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Bioinformatics Phd Jobs (NOW HIRING)

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

We are currently searching for Bioinformatics Scientist to provide bioinformatics support to ... PhD preferred * Strong verbal and written communication skills * Familiar with multiple next gen ...

Bruker

Qualifications Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is ...

Nationwide Children's Hospital

PhD in Bioinformatics, Computational Biology, Computer Science, Biology, Genetics, or related field, required. Skills: * Must have diverse computational and biological expertise. * Must have ...

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How much do bioinformatics phd jobs pay per year?

As of Jul 20, 2026, the average yearly pay for bioinformatics phd 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 can I do with a bioinformatics PhD?

A bioinformatics PhD prepares individuals for research and development roles in academia, biotech, and pharmaceutical industries, focusing on analyzing biological data using computational tools and programming languages like Python or R. Graduates often work as bioinformatics scientists, data analysts, or computational biologists, contributing to genomics, personalized medicine, and drug discovery projects. Advanced knowledge of algorithms, statistical methods, and biological databases is essential for these positions.

What are typical projects or responsibilities for someone in a Bioinformatics PhD role?

In a Bioinformatics PhD role, you may be tasked with designing and implementing computational analyses to interpret large-scale genomic or proteomic data, developing new algorithms or pipelines, and contributing to manuscripts or research publications. Collaboration with experimental biologists, clinicians, and fellow data scientists is common, requiring you to translate complex biological questions into computational approaches and communicate results effectively. On a daily basis, you might analyze sequencing data, troubleshoot code, manage data workflows, and help mentor junior researchers or students. These responsibilities offer dynamic opportunities to make a significant impact in advancing biological research and medical innovation.

Is bioinformatics a high paying job?

Bioinformatics PhDs often earn competitive salaries, especially in biotech, pharmaceutical, and research sectors, with median salaries typically higher than many other science roles. Salary levels depend on experience, location, and industry, with advanced skills in programming, data analysis, and biological sciences increasing earning potential.

Is AI going to replace bioinformatics?

Bioinformatics PhDs utilize AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise. Professionals in this field interpret complex data, develop algorithms, and validate results, making their role essential despite advances in AI technology.

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

A successful Bioinformatics PhD possesses advanced knowledge in computational biology, statistics, genomics, and a doctoral degree in bioinformatics or a closely related field. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST, Galaxy, or Bioconductor are commonly expected. Strong analytical thinking, effective communication, and collaborative skills are highly valued in this field. These skills enable bioinformatics professionals to analyze complex biological data, work efficiently within multidisciplinary teams, and drive meaningful scientific discoveries.

What is a Bioinformatics PhD job?

A Bioinformatics PhD job involves conducting research and developing computational tools to analyze biological data, such as genomics, proteomics, and clinical datasets. Professionals in this role work at the intersection of biology, computer science, and mathematics to derive meaningful insights from complex biological information. They may work in academia, pharmaceutical companies, biotechnology firms, or healthcare institutions, contributing to advancements in medicine, drug discovery, and personalized healthcare. Essential skills include programming, statistical analysis, machine learning, and a deep understanding of molecular biology.

Is it worth getting a PhD in bioinformatics?

A PhD in bioinformatics prepares individuals for research, data analysis, and development of computational tools in the field, often leading to academic, industry, or healthcare roles. It provides advanced skills in programming, statistics, and biology, but requires significant time and effort with variable job prospects depending on the sector and experience level.
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Bioinformatics Phd jobs near you
Infographic showing various Bioinformatics Phd job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Senior Bioinformatics Research

Senior Bioinformatics Research

Harvard University

Cambridge, MA • On-site

Full-time

Re-posted 8 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

81st of 555 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
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