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Co Op Bioinformatics Jobs (NOW HIRING)

... and bioinformatics questions * Keep up-to-date on cutting-edge research in the AI for drug ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

... and bioinformatics questions • Keep up-to-date on cutting-edge research in the AI for drug ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

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Co Op Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do co op bioinformatics jobs pay per year?

As of May 29, 2026, the average yearly pay for co op bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Co Op Bioinformatics, and why are they important?

To thrive as a Co Op Bioinformatics, you need a solid background in biology, statistics, and computer science, often supported by coursework or experience in molecular biology and programming. Familiarity with bioinformatics tools such as BLAST, Python, R, and databases like GenBank is typically required. Attention to detail, effective communication, and problem-solving abilities are standout soft skills in this role. These competencies enable accurate data analysis, effective collaboration with research teams, and meaningful contributions to scientific discoveries.

What types of projects do Co-Op Bioinformatics students typically work on, and how do these experiences contribute to their professional development?

Co-Op Bioinformatics students often engage in projects involving the analysis of large biological datasets, such as genomic sequences or protein structures, using computational tools and programming languages like Python or R. These projects might include developing data pipelines, assisting with algorithm implementation, or supporting ongoing research in collaboration with scientists and lab teams. Such hands-on experiences provide practical skills in data analysis, teamwork, and scientific communication, which are highly valued in both academic and industry settings. This exposure helps students build a strong foundation for future roles in bioinformatics, computational biology, or related fields.

What are Co Op Bioinformatics positions?

Co Op Bioinformatics positions are temporary work placements that allow students or recent graduates to gain practical experience in the field of bioinformatics while still completing their education. These roles typically involve working on projects that combine biology, computer science, and data analysis to solve biological problems. Co-op positions provide hands-on training, exposure to real-world research or industry environments, and opportunities to develop technical and analytical skills relevant to bioinformatics careers.

What is the difference between Co Op Bioinformatics vs Bioinformatics Technician?

AspectCo Op BioinformaticsBioinformatics Technician
Required CredentialsTypically pursuing or recent graduate in bioinformatics, biology, or related fieldAssociate's or bachelor's degree in bioinformatics, biology, or related field
Work EnvironmentInternship setting, often part-time or seasonal, in research labs or biotech companiesFull-time or part-time technical role in research or clinical labs
Employer & Industry UsageEducational institutions, biotech firms, research organizationsResearch labs, biotech companies, healthcare institutions

Co Op Bioinformatics positions are typically internships aimed at students gaining practical experience, while Bioinformatics Technicians are more permanent roles focused on data analysis and support. Both roles require similar educational backgrounds but differ in experience level and job responsibilities.

More about Co Op Bioinformatics jobs
What cities are hiring for Co Op Bioinformatics jobs? Cities with the most Co Op Bioinformatics job openings:
What are the most commonly searched types of Bioinformatics jobs? The most popular types of Bioinformatics jobs are:
What states have the most Co Op Bioinformatics jobs? States with the most job openings for Co Op Bioinformatics jobs include:
What job categories do people searching Co Op Bioinformatics jobs look for? The top searched job categories for Co Op Bioinformatics jobs are:
Infographic showing various Co Op Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Bioinformatics Co-op (Fall 2026)

Bioinformatics Co-op (Fall 2026)

Wave Life Sciences

Cambridge, MA

Full-time

Posted 8 days ago


Job description

Wave Life Sciences is a biotechnology company focused on unlocking the broad potential of RNA medicines to transform human health. Our RNA medicines platform, PRISM, combines multiple modalities, chemistry innovation and deep insights in human genetics to deliver scientific breakthroughs that treat both rare and prevalent disorders. Our toolkit of RNA-targeting modalities includes editing, splicing, RNA interference and antisense silencing, providing us with unmatched capabilities for designing and sustainably delivering candidates that optimally address disease biology. Our diversified pipeline includes clinical programs in Duchenne muscular dystrophy, Alpha-1 antitrypsin deficiency and Huntington's disease, as well as a clinical program in obesity and a preclinical program in NASH/MASH. Driven by the calling to "Reimagine Possible", we are leading the charge toward a world in which human potential is no longer hindered by the burden of disease.

Description: 

Wave needs a highly motivated and detail-orientated individual to work in the areas of bioinformatics, computational biology and human genetics in support of Wave's drug discovery programs. The candidate will be expected to work within a team to design and execute sequence-based machine learning projects that generate critical information for drug discovery and target assessment. The candidate will create and deploy data and test hypotheses related to human genetics and bioinformatics. The candidate will build and use the next generation of human genetics and bioinformatics tools for the development of oligonucleotide therapeutics. The candidate should have a strong coding and software development background and a willingness to work in an interdisciplinary team of chemists, biologists, and software developers.  

Experience: 

  • Discovery and development of oligonucleotide therapeutics is a plus
  • Working with high-performance compute environments

Responsibilities:     

  • Design and build pipelines that process and analyze related data, store summary results and integrate with the corporate ELN
  • Build applications to support bioinformatics and human genetics pipelines in R (shiny) and Python (streamlit)
  • Develop, deploy, manage, and run applications using Docker containers
  • Contribute to best practices for Wave's storage-and-compute scalability of large bioinformatics datasets
  • Develop pipelines that determine mapping coordinates and homology of oligonucleotides to genomes and transcriptomes
  • Espouse best practices for version control for developed software (Git)

Key Skills:

  • Experience with common human genetics resources and techniques 
  • Deployment and deployment of interactive application from scripting languages like R and Python (Shiny and streamlit)
  • Experience with relational databases; hands on experience with MySQL is a plus.
  • Experience in common NGS analyses task such mapping reads, quantification of gene expression, and/or variant calling.
  • Experience with common bioinformatics tools like Samtools, GATK, Bowtie, HISAT2, BLAST, htseq-count, DESeq, Salmon, STAR, or Subread 
  • Knowledge of Illumina sequencing data analysis is necessary and experience with PacBio and/or Nanopore sequencing is a plus
  • Familiarity with UNIX computing environment and proficiency in either Python or R scripting. Experience with docker and Nextflow pipeline is also strongly recommended.
  • Ability to communicate finding of NGS data to a general scientific audience in both oral and written forms.

Wave Life Sciences provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Wave Life Sciences complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Wave Life Sciences expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Wave Life Sciences' employees to perform their job duties may result in discipline up to and including discharge.

We value our relationships with professional recruitment firms. To protect the interests of all parties, and given the large volume of inquiries received from third-party placement agencies, we are not able to respond to all agency inquiries. We do not accept unsolicited resumes from any source other than directly from candidates for current or future positions. Submission of unsolicited resumes in advance of a signed agreement between our company and a placement agency does not create an implied obligation and, if an unsolicited candidate represented by a placement agency is hired, we are not obligated to pay a fee. Only approved recruitment firms will be allowed to provide services to Wave Life Sciences, USA.