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Weekend Machine Learning Postdoc Jobs in Arizona

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

... machine learning, and analysis of structural and functional neuroimaging data. If you are ... one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. About Us Why Mayo Clinic Mayo ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

$67K - $78K/yr

... machine learning, and analysis of structural and functional neuroimaging data. If you are ... one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Exemption Status Exempt ...

Dynalectric Company

Machine Operator

Mesa, AZ · On-site

$16.25 - $19.50/hr

Learning and Development * Cross-train on multiple machines and fabrication processes ... Overtime, including evenings or weekends, may be required to meet production deadlines. Some travel ...

Dynalectric Company

Machine Operator

Mesa, AZ

$16.25 - $19.50/hr

Learning and Development * Crosstrain on multiple machines and fabrication processes. * Demonstrate ... Overtime, including evenings or weekends, may be required to meet production deadlines. Some travel ...

Epiq

Advanced Technologies Consultant

Phoenix, AZ

$110K - $135K/yr

This role requires the ability to manage multiple projects concurrently; evening and weekend work ... Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an e ...

TSMC

Manufacturing and AMHS Managers

Phoenix, AZ · On-site

Understanding of machine learning/deep learning * Strong knowledge of Statistical Process Control ... Weekend on-duty and phone availability during off-work hours Please Note: Applicants must be ...

TSMC

Manufacturing and AMHS Managers

Phoenix, AZ

Understanding of machine learning/deep learning * Strong knowledge of Statistical Process Control ... Weekend on-duty and phone availability during off-work hours Please Note: Applicants must be ...

Masterbilt, Inc

CNC Machinist Mill

Phoenix, AZ · On-site

$21.75 - $29/hr

... continuous learning. · Perform other duties, responsibilities, and activities as assigned ... weekends, depending on the needs of the position and the organization. Other: Please note this is ...

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Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Arizona? For Weekend Machine Learning Postdoc jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Arizona look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Arizona are:
What cities in Arizona are hiring for Weekend Machine Learning Postdoc jobs? Cities in Arizona with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you

Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)

University of Arizona

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 29 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

383rd of 614 rated colleges and universities

Job description

Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)
Posting Number
req24842
Department
COM Phx Trans Cardio Rsrch Ctr
Department Website Link
College of Medicine-Phoenix
Location
Greater Phoenix Area
Address
475 N. 5th St., Phoenix, AZ 85004 USA
Position Highlights
The University of Arizona College of Medicine - Phoenix (COM-P) is seeking a highly motivated candidate for the full-time position of Postdoctoral Research Associate in Dr. Tobias Jakobi's laboratory. Our lab is focused on understanding the interplay of different RNA species and underlying functional networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches.
The ideal candidate should have a strong background in algorithm development, transcriptomics, sequencing data processing, and/or applied machine learning. Theindividual will develop novel algorithms to analyze large and complex biomedical data sets and contribute towards research and research-related service in translational cardiovascular research. The Postdoctoral candidate will benefit from the interaction with a dynamic and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix.
The University of Arizona College of Medicine - Phoenix anchors the 28-acre Phoenix Bioscience Core in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The Phoenix Biomedical Campus embodies the University's priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix.
Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Develop and maintain detailed records of experiments, analyzing and writing findings.
  • Assist with preparation of grants and manuscripts.
  • Present manuscripts, oral presentations, posters, and research findings at national and international conferences.
  • Plans, coordinates, and conducts scientific research requiring judgment in the independent evaluation, selection, and substantial adaptation and modification of standard scientific techniques. Serves as principal investigator, as appropriate, on sub-projects of complexities consistent with the above criteria.
  • Generate new ideas and projects for development.
  • Designs, performs, and/or oversees experiments and data collection to ensure data integrity, quality control, and protocol
    compliance.
  • Collects, analyzes, and interprets data. Prepares statistical and narrative reports and/or graphs as appropriate to the specific position. Prepares manuscripts for publication. Presents research results to scientific conferences and other groups.
  • Share supervisory responsibility for research technical staff including graduate and undergraduate students.
  • Attend regular group meetings; manage, maintain, and order laboratory equipment and supplies; and respond to administrative requests and procedures.

Knowledge, Skills & Abilities:
  • Strong computational skills in programming languages (e.g., Python, R, Perl) and software tools for bioinformatics analysis.
  • Excellent communication skills (both written and verbal) for presenting research findings and writing grants.
  • Proficiency with bioinformatics databases (e.g., Ensembl, NCBI, UniProt) and tools (e.g., BLAST, Bowtie, SAMtools).
  • Knowledge of statistical methods and machine learning techniques for biological data analysis.
  • Strong problem-solving skills with attention to detail and data integrity.

Minimum Qualifications
  • PhD in biomedical science, molecular biology or vascular biology, biochemistry, physiology or
    related field is required.

Preferred Qualifications
  • Experience in molecular biology.
  • Experience with large-scale data analysis (e.g., next-generation sequencing, proteomics, transcriptomics, metabolomics).
  • Proven track record of scientific publications in peer-reviewed journals.
  • Collaboration experience with experimental biologists and interdisciplinary teams.
  • Experience with high-performance computing environments (e.g., Linux, cloud computing, cluster management).

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines, Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
College of Medicine-Phoenix, Office of Human Resources
Talent@arizona.edu
Open Date
1/5/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.
Letter of Interest: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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