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Computational Genomics Jobs (NOW HIRING)

Mentor graduate students, postdoctoral fellows, and research staff in computational genomics. * Maintain data management, quality control, and reproducibility standards in accordance with ...

This individual will serve as a hands-on expert in cancer genetics/genomics and computational approaches to oncology, driving the discovery and prioritization of novel oncology targets and ...

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How much do computational genomics jobs pay per hour?

As of May 31, 2026, the average hourly pay for computational genomics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a Computational Genomics job?

A Computational Genomics job involves using computational and statistical approaches to analyze genomic data. Professionals in this field develop algorithms, build models, and apply machine learning to interpret DNA sequences, gene expression, and other biological data. They work in research, healthcare, biotechnology, and pharmaceutical industries to advance precision medicine, drug discovery, and disease understanding. Strong programming skills, bioinformatics knowledge, and expertise in data analysis are essential for this role.

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

To thrive as a Computational Genomics professional, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, genomics, or computational biology. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics tools (e.g., BLAST, GATK), and platforms like Linux/UNIX is essential. Strong problem-solving abilities, effective communication, and the ability to work collaboratively with interdisciplinary teams are valuable soft skills. These abilities are crucial for accurately analyzing complex genomic data, developing robust workflows, and translating findings into actionable biological insights.

What are the most common daily responsibilities for someone working in Computational Genomics?

As a professional in Computational Genomics, your typical day may involve analyzing large-scale genomic datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental biologists and other computational scientists. You will often be tasked with interpreting complex biological data, troubleshooting data quality issues, and preparing detailed reports or visualizations of your findings. Additionally, you may participate in team meetings to discuss project goals, new research findings, or workflow improvements. This role requires balancing independent analysis with frequent interdisciplinary collaboration to ensure scientific projects progress efficiently.
What cities are hiring for Computational Genomics jobs? Cities with the most Computational Genomics job openings:
What states have the most Computational Genomics jobs? States with the most job openings for Computational Genomics jobs include:

Bioinformatician / Data Scientist / Computational Biologist focused on RNA Therapeutics

Novartis Group Companies

Cambridge, MA

$138.60K - $257.40K/yr

Other

Medical, Life, Retirement, PTO

Posted 4 days ago


Job description

Job Description Summary

The Biologics Research Center (BRC) is looking for a bioinformatician, a data scientist, or a computational biologist to join the Bioinformatics and Biotherapeutics modeling team in Cambridge, US.
The team collaborates closely with experimental scientists to analyze different types of screening, omics data sets, define and develop data analysis pipelines and tools to support our xRNA programs, and to improve technology platforms in the xRNA space.


Job Description

Internal job title: Senior Expert I/II, Data Science

Location: Cambridge, MA, onsite #LI-onsite

One of the key responsibilities of the successful candidate is to provide computational, bioinformatic, and statistical support for research and early discovery of RNA therapeutics and RNA platform innovation. You work in a collaborative and multi-disciplinary environment by translating projects' needs into bioinformatics solutions; you identify computational needs and influence the introduction and the design of new/state-of-the-art analysis techniques and tools to leverage the use of bioinformatics in the RNA focus area.

Your Key Responsibilities:

  • Provide bioinformatics support to xRNA pipeline and technology projects by consistently collecting, analyzing, integrating in-silico parameters, screening and omics data to draw relevant and innovative conclusions

  • Independently design, plan, execute, and document complex data analysis, then interpret, summarize and report findings to help drive decisions and set priorities

  • Follow latest advances in the field, raise awareness, and influence the introduction of novel and state-of-the-art computational techniques

  • Collaborate in a matrix environment, working with scientists and teams in different areas to address projects' specific needs and quickly adapt to new technologies and changing needs

  • Develop user-friendly applications to make RNA data accessible to bench scientists for broader and repeated use

  • Communicate data and analyses to broad scientific audience, technical and non-technical team members and colleagues

  • Independently identify and lead, or support, the development of innovative bioinformatics solutions in a matrix environment to answer scientific questions with an impact on the development of the next-generation xRNA therapeutics biology and platform.

Essential Requirements:

  • PhD degree in Bioinformatics, Computational Biology, Cheminformatics, or a closely related discipline, along with a minimum of two years of post-graduate experience, or an MS degree with a minimum of 6 years of relevant work experience, preferably in industry.

  • Demonstrated experience working with next-generation sequencing data (Ilumina short reads and/or PacBio/Oxford Nanopore long reads), its commonly used analysis tools, and ability to develop new pipelines and workflows based on business needs

  • Strong domain knowledge in molecular biology, computational genomics and transcription gene regulation and/or post-transcription gene regulation. Knowledge and research experience in RNA biology. Experience in oligonucleotide therapeutics discovery and/or gene therapy is highly desired

  • Development and application of machine learning algorithms for predictive modeling

  • Solid skills in programming languages, i.e. Python and R, and scientific computing with Unix / high-performance computing environment, including software development practices as version control, testing, documentation, etc

  • Strong communication skills (oral and written), ability to multi-task, and to communicate own results also to collaborators with different expertise

  • Experience in integrating, analyzing, visualizing data from different -omics sources, high throughput screening and ability to troubleshoot critical issues or problems, determine causes and possible solutions

  • Ability to monitor and stay up to date on developments within the field of sequencing and genomics to actively propose improvements and innovation in current workflows

Desired Requirements:

  • Knowledge in oligonucleotide chemistry and RNA structure modeling

  • Experience in lab automation and data management

The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, and $138,600 and $257,400 USD annually for Senior Expert II. The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.


Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.


US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, employees are eligible for a generous time off package including vacation, personal days,holidays and other leaves.


To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$126,000.00 - $234,000.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis