ZipRecruiter

Log In

1

Freelance Bioinformatics Machine Learning Jobs in Arizona

CommonSpirit Health

Research Scientist I

Phoenix, AZ · On-site

Our lab employs cutting-edge bioinformatics and machine learning, including deep learning, to understand brain aging and secondary injury mechanisms across cerebrovascular, neurodegenerative, and ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

Apply supervised and unsupervised machine learning algorithms (e.g., logistic regression, random ... Drug Repurposing Research and Bioinformatics Analysis: * Collaborating in computational drug ...

All JobsBioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning Jobs in Arizona

Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Arizona? The most popular types of Bioinformatics Machine Learning jobs in Arizona are:
What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Arizona? For Freelance Bioinformatics Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Arizona look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Arizona with the most Freelance Bioinformatics Machine Learning job openings:
Freelance Bioinformatics Machine Learning jobs near you

Research Scientist I

CommonSpirit Health

Phoenix, AZ • On-site

Full-time

Re-posted 17 days ago

CommonSpirit Health rating

7.0

Company rating: 7.0 out of 10

Based on 530 frontline employees who took The Breakroom Quiz

412th of 887 rated healthcare providers

Job description

Hello humankindness: Join a Legacy of Healing at Saint Joseph’s Hospital and Medical Center (SJHMC) 

Ready to make a real difference? Join SJHMC in Phoenix AZ., a 571-bed nonprofit founded by the Sisters of Mercy over 125 years ago. We're more than a hospital; we're a global destination for life-changing care, embracing patients with humankindness.

Here, your calling will flourish. We're not just a workplace; we're a community dedicated to a mission of service.

Leaders in Specialized Care:

  • Barrow Neurological Institute (BNI): A world-renowned center for groundbreaking neurological research and innovative treatments.
  • Norton Thoracic Institute (NTI): A national leader in advanced thoracic care with pioneering surgical techniques.
  • Level I Trauma Center: One of Arizona's busiest ERs, providing immediate, comprehensive care for critically injured patients 24/7.

Why SJHMC?

  • Culture of Excellence & Well-being: We care for our people, fostering professional and personal growth.
  • Community & Collaboration: Be part of a network committed to global health and well-being.
  • Join a Legacy, Shape a Future: Over 20% of our patients travel internationally for our specialized care.

This is an invitation to join a family of dedicated professionals at the forefront of medical innovation, united by the power of humankindness.


As our Research Scientist, you will leverage your deep scientific knowledge to support and facilitate the organization's research programs and projects. You are expected to apply various scientific principles to drive innovation.
Every day you will design and execute rigorous laboratory research, contributing to ongoing studies through meticulous analysis. You will also actively support manuscript preparation and participate in grant writing.
To be successful in this role, you will possess proven scientific expertise, a strong track record in experimental execution and analysis. Your ability to plan research, contribute to publications, and assist in securing funding will be paramount.

The Multimodal Imaging Genetics Lab at Barrow Neuro Analytics Center is in search of a talented and motivated computational biologist to join our dynamic team. Our lab employs cutting-edge bioinformatics and machine learning, including deep learning, to understand brain aging and secondary injury mechanisms across cerebrovascular, neurodegenerative, and traumatic brain diseases. As a Bioinformatics Staff Scientist, you will be responsible for conducting and supervising analysis of large- scale, high-dimensional biological data from biobanks and longitudinal cohorts, and developing innovative computational methods to enhance understanding of cerebrovascular and Alzheimer’s disease interactions, and drive development of mechanism-based treatments for dementia. We seek a self-driven, innovative individual with strong analytical and problem-solving abilities, and exceptional communication skills.

Responsibilities:

  • Responsible for operational oversight and implementation of funded translational research program(s) in genomics
  • Plans and executes bioinformatics analysis on high-throughput genomics (including single cell) and proteomics data, integration and analysis of multi-omics data
  • Participates in the development and application of computational algorithms and statistical models for data analysis and interpretation, and development of data analysis pipelines.
  • Develops and establishes data analysis pipelines
  • Serves as a liaison for the training of technical personnel in the translational program including post-doctoral fellows, graduate and undergraduate students

Required

  • Ph.D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field
  • Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics
  • Strong understanding of complex disease genetics and population structure
  • Prior work in complex disease genetics research, including analysis of large cohorts or biobank-scale datasets

Preferred

  • Experience with pathway analysis, polygenic risk scores, or Mendelian randomization is a plus
  • Publication record in peer-reviewed journals related to human genetics or genomics
  • Proficiency in programming with R, Unix/Linux, and/or Python
  • Experience with genetic analysis tools (e.g., PLINK, GCTA, METAL)
  • Experience with high-performance computing environments
  • Working knowledge of machine learning (AI/ML) algorithms and their applications in bioinformatics

What CommonSpirit Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply