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Bioinformatics In Jobs in Arizona (NOW HIRING)

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Showing results 41-60

Bioinformatics In information

What is the difference between Bioinformatics In vs Bioinformatics Analyst?

AspectBioinformatics InBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare, biotech companies
Employer & Industry UsageUsed in research, development, and clinical settingsFocuses on data analysis, interpretation, and reporting

Bioinformatics In and Bioinformatics Analyst roles share similar educational backgrounds and work environments. However, Bioinformatics In often involves more research and development tasks, while Bioinformatics Analysts primarily focus on analyzing and interpreting biological data to support research and clinical decisions.

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

University of Arizona

Phoenix, AZ • On-site

Full-time

Re-posted 5 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 616 rated colleges and universities


Job description

  • 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.

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