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Trainee Bioinformatics Software Engineer Jobs in Missouri

Illumina

Senior Software Engineer in Test

California, MO · On-site

$98K - $128K/yr

Bachelor's degree or higher in Computer Science, Engineering, Bioinformatics, or a related field (or equivalent experience) * 5+ years of professional experience developing production-ready software ...

Washington University of St. Louis

$41K - $75K/yr

Implements algorithms and computer software for analyzing omics-based data sets (high-throughput ... Programming Grade R09 Salary Range $41,700.00 - $75,600.00 / Annually The salary range reflects ...

Washington University of St. Louis

$41K - $75K/yr

Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively ... Programming Language) Grade R09 Salary Range $41,700.00 - $75,600.00 / Annually The salary range ...

Washington University of St. Louis

Mentor graduate students and other laboratory trainees while contributing to a collaborative ... Biochemistry, Biomedical Engineering, Pharmaceutical Sciences, Immunology, Bioinformatics ...

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Trainee Bioinformatics Software Engineer information

What is a trainee bioinformatics software engineer?

A Trainee Bioinformatics Software Engineer is an entry-level professional who assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They typically work under the supervision of experienced bioinformaticians and software engineers, learning to write code, manage databases, and process complex scientific datasets. The role often requires a mix of programming skills and a basic understanding of biology, allowing trainees to bridge the gap between computational and life sciences. As they gain experience, they contribute more significantly to research projects and the development of new bioinformatics applications.

What are the key skills and qualifications needed to thrive as a trainee bioinformatics software engineer?

To thrive as a Trainee Bioinformatics Software Engineer, you need a strong background in biology, computer science, or a related field, with foundational programming skills in languages like Python or R. Familiarity with bioinformatics tools, databases, and version control systems such as Git is typically required, and coursework or certifications in bioinformatics are advantageous. Analytical thinking, attention to detail, and effective communication are valuable soft skills for collaborating with interdisciplinary teams and interpreting complex data. These competencies enable you to efficiently develop software solutions and contribute to meaningful biological research.

What are some common challenges faced by trainee bioinformatics software engineers when transitioning from academic projects to industry roles?

Trainee Bioinformatics Software Engineers often find the shift from academic to industry settings challenging due to differences in project scope, timelines, and collaborative expectations. In industry, there is a greater emphasis on writing maintainable, well-documented code and following software development best practices, such as version control and code reviews. Additionally, trainees must quickly adapt to working in cross-functional teams that include biologists, data scientists, and senior engineers, requiring strong communication and teamwork skills. Managing competing priorities and meeting strict deadlines can also be a new experience compared to the typically flexible timelines of academic research.

What is the difference between Trainee Bioinformatics Software Engineer vs Junior Bioinformatics Developer?

AspectTrainee Bioinformatics Software EngineerJunior Bioinformatics Developer
Required CredentialsTypically a recent graduate or in early training, with a degree in bioinformatics, computer science, or related fieldsSimilar educational background, often entry-level or with minimal professional experience
Work EnvironmentTraining programs, internships, or entry-level projects within research labs or biotech companiesEntry-level roles in research teams or biotech firms, focusing on developing bioinformatics tools
Employer & Industry UsageUsed by companies and research institutions to train new talent in bioinformatics software developmentCommonly employed in biotech, pharma, and research organizations for initial software development tasks

The main difference is that a Trainee Bioinformatics Software Engineer is in a training or internship phase, focusing on learning and skill development, while a Junior Bioinformatics Developer is an entry-level professional actively contributing to projects. Both roles require similar educational backgrounds but differ in experience level and responsibilities.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Missouri?

The most popular types of Bioinformatics Software Engineer jobs in Missouri are:

What are popular job titles related to Trainee Bioinformatics Software Engineer jobs in Missouri?

For Trainee Bioinformatics Software Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Trainee Bioinformatics Software Engineer jobs in Missouri look for?

The top searched job categories for Trainee Bioinformatics Software Engineer jobs in Missouri are:

What cities in Missouri are hiring for Trainee Bioinformatics Software Engineer jobs?

Cities in Missouri with the most Trainee Bioinformatics Software Engineer job openings:

Trainee Bioinformatics Software Engineer jobs near you

Bioinformaticist - Medical Oncology

Saint Louis, MO • On-site

Washington University
Print Media Publishing • 51 - 200 employees
Learn more about Washington Universityexternal

$55K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago

Job description

Location
SAINT LOUIS, MO 63110Scheduled Hours
40
Position Summary
Assists in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results
Job Description
Primary Duties & Responsibilities:
Designs, develops, and implements:
  • Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical).
  • Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
  • Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.
  • Performs complex systems analysis of data and writes interpretative reports.
  • Evaluates commercial and academic bioinformatics software.
  • Trains other researchers on the everyday use of analysis software and research databases.
  • Assists with grant preparation and reporting of methods, data, and results.
  • Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.

Working Conditions:
Job Location/Working Conditions
  • Normal office environment

Physical Effort
  • Typically sitting at a desk or table

Equipment
  • Office equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Bachelor's degree
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
Research (4 Years)
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.
Preferred Qualifications
Education:
Master's degree, Ph.D. - Doctor of Philosophy
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Analytical Thinking, Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management, Discrete Mathematics, Group Problem Solving, Java (Programming Language), Perl Programming, Probabilistic Modeling, Python (Programming Language), Statistics
Grade
R11
Salary Range
$55,200.00 - $100,000.00 / Annually
The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Personal
  • Up to 22 days of vacation, 10 recognized holidays, and sick time.
  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.
  • Take advantage of our free Metro transit U-Pass for eligible employees.
  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness
  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family
  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered.
  • WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

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