Computational Genomics Specialist Job Description [Updated for 2024]

computational genomics specialist job description

In the era of personalized medicine, the need for Computational Genomics Specialists is increasingly significant.

As bioinformatics strides into the future, the demand for specialized professionals who can decipher, enhance, and secure our genomic data continues to surge.

But let’s take a closer look: What’s really expected from a Computational Genomics Specialist?

Whether you are:

  • A job seeker trying to understand the core responsibilities of this role,
  • A hiring manager mapping out the perfect candidate,
  • Or simply fascinated by the intricacies of computational genomics,

You’ve come to the right place.

Today, we present a flexible Computational Genomics Specialist job description template, crafted for effortless posting on job boards or career portals.

Let’s delve right into it.

Computational Genomics Specialist Duties and Responsibilities

Computational Genomics Specialists work at the intersection of biology and computer science, using computational and statistical techniques to address biological problems on a genomic scale.

They are responsible for developing algorithms, designing experiments, and analyzing large datasets to extract meaningful information about genetics and genomics.

Their duties and responsibilities include:

  • Developing and implementing computational algorithms to analyze genomic data
  • Interpreting complex biological information into numerical data for analyses
  • Working closely with bioinformaticians and researchers to understand their data needs and design solutions
  • Performing quality control on genomic data and identifying potential issues
  • Conducting statistical analyses of genomic datasets to identify patterns or relationships
  • Building and maintaining databases for genomic data storage and retrieval
  • Keeping up to date with the latest technologies and advancements in genomics and bioinformatics
  • Communicating results and findings effectively to both technical and non-technical audiences
  • Collaborating with cross-functional teams to develop, refine, and improve genomics platforms and applications


Computational Genomics Specialist Job Description Template

Job Brief

We are seeking a skilled Computational Genomics Specialist to join our team.

The ideal candidate will leverage their knowledge of genomics and computational methodologies to contribute to our research and development initiatives.

This role involves interpreting complex genomic data, developing algorithms and statistical models, and collaborating with teams of researchers and scientists.



  • Analyze and interpret complex genomic data sets
  • Develop and optimize algorithms and statistical models for the analysis of genomic data
  • Collaborate with researchers and scientists to design and conduct experiments
  • Present findings to non-technical stakeholders and contribute to scientific papers
  • Stay updated on current literature and emerging technologies in the field of computational genomics
  • Ensure data security and compliance with relevant regulations
  • Maintain clear and accurate documentation of all computational procedures



  • PhD in Bioinformatics, Computational Biology, Genomics, or a related field
  • Experience with genomic data analysis and interpretation
  • Proficiency with programming languages such as Python, R, or Java
  • Knowledge of machine learning algorithms and statistical models
  • Experience working with large data sets and databases
  • Strong communication skills, with the ability to present complex information to non-technical stakeholders
  • Ability to work collaboratively with a team and independently



  • 401(k)
  • Health insurance
  • Dental insurance
  • Retirement plan
  • Paid time off
  • Opportunities for continued learning and professional development


Additional Information

  • Job Title: Computational Genomics Specialist
  • Work Environment: This role will primarily be based in a laboratory setting with some opportunities for remote work. Some travel may be required for conferences or collaborative projects.
  • Reporting Structure: Reports to the Head of Bioinformatics or Genomics Research Lead.
  • Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
  • Pay Range: Competitive salary commensurate with experience
  • Location: [City, State] (specify the location or indicate if remote)
  • Employment Type: Full-time
  • Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
  • Application Instructions: Please submit your resume, a cover letter detailing your experience and research interests, and any relevant publications or projects to [email address or application portal].


What Does a Computational Genomics Specialist Do?

Computational Genomics Specialists combine their knowledge of genomics and computer science to analyze and interpret biological data.

They usually work for medical research institutes, pharmaceutical companies, or universities.

Their main duty is to develop and apply computational algorithms to extract useful information from genomic data.

They create computational models to predict the behavior of genetic materials, such as DNA, RNA, and proteins, in various conditions.

They work closely with biologists, geneticists, and other scientists to understand the questions that need to be answered and then design the appropriate computational models to provide the answers.

These specialists also troubleshoot and refine computational tools and methods to improve their accuracy and efficiency.

They are often required to keep up with the latest scientific literature and incorporate new findings into their computational models.

In addition, they might be responsible for managing and curating large biological databases.

They ensure that the data is accurate, complete, and accessible to other researchers.

Computational Genomics Specialists often present their findings in scientific papers or conferences.

They also may collaborate with other scientists to help them interpret and use their computational findings in biological experiments.


