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Bioinformatics In Jobs in Washington (NOW HIRING)

Ariadne

NCBI Software Developer (C++, Python)

Bethesda, MD · On-site +1

$52.25 - $70.50/hr

Overview Ariadne is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and onsite at the NIH in ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (ORIVA) research validation and application ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site +1

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

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Bioinformatics In information

What is the difference between Bioinformatics In vs Bioinformatics Analyst?

AspectBioinformatics InBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare, biotech companies
Employer & Industry UsageUsed in research, development, and clinical settingsFocuses on data analysis, interpretation, and reporting

Bioinformatics In and Bioinformatics Analyst roles share similar educational backgrounds and work environments. However, Bioinformatics In often involves more research and development tasks, while Bioinformatics Analysts primarily focus on analyzing and interpreting biological data to support research and clinical decisions.

What are the key skills and qualifications needed to thrive as a Bioinformatics Intern, and why are they important?

To thrive as a Bioinformatics Intern, you need a foundation in biology and computer science, often supported by coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, and experience with bioinformatics tools such as BLAST, Galaxy, or Next-Generation Sequencing (NGS) analysis platforms are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and collaborate with research teams. These skills are crucial for accurate data analysis, meaningful scientific contributions, and successful teamwork in fast-evolving research environments.

What are bioinformatics scientists?

Bioinformatics scientists are professionals who use computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They work at the intersection of biology, computer science, and mathematics to support research in areas like genomics, drug discovery, and personalized medicine. Their work often involves developing algorithms, managing large datasets, and creating software to facilitate biological research.

How does a Bioinformatics professional typically collaborate with researchers and laboratory scientists on projects?

Bioinformatics professionals often work closely with researchers and laboratory scientists to interpret complex biological data, such as sequencing results or gene expression profiles. Collaboration involves understanding the scientific goals, designing computational analyses, and translating data into meaningful insights. Regular meetings, clear communication, and iterative feedback are common, ensuring that computational work aligns with experimental needs. This teamwork helps bridge the gap between raw data and actionable scientific discoveries.
Bioinformatics In jobs near you
Senior Data Scientist, Bioinformatics

Senior Data Scientist, Bioinformatics

Precigen, Inc

Germantown, MD • On-site

$85K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

GENERAL DESCRIPTION:

We are seeking a proficient Senior Data Scientist within Precigen’s Bioinformatics team who will be responsible for sequence data analysis, statistical analysis, and data mining. This individual will maintain and develop analysis pipelines, run data analyses, visualize results and communicate them to lab scientists and principal investigators. Extensive experience with DNA and RNA sequencing analysis and strong knowledge of statistical methods, coupled with a solid understanding of foundational biological principles, will be required. You will join a transnational team working at the intersection of biology, data science, and software development.

DUTIES AND RESPONSIBILITIES:

  • Perform computational analysis of DNA and RNA sequences.
  • Perform statistical analyses on experimental data from molecular and cell biology, immunology and oncology.
  • Mine clinical data with machine learning methods.
  • Perform computational analysis of protein sequence data.
  • Visualize and communicate analysis results to biologists.
  • Contribute to scientific writing.


EDUCATION AND EXPERIENCE:

  • PhD, MS, or equivalent experience in molecular biology, biochemistry, computational biology, bioinformatics or a related discipline.
  • Five or more years of experience with computational DNA analysis (insertion analysis, variant analysis), bulk and single cell RNA analysis, expression analysis, and pathway analysis.
  • Familiarity with bioinformatics concepts and standard tools for sequence data handling, sequence alignment, and differential expression analysis.
  • Good knowledge of statistics.
  • Familiarity with the Unix/Linux command line.
  • Strong programming skills in R and Perl.
  • Extensive experience with data analysis and visualization.
  • Knowledge of and experience with machine learning concepts and methods.
  • Experience with protein sequence analysis from mass spectrometry data.
  • Familiarity with AI-based tools is appreciated.

DESIRED KEY COMPETENCIES:

  • Capable of adapting to rapidly changing and developing requirements.
  • The candidate can engage effectively with scientists to understand the design, rationale, and scientific context of lab experiments, ensuring that data analyses align with experimental goals.
  • They can clearly communicate the methods, reasoning, results, and interpretations of their analyses within the Bioinformatics team and across research groups.
  • Ready to seek, accept, and provide feedback and advice from and to team colleagues and management.
  • Communicates issues and problems openly and early.
  • Exhibits high performance both independently and in a team setting.
  • Delivers work on schedule and within agreed timeframes.
  • Is comfortable with communicating predominantly via electronic means.
  • Effectively conveys information in a clear, structured manner.
  • Can interact proficiently in an international and culturally diverse environment where not everyone is a native speaker of English.
  • Sufficient language skills in German to discuss professional matters are a plus.


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