
  • Participates in change management activities and follows established security operations procedures.
  • Communicates technical findings clearly to cybersecurity team members, internal partners, and vendors.
  • Assists with security product evaluations and recommends improvements based on documented requirements.
  • Supports security metrics, trend reporting, and assigned security awareness activities.
  • Uses approved AI-assisted capabilities to enrich alerts, correlate indicators, summarize evidence, and support basic investigation tasks.
  • Uses approved AI assistance to draft basic queries, investigation notes, reports, scripts, and stakeholder communications.
  • Validates AI-generated content against authoritative sources and follows approved-use, data-handling, human-review, documentation, and auditability requirements.
  • Maintains awareness of emerging threats, including AI-enabled phishing, social engineering, and enterprise AI misuse, and escalates relevant findings.
  • Performs other duties as assigned.
Qualification Requirements
  • Associate or bachelor's degree in cybersecurity, information technology, computer science, or a related field, or an equivalent combination of education, training, and experience.
  • Internships, academic labs, help desk, system administration, network support, or security operations experience may qualify as relevant experience.
  • Foundational understanding of cybersecurity principles, common threats, Transmission Control Protocol/Internet Protocol (TCP/IP) networking, and Windows, Linux, or macOS operating systems.
  • Basic familiarity with security logs, monitoring tools, vulnerability management concepts, and ticketing workflows.
  • Ability to follow documented procedures, maintain accurate records, recognize when additional assistance is needed, and escalate promptly.
  • Basic scripting, command-line, or query skills, or a demonstrated willingness to learn tools such as Python, PowerShell, or SQL.
  • Familiarity with generative AI and machine learning concepts used in cybersecurity, including common capabilities, limitations, privacy risks, and the need for human validation.
  • Clear written and verbal communication, sound organization, and the ability to work effectively in a collaborative environment.
  • Coursework, an internship, a lab environment, or hands-on experience related to security operations, threat analysis, incident response, or vulnerability management preferred.
  • Familiarity with one or more security technologies, such as security information and event management (SIEM), endpoint or extended detection and response (EDR/XDR), security orchestration, automation, and response (SOAR), threat intelligence, vulnerability scanning, or ticketing platforms preferred.
  • Basic knowledge of network traffic, firewalls, intrusion detection or prevention, packet analysis, cloud services, databases, or data visualization tools preferred.
  • An entry-level certification, such as CompTIA Security+, Network+, CySA+, Microsoft SC-900, or a comparable vendor credential, or a willingness to pursue one preferred.
  • Basic experience with scripting, application programming interfaces (APIs), or low-code automation to collect, organize, or validate security data preferred.
  • Familiarity with approved AI-assisted workflows for security research, documentation, query development, or analysis preferred.
  • Awareness of AI-specific security risks and safeguards, including prompt injection, sensitive-data leakage, malicious automation, and AI-generated social engineering preferred.

What Success Looks Like

  • Within the first 90 days, works the alert queue independently using established playbooks.
  • Documents investigations clearly enough that a senior analyst can pick up the case without a conversation.
  • Escalates at the right threshold, neither sitting on something urgent nor passing up work the analyst is equipped to handle.
  • By the end of the first year, has progressed meaningfully toward a foundational security certification.
  • Navigates the SIEM and endpoint tooling without supervision.
  • Contributes to tuning suggestions and threat hunting work rather than only consuming assignments.
  • Treats AI-assisted output as a draft rather than an answer, and consistently validates results against primary evidence before acting.

Why This Role Matters

  • This position is the program's intake layer.
  • Alerts, threat intelligence feeds, scan output, and asset discovery data all land here first, and anything missed or under-documented at this stage does not get caught somewhere else.
  • This position protects senior capacity.
  • Detection engineering, forensics, and threat hunting require uninterrupted focus, which is impossible while working a live queue.
  • Level 1 ownership of steady-state triage is what lets senior analysts go deep, and it is why routine monitoring and ticket flow keep running when responders pull away to an active incident.
  • This position closes the feedback loop.
  • No one sees false positives more often than the analyst in the queue daily, and those observations are the raw input for tool tuning.
  • The same applies to the vulnerability and asset data reviewed here, which keeps the program's picture of its own environment accurate.
  • This position creates the record.
  • Good case documentation makes work transferable across shifts and up to incident response, while thin documentation means the work gets redone.
  • This position is where AI governance actually happens.
  • Approved-use and human-review requirements are policy on paper until someone applies them at the point of use, and the highest-volume routine AI usage in the department sits in this seat.
  • This position is the program's bench, developing future senior analysts on the Bank's own tooling and escalation thresholds.
Additional Information

This job will be open and accepting applications for a minimum of five days from the date it was posted.

Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/

Company Culture & Background Screening

Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/

The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.

Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.

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Employment Type: FULL_TIME