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Full Time Bioinformatic Jobs (NOW HIRING)

This is a full-time position. AIS benefits package includes health and dental insurance, vacation ... Bioinformatics expertise, including experience with Next-Generation Sequencing (NGS) data analysis ...

We are currently searching for Bioinformatics Scientist to provide bioinformatics support to ... This is a full-time, on-site opportunity in Durham, NC. * Collaborate with scientists to design ...

Job Type Full-time Description JOB TITLE: Bioinformatician II POSITION NUMBER: 2510-CORVD-BIO-II POSITION LOCATION: Atlanta, GA, USA ANTICIPATED START DATE: 2 weeks after candidate identification ...

This is a full-time position. AIS benefits package includes health and dental insurance, vacation ... Bioinformatics expertise, including experience with Next-Generation Sequencing (NGS) data analysis ...

Bioinformatics Scientist - NIH - Bethesda, MD Kelly Government Solutions is a strategic supplier ... We offer a variety of full-time, project (SOW), seasonal, and surge support opportunities in ...

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Full Time Bioinformatic information

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$54.5K

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How much do full time bioinformatic jobs pay per year?

As of Jul 23, 2026, the average yearly pay for full time bioinformatic in the United States is $96,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What are full-time bioinformaticians?

Full-time bioinformaticians are professionals who apply computational techniques and software tools to analyze and interpret biological data, such as DNA, RNA, or protein sequences. They often work in research institutions, healthcare, or biotechnology companies to support scientific discoveries and medical advancements. Their responsibilities may include developing algorithms, managing large datasets, and collaborating with biologists and clinicians. Bioinformaticians play a crucial role in genomics, drug discovery, and personalized medicine. A full-time position generally means they work standard business hours and are dedicated entirely to their employer or research group.

What is the difference between Full Time Bioinformatic vs Full Time Data Analyst?

AspectFull Time BioinformaticFull Time Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, Computer ScienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsCorporate offices, consulting firms, finance, healthcare
Industry UsageBiotech, pharmaceuticals, healthcare researchFinance, marketing, healthcare, technology
Common Search IntentBioinformatics jobs, bioinformatics careersData analysis jobs, data analyst roles

Full Time Bioinformatic roles focus on analyzing biological data, often requiring knowledge of biology and bioinformatics tools. In contrast, Full Time Data Analyst positions emphasize interpreting data across various industries, including finance and marketing. While both roles involve data analysis, bioinformaticians typically work in research and healthcare settings, whereas data analysts are more common in business environments.

What are the key skills and qualifications needed to thrive as a Full Time Bioinformatician, and why are they important?

To thrive as a Full Time Bioinformatician, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or genomics. Familiarity with programming languages (like Python or R), experience with bioinformatics tools (such as BLAST, GATK, or Galaxy), and knowledge of databases are typically required. Analytical thinking, problem-solving, and strong communication skills set top professionals apart, enabling effective collaboration with multidisciplinary teams. These competencies are critical for managing complex biological data and driving scientific discovery in research or clinical environments.

What are some common challenges faced by full-time bioinformaticians when working with large-scale biological datasets?

Full-time bioinformaticians often encounter challenges related to managing, processing, and interpreting vast and complex biological datasets, such as next-generation sequencing data. Handling data quality issues, ensuring reproducibility, and integrating diverse data types from multiple sources can be demanding. Additionally, bioinformaticians must stay current with evolving computational tools and collaborate closely with wet-lab scientists to translate data analyses into meaningful biological insights. Strong problem-solving skills and adaptability are essential for overcoming these challenges.
What cities are hiring for Full Time Bioinformatic jobs? Cities with the most Full Time Bioinformatic job openings:
What are the most commonly searched types of Bioinformatic jobs? The most popular types of Bioinformatic jobs are:
What states have the most Full Time Bioinformatic jobs? States with the most job openings for Full Time Bioinformatic jobs include:
Bioinformatics Scientist

Bioinformatics Scientist

EdenRoc Sciences

Scotts Valley, CA • On-site

$80K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Dovetail Genomics is an EdenRoc Sciences startup company based in Santa Cruz, CA developing cutting-edge genomics technologies for vastly improving genome assembly, uncovering critical structural variation information, as well as many applications for studying epigenetics. We are a diverse, talented, multi-disciplinary team innovating in the field of genomics, with the goal of leaving a lasting impact on the world by providing researchers and clinicians with tools for better informing biological understanding.
This role is located in Scotts Valley offices as we find one-on-one in person collaboration very valuable.
We are looking for an outstanding Bioinformatics Scientist to drive development of new clinical applications of the proximity ligation technology created by Dovetail Genomics. The ideal candidate will have a proven track record of developing advanced NGS-based analytical methods, ideally with a focus on cancer genomics. Prior experience with proximity ligation (Hi-C) is not required, but it is expected that it will be picked up quickly. He/she should be driven by developing impactful products and enjoy working in a multi-disciplinary environment. This position will interact closely with colleagues in computational biology, molecular biology, commercial, and finance.
The role of Bioinformatics Scientist requires a high level of scientific accomplishment, innovative thinking, and entrepreneurial spirit. Individuals applying for this position must be creative, self-starters, strategic thinkers, action-oriented, flexible in changing direction and methods, thrive in a fast-paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution with a minimum of hands-on supervision.
Key Responsibilities
  • Investigate and drive the development of novel analytical methods that leverage large Hi-C datasets to enable new products and services.
  • Collaborate closely with multi-disciplinary R&D teams on assay development & benchmarking.
  • Support production & commercial development teams with data analysis and interpretation.
  • Regularly present your work both internally and externally, effectively communicating your methods and results to audiences with diverse scientific and non-scientific backgrounds.
  • Contribute and author bioinformatics-focused white papers, posters, and publications.

Skills And Background
  • PhD in bioinformatics, computational biology, or equivalent. Postdoctoral and/or industry experience is a major plus.
  • Experience developing and implementing novel bioinformatics algorithms and pipelines.
  • Extensive experience processing, integrating, and visualizing large, multi-omics datasets (WGS, RNA-Seq, etc.).
  • Proficiency with agentic AI for robust code development and scientific workflows.
  • Experience with the human pangenome and pangenome-based analysis is a plus.
  • Expertise in Python programming and demonstrated ability to learn and adopt bioinformatics techniques and resources.
  • Experience developing within a Linux-based cloud-computing environment (AWS preferred).
  • Ability to quickly become an expert in new fields.
  • Exceptional technical depth in cancer genomics, cancer biology, oncology, or similar.
  • Excellent written, presentation, and verbal communication skills.

As a full-time Dovetail Genomics employee, you will receive Fortune 500 level benefits including comprehensive medical, dental, and vision coverage, life and disability insurance, matching 401k plan, and generous paid time off. You will work in a beautiful facility nestled in the Santa Cruz Mountains with walking paths and on-site health club.
Dovetail Genomics is an equal opportunity employer. We are not accepting phone calls related to open positions - candidates that meet our requirements will be contacted directly. No recruiters please