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Ai Lab Jobs in Minnesota (NOW HIRING)

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists. * Prepare reports ...

Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists. * Prepare reports ...

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists. * Prepare reports ...

Work in a lab environment integrating state of art quantum computer control hardware * Leverage ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Together, we help operators stay ahead of evolving AI applications and increasing demands. General ... Submit lab requests, schedule testing resources and provide technical support and work direction to ...

Product Test Engineer

Shakopee, MN · On-site

$76K - $95K/yr

Together, we help operators stay ahead of evolving AI applications and increasing demands. General ... Submit lab requests, schedule testing resources and provide technical support and work direction to ...

Handle general lab operations: ordering, inventory, reagent qualification, equipment logs, and ... A chance to build your early career at the cutting edge of AI-native molecular and nanophotonic ...

Showing results 41-60

Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

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

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What cities in Minnesota are hiring for Ai Lab jobs?

Cities in Minnesota with the most Ai Lab job openings:

Infographic showing various Ai Lab job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Bioinformatics Scientist

Linn Products, Inc

Minneapolis, MN • On-site

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will focus on complex experimental and clinical bioinformatics data sets.
Responsibilities:
  • Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas.
  • Effectively communicate results in R&D and corporate meetings, prepare abstracts/manuscripts for publications and conferences.
  • Communicate with external stakeholders and vendors to recommend data capture technologies and pre-clinical experimental models best aligned with bioinformatics and wet-lab research objectives.
  • Implement and validate newly identified bioinformatics analytical advances using bioinformatics practices for reproducible and modular analysis (markdown documentation, r/v env locks, git, nextflow, snakemake, dockers, conda).
  • Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ML/AI integration to achieve efficient end-to-end analysis, scale-up, and predictive models.
  • Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists.
  • Prepare reports, presentations, abstracts, and manuscripts as required, following established standards for documentation, reproducibility of code and data integrity.

Qualifications:
  • A Ph. D or equivalent experience in biology, chemistry or bioinformatics with strong skills in the analysis of -Omics datasets (bulk/single-cell/spatial transcriptomics, WES, epigenomics, metabolomics and/or proteomics) in preclinical and clinical disease models.
  • Experience using Machine Learning/Artificial Intelligence tools in the context of -Omics, single cell Atlases, clinical disease modeling and/or drug development pipelines.
  • Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments. Experience with developing user-facing tools for data visualization and reporting (Shiny, Plotly, Quarto, etc) would be desirable.
  • Strong understanding of cell biology especially with respect to basic biochemistry, cell signaling, cell replication, transcription, translation processes.

About Us:
Celcuity is a commercial biotechnology company pursuing development of targeted therapies for treatment of multiple solid tumor indications. The company's first FDA-approved product is REVTORPYK (gedatolisib), a potent, pan-PI3K and mTORC1/2 inhibitor that comprehensively blockades the PAM pathway. REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on prior endocrine therapy in the metastatic setting.
The Phase 3 VIKTORIA-2 trial is evaluating gedatolisib in combination with palbociclib and either fulvestrant or letrozole for the first-line treatment of HR+/HER2- locally advanced or metastatic breast cancer. A Phase 1/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is ongoing.
Celcuity is an Equal-Opportunity Employer.
Celcuity is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are competitive. For this role, the anticipated base pay range is $110,000 - $120,000 DOE. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate's geography, qualifications, skills, and experience.
The successful candidate will be eligible for an annual performance incentive bonus and a new hire equity package. Celcuity also offers various benefits offerings, including, but not limited to, medical, dental, vision insurance, 401(k) match, PTO, and paid holidays.
Notice to Recruiters/Staffing Agencies
Recruiters and staffing agencies should not contact Celcuity through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees directly.
We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file. Celcuity's receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Celcuity and such organization and will be considered unsolicited. Celcuity will not be responsible for related fees.