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Full Time Computer Science Bioinformatics Jobs in Arizona

AEG

Performance Science Analyst

Surprise, AZ · On-site

Bachelor's degree in sports analytics, statistics, computer science, or related disciplines (post ... This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO.

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ

$78K - $117K/yr

Candidates with a background in computer science and/or computer programming are strongly ... Full Time Hours/Pay Period 80 International Assignment No Site Description Just as our reputation ...

HCTec

IT Support Analyst II

Mesa, AZ · Hybrid

Bachelor's or Associate degree in Computer Science, Information Technology, or related field a plus. Employment Type: FULL_TIME

Boeing

MP&P Engineer 2nd shift (Composite)

Mesa, AZ · On-site

$89K - $118K/yr

... Computer Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * 1+ years of experience in engineering * Able to work full-time 2nd shift.

Boeing

MP&P Engineer 2nd shift (Composite)

Mesa, AZ · On-site

$89K - $118K/yr

... Computer Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * 1+ years of experience in engineering * Able to work full-time 2nd shift.

Boeing

MP&P Engineer 2nd shift (Composite)

Mesa, AZ · On-site

$89K - $118K/yr

... Computer Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * 1+ years of experience in engineering * Able to work full-time 2nd shift.

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All JobsFull Time Computer Science Bioinformatics JobsFull Time Computer Science Bioinformatics Jobs in Arizona

Full Time Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a Full Time Computer Science Bioinformatics professional, and why are they important?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a Full Time Computer Science Bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

What is the difference between Full Time Computer Science Bioinformatics vs Full Time Data Scientist?

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

What are full time computer science bioinformatics jobs?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.
What are the most commonly searched types of Computer Science Bioinformatics jobs in Arizona? The most popular types of Computer Science Bioinformatics jobs in Arizona are:
What cities in Arizona are hiring for Full Time Computer Science Bioinformatics jobs? Cities in Arizona with the most Full Time Computer Science Bioinformatics job openings:
Full Time Computer Science Bioinformatics jobs near you

Performance Science Analyst

Kansas City Royals

Surprise, AZ • On-site

Full-time

Retirement, PTO

Posted 7 days ago

Job description

Job Title: Performance Science Analyst
Job Summary:
Under the direction of the Director of Performance Science, the Performance Science Analyst will be accountable to meeting the data analysis, programming, and development needs of the Performance Science Department to enhance player health and performance outcomes. The successful candidate will be expected to be highly skilled in all aspects of the Royals' performance analysis and athlete monitoring systems, with the ability to assist at any stage of the data lifecycle process as needed. To be considered for the role, a cover letter and resume must be attached to your application.
Responsibilities and Duties
  • Design and manage robust procedures to safeguard the quality of performance data
  • Create and build upon current data visualizations and reporting structures to help coaches/staff to better leverage and integrate quantitative tools into player development
  • Work alongside the Performance Science Sr. Analyst and R&D members to optimize databasing and productionize data processing and reporting routines
  • Perform routine and ad hoc analyses on various physical, physiological, and biomechanical data streams to extract actionable insights for coaches, players, and staff
  • Understand and build upon legacy code with existing data processing and reporting procedures
  • Maintain meticulous documentation to detail progress, methods, and versioning
  • Assist with the evaluation and selection of novel performance science tools and systems

Qualifications
  • Bachelor's degree in sports analytics, statistics, computer science, or related disciplines (post-graduate degree strongly preferred)
  • Exceptional ability in data exploration, quality, treatment, and visualization
  • Experience with physical, physiological and/or biomechanical datasets in a sport environment
  • Knowledge and skills required to formulate and pursue impactful research questions regarding baseball performance and player health
  • Strong organizational skills, intellectual curiosity, stress tolerance, the ability to handle uncertainty, and adept at driving projects to completion

Preferred qualifications:
  • Advanced skills in data analytics and common computer programming languages and tools (R, SQL, Python, GitHub, etc.)
  • Knowledge and/or experience with biomechanical, physical activity, and/or physiological datasets
  • Familiarity with performance technology and baseball-specific tools preferred (force platforms, IMUs, Hawk-Eye, Kinetrax, Trackman, etc.)

Physical Requirements:
  • This position will be based out of Royals' Surprise Complex (Surprise, AZ) with minimal travel
  • Must be able to work in a seated position for extended periods of time
  • Must be able to be productive utilizing a computer keyboard and telephone
  • Must be able to be productive in a work environment where the noise level can be high at times
  • Specific vision abilities include close vision and ability to adjust focus
  • Must be comfortable walking to navigate the facility to access the office, concourse, etc.
  • Must be able to work extended hours and/or weekends/holidays as required by deadlines and event scheduling

The physical demands described here are representative of those that may be met by an employee to successfully perform the essential functions of this job.
This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO.
We also afford equal employment opportunities to qualified individuals with a disability. For this reason, the Kansas City Royals will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, the Club also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions please inquire with Human Resources by email at humanresources@royals.com.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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