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Weekday Machine Learning Research Scientist Jobs in Tennessee

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Research, evaluate, and select appropriate machine learning approaches and architectures based on ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Research, evaluate, and select appropriate machine learning approaches and architectures based on ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

Showing results 21-40

Weekday Machine Learning Research Scientist information

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What are the key skills and qualifications needed to thrive as a Weekday Machine Learning Research Scientist, and why are they important?

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Tennessee?

The most popular types of Machine Learning Research Scientist jobs in Tennessee are:

What cities in Tennessee are hiring for Weekday Machine Learning Research Scientist jobs?

Cities in Tennessee with the most Weekday Machine Learning Research Scientist job openings:

Senior Bioinformatics Research Scientist

Memphis, TN • On-site

St. Jude Children's Research Hospital
Health Care and Social Assistance • 1 - 5K employees

Other

This job post has expired today. Applications are no longer accepted.


St. Jude Children's Research Hospital rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Senior Bioinformatics Research Scientist

Location

Memphis, TN

Category

Computational Sciences

Department

Pharmacy & Pharmaceutical Sciences

Shift

Weekday Day

Position Type

Full Time

Scheduled Weekly Hours

40

JR5526

Job Description

St. Jude is seeking aSenior Bioinformatics Research Scientist for data science projects within the Center for Pharmacogenomics in the Department of Pharmacy and Pharmaceutical Sciences. In particular, this individual will focus on electronic health record (EHR)-driven phenotyping to support pharmacogenomics discovery research.The successful candidate will be responsible for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves working with large external biobank datasets such as All of US, eMERGE, TopMed, UK BioBank, as well internal EHR data.This Bioinformatics Research Scientist will collaborate extensively with disease and/or drug experts (clinicians, clinician scientists, data scientists, and laboratory investigators) to co-develop phenotyping algorithms but is expected to serve as the domain expert in high-throughput phenotyping.Demonstrated expertise in EHR-based phenotype extraction and curation are strongly preferred.Responsibilitieso Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data.o Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion.o Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions.o Assist in the evaluation and testing of new methods and technologies.o Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so.o Participate in the department's developmental projects and interdepartmental team projects.Qualificationso Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work experience in relevant area (e.g., bioinformatics, cheminformatics, statistics/computer science with a background in biological sciences or chemistry) (OR) Master's degree with 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.o Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred.As one of the premier pediatric research institutions in the world, St. Jude Children’s Research Hospital provides exceptional resources and a supportive environment for career development. In this position, the candidate will interact with leaders in pharmacogenomics and data science in general within and outside the institution and at national/international meetings. Innovation and independence are encouraged with the goal of providing flexibility and freedom in exploring new directions.

Job Responsibilities:

  • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data.
  • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion.
  • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions.
  • Assist in the evaluation and testing of new methods and technologies.
  • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so.
  • Participate in the department's developmental projects and interdepartmental team projects.
  • Perform other duties as assigned to meet the goals and objectives of the department and institution.
  • Maintains regular and predictable attendance.
  • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data.
  • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion.
  • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions.
  • Assist in the evaluation and testing of new methods and technologies.
  • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so.
  • Participate in the department's developmental projects and interdepartmental team projects.

Minimum Education and/or Training:

  • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field.
  • Master's degree or PhD preferred.

Minimum Experience:

  • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry).
  • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience.
  • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred.

Compensation

In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist.

Explore our exceptional benefits !

St. Jude is an Equal Opportunity Employer

No Search Firms

St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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