1

Bioinformatics Data Engineer Jobs in Mississippi

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Experience with data visualization tools/libraries such as ggplot, heatmaps, or ...

Bioinformaticist

Pascagoula, MS · On-site

  • Medical

  • Dental

  • PTO

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Bioinformaticist

Pascagoula, MS · On-site

  • Medical

  • Dental

  • PTO

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Bioinformaticist

Pascagoula, MS · On-site

  • Medical

  • Dental

  • PTO

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

Bioinformaticist

Pascagoula, MS · On-site

  • Medical

  • Dental

  • PTO

Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics. * Proficiency in scripting languages (Python, R) and knowledge of software ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Bioinformatics Data Engineer information

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

What are popular job titles related to Bioinformatics Data Engineer jobs in Mississippi?

For Bioinformatics Data Engineer jobs in Mississippi, the most frequently searched job titles are:

Infographic showing various Bioinformatics Data Engineer job openings in Mississippi as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Bioinformaticist

CSS Corporation

Pascagoula, MS • On-site

Other

Posted 7 days ago


Job description

Bioinformaticist

CSS, Inc. is looking for a qualified Bioinformaticist to support the Marine Mammal & Turtle Division (MMTD) of the Southeast Fisheries Science Center (SEFSC). The candidate will conduct and support research to improve laboratory and data analysis techniques to help understand the distribution and abundance of marine and anadromous species and improve the effectiveness of fishery management and conservation of anadromous and marine organisms at the Southeast Fisheries Science Center within the Marine Mammal and Turtle Division and across multiple divisions. The candidate will also perform research developing, refining, and utilizing molecular techniques to investigate various marine and anadromous species, as well as participate in laboratory, field, and statistical projects and contribute substantively to research on molecular techniques for fisheries management, including eDNA.

Location: Miami, FL, Beaufort, NC, or Pascagoula, MS (On Site)

Responsibilities

Data Analysis

  • Use statistics and computational approaches to assess data and results that influence the management of fisheries and conservation of a variety of marine and anadromous taxa. Continue the development of robust data management planning and execution to meet all requirements of the Public Access to Research Results (PARR) Act.
  • Provide analysis of existing and future genomic datasets, and facilitation of project lead analysis, including the development and testing of tools, as needed, to include RADseq analysis, WGS to variant calling, population genomics, landscape genetic analysis, source-sink dynamics, CKMR, metabarcoding bioinformatics analysis in marine fish and mammal species, and analysis of eDNA data.
  • Work closely with the program manager to identify research priorities for the group and conduct project management to ensure that data is delivered efficiently and accurately. Construct deadlines and ensure that these deadlines are being met or adjusted accordingly. Manage laboratory approaches, including assisting with purchasing and inventory, and training new employees.
  • Occasionally participate in the collection and analysis of data on anadromous or marine organisms.

Coordination and Collaboration

  • Establish and nurture effective partnerships with internal and external scientists and resource managers from other National Oceanic and Atmospheric Administration (NOAA) offices, Federal and State agencies, academic institutions, and international institutions.
  • Collaborating with internal and external groups to aid in the sharing of information to meet common objectives.

Reporting and Publication

  • Prepare management reports, information products, and presentations for both general and technical audiences. Participate in publishing research in scientific journals as lead or co-author.
  • Assisting with the development of reports, papers, presentations, or briefs on marine or fisheries-related information.

Project-Specific Meetings

  • Attend planning and coordination meetings with MMTD researchers either virtually or in person.
Qualifications
  • MS Degree (or higher) in Marine Science, Biology, Oceanography, Ecology, Statistics, or a related field of study or BS Degree in Marine Science or a related field of study plus five years of relevant experience
  • Ability to go to sea (generally < 1 week)
  • Experience leading a small team preferred
  • Expertise in Bioinformatics
  • Ability to present and publish to peer-review audiences and journals
  • Experience with Next-Generation Sequencing (NGS) data analysis, including RNA-seq, exome-seq, whole-genome and targeted sequencing, and methylation analysis.
  • Strong knowledge of R/Bioconductor, Python, and other programming languages used in data science and bioinformatics.
  • Experience with data visualization tools/libraries such as ggplot, heatmaps, or dimension reduction techniques.
  • Proficiency in scripting languages (Python, R) and knowledge of software engineering best practices are expected.
  • Working knowledge of marine mammal or marine science research activities.
  • Ability to lift/carry at least 40lbs and work outdoors for extended periods.
  • Initial physical exam and/or periodic medical monitoring, including drug screening, may be required for sea-going roles
  • Ability to pass a National Agency Check (NACI) and maintain it throughout the duration of employment.
  • US Citizenship or legal permanent residence ("green card") is required