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As of May 30, 2026, the average hourly pay for java trainee in Cambridge, MA is $61.97, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $69.38 per hour, depending on experience, location, and employer.

What is a Java Trainee job?

A Java Trainee is an entry-level position designed for individuals who are new to Java programming. Trainees typically undergo training to learn Java development, software engineering principles, and best coding practices. They may work on real-world projects under the guidance of experienced developers to build their technical skills. This role serves as a foundation for becoming a full-time Java Developer.

What are the key skills and qualifications needed to thrive in the Java Trainee position, and why are they important?

To thrive as a Java Trainee, you should have a basic understanding of Java programming concepts, algorithms, and object-oriented design, typically supported by at least a bachelor’s degree in computer science or a related field. Exposure to integrated development environments (IDEs) like Eclipse or IntelliJ IDEA, basic knowledge of version control systems such as Git, and completion of relevant Java certifications can be beneficial. Attention to detail, eagerness to learn, and strong problem-solving and communication skills help you excel during training. These skills and qualities are crucial to build a solid foundation for advancing in software development and collaborating effectively with your team.

What does the typical day-to-day workflow look like for a Java Trainee?

As a Java Trainee, your daily workflow typically includes participating in team meetings, working closely with mentors to understand project requirements, and coding under supervision to build or debug Java applications. You may also be tasked with writing and executing test cases, conducting code reviews, and documenting your progress as you learn. Collaboration with other developers, testers, and sometimes business analysts is common, fostering a supportive environment where you can continuously improve your skills. This structure allows trainees to gain hands-on experience and gradually take on more complex responsibilities as they develop.
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Senior Bioinformatics Research

Senior Bioinformatics Research

Harvard University

Cambridge, MA • On-site

Full-time

Posted 17 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

128th of 529 rated colleges and universities


Job description

Position
Details
Title
Senior Bioinformatics Research
School
Harvard Medical School
Department/Area
Perrimon Lab
Position Description
We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in the lab who are responsible of design and generating such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and related datasets. 3.) Help develop custom databases, web portals and pipelines for managing raw and processed experimental data as well as reagent identification/designs. 4.) Collaborate closely with Investigator and lab members on research projects including defining the scope of the collaboration, researching the scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams. 5.) Properly document the procedures used in computational analysis, provide the summary reports of results, and contribute to grant and manuscript writing.
Salary and Benefits
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Basic Qualifications
Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data. Strong background in programming, algorithms and statistics. Familiarity with programming techniques for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal and bash is a plus. Experience using a compute cluster. Excellent information management skills.
Additional Qualifications
Experience using relational databases, SQL and / or structured data formats. Web programming experience (PHP, Django, JavaScript, JQuery, JSON, REST API) is a plus. Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse team.
Special Instructions
Contact Information
Claire Yanhui Hu
Contact Email
claire_hu@genetics.med.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
3
Maximum Number of References Allowed
3
Keywords