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Entry Level Bioinformatics Engineer Jobs (NOW HIRING)

Scientific Data Curator

Hayward, CA ยท On-site

$67K - $68K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... The candidate will work closely with both the bioinformatics team and the laboratory team and is ...

Scientific Data Curator

San Mateo, CA ยท On-site

$67K - $67K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... The candidate will work closely with both the bioinformatics team and the laboratory team and is ...

Scientific Data Curator

Fremont, CA ยท On-site

$64K - $65K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... The candidate will work closely with both the bioinformatics team and the laboratory team and is ...

Scientific Data Curator

Sunnyvale, CA ยท On-site

$70K - $70K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... The candidate will work closely with both the bioinformatics team and the laboratory team and is ...

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Entry Level Bioinformatics Engineer information

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$43K

$131.1K

$238.5K

How much do entry level bioinformatics engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for entry level bioinformatics engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Bioinformatics Engineer vs Bioinformatics Technician?

AspectEntry Level Bioinformatics EngineerBioinformatics Technician
Required CredentialsBachelor's in Bioinformatics, Biology, or related field; some roles prefer programming skillsAssociate's or Bachelor's in Biology, Bioinformatics, or related field; less emphasis on programming
Work EnvironmentResearch labs, biotech companies, healthcare institutions; involved in data analysis and software developmentLaboratory settings; focuses on data collection, sample processing, and basic analysis
Employer & Industry UsageUsed in biotech, pharma, research institutions; entry-level role for bioinformatics projectsCommon in clinical labs, research facilities; supports bioinformatics workflows

The Entry Level Bioinformatics Engineer typically requires programming skills and focuses on data analysis and software development, while the Bioinformatics Technician mainly handles laboratory data collection and basic analysis. Both roles are essential in research and healthcare settings but differ in technical complexity and responsibilities.

What types of projects do Entry Level Bioinformatics Engineers typically work on, and how do they collaborate with other team members?

Entry Level Bioinformatics Engineers are often involved in projects such as analyzing genomic data, developing data pipelines, or supporting research teams in processing large biological datasets. They usually work closely with senior bioinformaticians, software developers, and wet-lab scientists to ensure that computational tools meet research needs. Collaboration is key; you may attend regular team meetings, participate in code reviews, and communicate findings to both technical and non-technical stakeholders. Over time, you'll gain exposure to different project phases, from data acquisition to result interpretation, which can help you grow into more specialized or advanced roles.

What are Entry Level Bioinformatics Engineers?

Entry Level Bioinformatics Engineers are professionals who apply computational and statistical techniques to analyze biological data, such as DNA, RNA, and protein sequences. They typically work with large datasets to help researchers understand genetic information, develop new drugs, or further biological research. These engineers often use programming languages like Python or R and work closely with scientists and other engineers. Entry-level positions are usually geared toward recent graduates or those new to the field, providing on-the-job training and opportunities to build foundational skills.

What are the key skills and qualifications needed to thrive as an Entry Level Bioinformatics Engineer, and why are they important?

To thrive as an Entry Level Bioinformatics Engineer, you need a solid understanding of biology, computer science, and statistics, typically supported by a relevant bachelor's degree. Experience with programming languages such as Python or R, familiarity with bioinformatics tools (like BLAST or Bioconductor), and basic knowledge of databases are commonly required. Strong problem-solving skills, attention to detail, and effective teamwork help individuals excel in collaborative and data-driven environments. These skills are essential for accurately analyzing complex biological data and contributing to innovative research and solutions in the life sciences.
What cities are hiring for Entry Level Bioinformatics Engineer jobs? Cities with the most Entry Level Bioinformatics Engineer job openings:
What are the most commonly searched types of Bioinformatics Engineer jobs? The most popular types of Bioinformatics Engineer jobs are:
What states have the most Entry Level Bioinformatics Engineer jobs? States with the most job openings for Entry Level Bioinformatics Engineer jobs include:
Scientific Data Curator

Scientific Data Curator

Blackstone Talent Group

Hayward, CA โ€ข On-site

$67K - $68K/yr

Other

Posted 8 days ago


Job description

Position Details:

Location: Redwood City, CA (Hybrid Remote/2-3 days onsite)

Type: 6 Month Contract (Extension Possible)

US Citizen, Green Card, H4 Visa, TN Visas are acceptable


POSITION SUMMARY

We are seeking a motivated and detail-oriented entry-level scientist to support curation and standardization of experimental assay data stored within an internal LIMS database. A successful candidate will review existing records, apply a consistent and pre-defined naming scheme, and work directly with scientists to resolve ambiguous or undocumented experimental information.

This is a highly collaborative, data-intensive role that requires a strong background in both laboratory science and data cleaning practices. An ideal candidate has hands-on or coursework exposure to biochemistry or molecular biology, is comfortable working with spreadsheets and databases, is detail-oriented, and communicates clearly and proactively.


RESPONSIBILITIES

  • Audit existing experimental records and identify inconsistencies, ambiguities, and duplications.
  • Flag records where information is missing, inconsistent, or requires scientific interpretation.
  • Apply pre-defined standards to an existing experimental database.
  • Translate informal lab terminology into standardized database entries.
  • Connect with scientists to clarify ambiguous pre-existing experimental information stored in the database.
  • Maintain a change log of all modifications made to existing records.
  • Assist in drafting a central style guide for data schema and data entry.
  • Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema.


QUALIFICATIONS

  • a Bachelor's or Masterโ€™s degree in Biochemistry, Molecular Biology, Chemical Biology, Bioengineering, Protein Engineering, or a closely related field
  • Strong written and oral communication skills
  • Strong record-keeping and organizational skills
  • Familiarity with common molecular biology principles and laboratory techniques (e.g., mutagenesis, cloning, and transformation)
  • Familiarity with common protein biochemistry principles and laboratory techniques (e.g., protein expression, purification, and characterization)


PREFERRED QUALIFICATIONS:

  • Familiarity with relational databases, Excel, or basic data querying (SQL or similar)
  • Exposure to electronic lab notebooks (ELNs) or LIMS platforms
  • Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel-based assays
  • Basic knowledge of protein structure-function relationships and mutation nomenclature
  • An understanding of directed evolution workflows
  • Basic experience generating or editing Python/R Scripts


WORK ENVIRONMENT

This is primarily a desk-based role. The candidate will work closely with both the bioinformatics team and the laboratory team and is expected to be comfortable moving between scientific and data-oriented conversations. Occasional visits to the lab to observe assay setups or review physical lab notebooks may be required.


EEO Statement:

Blackstone Talent Group is a division of Blackstone Technology Group, a global IT services and solutions firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstoneโ€™s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.