1

Manager Variant Scientist Jobs in Washington (NOW HIRING)

With experts in biomedical science, software engineering, and program management, we focus on ... Provide bioinformatics support to include somatic and germline variant calling and analysis, single ...

With experts in biomedical science, software engineering, and program management, we focus on ... Provide bioinformatics support to include somatic and germline variant calling and analysis, single ...

With experts in biomedical science, software engineering, and program management, we focus on ... Provide bioinformatics support to include somatic and germline variant calling and analysis, single ...

next page

Showing results 1-20

Manager Variant Scientist information

What are the key skills and qualifications needed to thrive as a Manager Variant Scientist, and why are they important?

To excel as a Manager Variant Scientist, you need a strong background in genetics, molecular biology, and bioinformatics, often supported by a PhD and relevant laboratory experience. Familiarity with genomic analysis tools, next-generation sequencing (NGS) platforms, and variant interpretation databases is typically required. Leadership, effective communication, and project management skills help in guiding teams and collaborating with cross-functional stakeholders. These competencies are vital for ensuring accurate variant analysis, driving scientific advancements, and successfully managing complex research projects.

What are some common challenges faced by a Manager Variant Scientist when leading a genomics team?

A Manager Variant Scientist often encounters challenges such as balancing hands-on scientific analysis with leadership responsibilities, ensuring data accuracy and compliance with regulatory standards, and managing cross-functional communication between laboratory staff, bioinformaticians, and clinicians. Additionally, keeping up with rapid advancements in sequencing technologies and variant interpretation guidelines can be demanding. Effective managers foster a collaborative environment, provide mentorship, and prioritize continuous learning to overcome these challenges and maintain high-quality results.

What is a Manager Variant Scientist?

A Manager Variant Scientist is a professional who leads a team responsible for analyzing genetic variants, often within clinical or research laboratories. They oversee the interpretation of genomic data to identify mutations or variations relevant to patient care, disease research, or drug development. In addition to hands-on scientific analysis, they manage workflows, ensure data quality, and coordinate collaboration between scientists, clinicians, and other stakeholders. This role typically requires expertise in genetics, molecular biology, bioinformatics, and strong leadership skills.

What is the difference between Manager Variant Scientist vs Variant Scientist?

AspectManager Variant ScientistVariant Scientist
CredentialsBachelor's or Master's in Life Sciences, Biotech, or related fields; often with leadership experienceBachelor's or Master's in Life Sciences, Biotech, or related fields
Work EnvironmentLeads teams in R&D or manufacturing settings, overseeing variant developmentPerforms laboratory research, data analysis, and variant testing
Employer & Industry UsagePharmaceutical, biotech, or biotech manufacturing companiesResearch institutions, biotech firms, pharmaceutical companies

The main difference is that a Manager Variant Scientist oversees teams and projects, focusing on leadership and strategic planning, while a Variant Scientist primarily conducts laboratory research and data analysis. Both roles require similar technical credentials, but the managerial position adds responsibilities related to team management and project coordination.

What cities in Washington are hiring for Manager Variant Scientist jobs? Cities in Washington with the most Manager Variant Scientist job openings:
Senior Data Scientist, Bioinformatics

Senior Data Scientist, Bioinformatics

Precigen, Inc

Germantown, MD • On-site

$85K - $120K/yr

Full-time

Posted 25 days ago


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.


EOE MFDV