Computational Genomics Specialist Qualifications and Skills

A Computational Genomics Specialist should have the skills and qualifications that align with your job description, such as:

  • Strong knowledge of molecular biology and genomics to understand and work with complex genetic data.
  • Expertise in computational biology, bioinformatics or a related field to handle and process large genomic datasets.
  • Excellent programming skills in languages such as Python, R, or C++ to develop and implement algorithms and software for genomics research.
  • Strong analytical and problem-solving skills to interpret complex genomic data and identify patterns or trends.
  • Detail-oriented and strong organisational skills to manage and work with large, complex datasets.
  • Excellent communication skills to effectively explain complex genomic data and findings to other researchers, clinicians, and stakeholders.
  • Experience with genome sequencing technologies and bioinformatics tools such as BLAST, Bioconductor, and others.
  • Familiarity with statistical analysis and machine learning techniques to analyze and interpret genomic data.
  • Ability to work collaboratively in an interdisciplinary team of researchers, bioinformaticians, and clinicians.


Computational Genomics Specialist Experience Requirements

Entry-level Computational Genomics Specialists typically have completed a bachelor’s degree in Genomics, Bioinformatics, Computational Biology, or a related field.

They should have experience in data analysis, bioinformatics programming languages, and have a strong understanding of molecular biology and genetics.

Candidates may also gain practical experience through an internship or part-time role in a laboratory or research environment.

These professionals can also gain on-the-job experience in roles such as Data Analyst, Bioinformatics Analyst, or Research Assistant.

Candidates with more than 2-3 years of experience often develop their technical skills and knowledge in entry-level Computational Genomics Specialist roles.

They are expected to be proficient in using and developing bioinformatics tools and databases, and have a strong understanding of genomics, transcriptomics and epigenomics data analysis.

Those with more than 5 years of experience are often considered experts in their field.

They may have published research, led major projects, or developed novel computational algorithms for genomic data analysis.

At this level, they may be ready for a managerial or team-lead position, overseeing the work of less experienced colleagues and guiding the direction of research and analysis.

In all cases, a Computational Genomics Specialist should be able to demonstrate strong analytical skills, problem-solving abilities, and excellent understanding of genomics and bioinformatics.


Computational Genomics Specialist Education and Training Requirements

A Computational Genomics Specialist typically requires a master’s degree or Ph.D. in Computational Biology, Bioinformatics, Genomics, or a related field.

In-depth knowledge and understanding of molecular biology, genetics, and biochemistry, as well as a solid foundation in statistics and computer science, are critical for this role.

The specialist also needs to be proficient in scripting languages such as Python, R, or Perl, and familiar with bioinformatics tools and databases.

Many positions, particularly those in research or academia, require a post-doctorate or significant work experience in the field.

Certifications related to bioinformatics, computational biology, or data analysis may be beneficial for career advancement.

A Computational Genomics Specialist also requires strong problem-solving abilities and the capacity to work with large datasets.

Continuing education is vital in this field, as the technology and understanding of genomics are constantly evolving.


Computational Genomics Specialist Salary Expectations

A Computational Genomics Specialist earns an average salary of $95,000 (USD) per year.

The actual salary can differ based on factors such as the specialist’s level of expertise, the complexity of tasks they undertake, their educational qualifications, and the region in which they work.


Computational Genomics Specialist Job Description FAQs

What skills does a Computational Genomics Specialist need?

A Computational Genomics Specialist should possess strong analytical and problem-solving skills for dealing with complex genomic data.

They need to have knowledge of bioinformatics, genomics, programming, statistics, and data visualization.

Good communication skills are also important as they often work as part of a multidisciplinary team.


What is the educational requirement for a Computational Genomics Specialist?

Most employers require a minimum of a Master’s Degree in Bioinformatics, Computational Biology, Genomics, or a related field.

A Ph.D. is preferred for some positions.

They should have experience in handling, analyzing, and interpreting high-throughput genomic data.


What should you look for in a Computational Genomics Specialist resume?

A Computational Genomics Specialist’s resume should highlight their education and experience in handling genomic data.

Look for skills in programming languages like Python, R, or Perl, and tools such as BLAST, Bioconductor, and Genome browsers.

Experience with machine learning techniques and proficiency in statistical analysis software like SAS or SPSS can also be valuable.


What qualities make a good Computational Genomics Specialist?

A good Computational Genomics Specialist should be detail-oriented and capable of managing large and complex datasets.

They should have strong problem-solving skills and the ability to work independently as well as part of a team.

Constant curiosity and eagerness to keep up with the latest developments and techniques in genomics are also important traits.


Is it difficult to hire a Computational Genomics Specialist?

Hiring a Computational Genomics Specialist can be challenging due to the specialized skill set required.

The field is also quite competitive, so attracting and retaining top talent may require a compelling offer, including competitive salaries, opportunities for professional development, and exciting research projects.



And there we have it.

Today, we’ve delved into the exciting and intricate world of a computational genomics specialist.


It’s not just about analyzing genomes.

It’s about shaping the future of genomics, one data analysis at a time.

Armed with our detailed computational genomics specialist job description template and practical examples, you’re ready to take the next step.

But why settle there?

Go deeper with our job description generator. It’s your ultimate tool for creating precision-tailored job listings or fine-tuning your resume to perfection.


Every data analysis contributes to the grander scheme of genomics.

Let’s shape that future. Together.

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