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Manager Biomedical Data Scientist Jobs in Utah (NOW HIRING)

Jobtailor

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

Work closely with data engineers and product managers to turn data analysis into actionable algorithms * Champion a data-driven culture and develop data science capabilities * Create standards and ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Patientco

Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Crew Career Center

Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

MasterCard

Data Scientist I

Holladay, UT

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

MasterCard

Senior Data Scientist

Holladay, UT

Title and Summary Senior Data Scientist Who is Mastercard? As a global technology company our ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Gehc

Service Data Scientist

Salt Lake City, UT

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Demonstrated awareness of data management methods Demonstrated awareness of real-time analytics ...

BYU Pathway

IT Data Scientist

Bluffdale, UT · On-site

$140 - $190/hr

... managers to turn data analysis into actionable algorithms Champion a data-driven culture and help develop best-in-class data science capabilities Create standards and procedures for data science ...

New

Crew Career Center

Senior Data Scientist

Lehi, UT

... business managers. Incumbents whose primary role is technical and focused on data storage ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

... business managers. Incumbents whose primary role is technical and focused on data storage ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

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All JobsBiomedical Data Scientist JobsManager Biomedical Data Scientist JobsManager Biomedical Data Scientist Jobs in Utah

Manager Biomedical Data Scientist information

What is a manager biomedical data scientist?

Manager Biomedical Data Scientists are professionals who oversee teams of data scientists and analysts working with biomedical data. They are responsible for directing research projects, managing data workflows, and ensuring the integrity and security of sensitive health information. In addition, they collaborate with clinicians, researchers, and IT professionals to develop data-driven solutions that improve healthcare outcomes. Their role combines technical expertise in data science and bioinformatics with leadership and project management skills.

How does a manager biomedical data scientist typically collaborate with cross-functional teams in a healthcare or research setting?

A Manager Biomedical Data Scientist works closely with a variety of professionals, including clinicians, laboratory scientists, software engineers, and regulatory specialists. Their role often involves translating complex biomedical data into actionable insights for both technical and non-technical stakeholders. They lead data science teams, coordinate project timelines, and ensure that data-driven solutions align with organizational goals. Effective communication and the ability to bridge gaps between research and practical application are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a manager biomedical data scientist, and why are they important?

To thrive as a Manager Biomedical Data Scientist, you need advanced knowledge of biostatistics, machine learning, data analysis, and a graduate degree in a relevant field such as bioinformatics or computational biology. Expertise in tools like Python, R, SQL, and platforms such as cloud computing, as well as experience with regulatory standards and data privacy, is typically required. Strong leadership, project management, and communication skills help drive team performance and facilitate collaboration across interdisciplinary groups. These skills ensure the effective translation of complex biomedical data into actionable insights that enhance research and clinical outcomes.

What is the difference between Manager Biomedical Data Scientist vs Biomedical Data Scientist?

AspectManager Biomedical Data ScientistBiomedical Data Scientist
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related field; experience in team leadershipMaster's or PhD in Bioinformatics, Data Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, develops models, supports research teams
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare organizationsResearch institutions, biotech companies, healthcare providers

The main difference is that a Manager Biomedical Data Scientist oversees teams and projects, while a Biomedical Data Scientist primarily focuses on data analysis and model development. The managerial role involves leadership responsibilities, whereas the data scientist role emphasizes technical expertise.

What are the most commonly searched types of Biomedical Data Scientist jobs in Utah?

The most popular types of Biomedical Data Scientist jobs in Utah are:

What cities in Utah are hiring for Manager Biomedical Data Scientist jobs?

Cities in Utah with the most Manager Biomedical Data Scientist job openings:

Manager Biomedical Data Scientist jobs near you

Data Scientist

Riverton, UT • On-site

Jobtailor
See more jobs at Jobtailorexternal

$140 - $210/hr

Other

Posted 8 days ago

Job description

  • Execute large-scale models using advanced analytical, modeling, and machine learning techniques
  • Create and support a cloud-based data science solution as part of the data intelligence team
  • Create scalable, efficient, automated processes for data analysis and machine learning models
  • Work closely with data engineers and product managers to turn data analysis into actionable algorithms
  • Champion a data-driven culture and develop data science capabilities
  • Create standards and procedures for data science teams
  • Provide direction for strategic plans and product roadmaps
  • Inform requirements related to creating, tracking, collecting, and accessing data
  • Analyze and protect data, including troubleshooting
  • Follow data science best practices
  • Fulfill the technical lead role for data science solutions
  • Respond to escalated incidents and engage vendors as necessary
  • Conduct research and evaluate emerging trends
  • Aid and mentor teammates
Requirements
  • Master's degree required
  • 12 years of relevant professional experience, including eight years supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms, including Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, and NLP
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and Keras
  • Significant experience with data mining and statistical analysis
  • Experience leading exploratory analysis with large datasets
  • Ability to lead knowledge discovery and machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert coding ability in an advanced coding language such as Python
  • Senior-level understanding of statistics and mathematics
  • Ability to work with large, complex datasets using SQL or Python
  • Quantitative aptitude and ability to gather and interpret data
  • Comprehensive knowledge of multiple fields of specialization
  • Expertise in automation and deployment
  • Experience in a structured, enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional written and verbal communication, including explaining complex concepts to non-technical audiences
  • Ability to mentor and train peers
  • Strong understanding of supported business processes
  • Troubleshooting ability under pressure and ability to resolve complex problems
  • Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
  • PhD degree preferred
  • Ability to meet physical requirements such as sitting for long periods and using computer monitors/equipment
Core Competencies

Demonstrates expertise in machine learning algorithms and advanced analytical techniques, with a strong ability to lead data science initiatives and mentor teams. Proficient in creating scalable data solutions and automating processes while ensuring adherence to best practices in data science.

Highest-signal resume keywords
  • Machine Learning Algorithms
  • Expert Knowledge of Scikit-learn
  • Advanced Coding in Python
  • Data Wrangling and Transformation
  • Statistical Analysis
ATS Optimization Keywords Hard Skills
  • Machine Learning Algorithms
  • Data Mining
  • Statistical Analysis
  • Data Wrangling
  • Data Transformation
  • Automation and Deployment
  • SQL
  • Deep Learning
  • Natural Language Processing
  • Quantitative Aptitude
Soft Skills
  • Exceptional Communication
  • Mentoring Ability
  • Troubleshooting Under Pressure
Certifications & Qualifications
  • Master's Degree
  • PhD Degree Preferred
Industry Keywords
  • Data Science Best Practices
  • Data-driven Culture
  • Product Development Activities
  • Enterprise-scale Operational Environment
Tools & Technologies
  • TensorFlow
  • Keras
  • Cloud-based Data Solutions
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