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Senior Bioinformatics Scientist Jobs (NOW HIRING)

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ...

Dana-Farber Cancer Institute

We are currently seeking an experienced bioinformatics scientist, preferably with a background in hematology and/or oncology, who will, in close collaboration with the SVP of Experimental Medicine ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ...

Vivo HealthStaff

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client Vivo HealthStaff ...

Vivo HealthStaff

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client Vivo HealthStaff ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San Francisco, CA Job Type: Full-time ( Hybrid ) Equity: Highly Competitive Equity About Our Client ...

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Senior Bioinformatics Scientist information

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$101.4K

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How much do senior bioinformatics scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for senior bioinformatics scientist in the United States is $101,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Senior Bioinformatics Scientist on a day-to-day basis?

Senior Bioinformatics Scientists typically design and implement analytical workflows to process large-scale biological datasets, such as genomic or transcriptomic data. They frequently collaborate with laboratory scientists and research teams to interpret results and guide experimental design. Additional responsibilities often include developing custom software tools, publishing research findings, mentoring junior team members, and staying updated on emerging technologies in the field. This combination of tasks ensures both the quality of analyses and the continuous innovation within research projects.

What are the key skills and qualifications needed to thrive in the Senior Bioinformatics Scientist position, and why are they important?

To thrive as a Senior Bioinformatics Scientist, you need expertise in computational biology, data analysis, and molecular biology, typically with an advanced degree such as a PhD in bioinformatics, computational biology, or a related field. Familiarity with programming languages (such as Python, R), bioinformatics pipelines, databases, and experience with high-performance computing environments is crucial. Strong problem-solving skills, effective communication, and the ability to lead cross-disciplinary teams are key soft skills in this role. These abilities ensure accurate data interpretation, successful project collaboration, and advancement of scientific research initiatives.

What does a Senior Bioinformatics Scientist do?

A Senior Bioinformatics Scientist analyzes complex biological data using computational tools and algorithms, often focusing on genomics, proteomics, or transcriptomics. They design and implement bioinformatics pipelines, develop software solutions, and collaborate with biologists to interpret results. Their role includes managing large datasets, optimizing data processing workflows, and contributing to scientific publications. Additionally, they may mentor junior scientists and lead research projects to advance biological discoveries.

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Senior Bioinformatics Scientist jobs near you
Infographic showing various Senior Bioinformatics Scientist job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 2% Internship, 8% As Needed, 74% Full Time, 12% Part Time, and 2% Summer. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,443 per year, or $48.8 per hour.
Senior Bioinformatics Scientist

Senior Bioinformatics Scientist

CEDENT

South San Francisco, CA

Full-time

Posted 18 days ago

Job description

We are seeking a highly motivated and innovative Senior/Staff Bioinformatics Scientist to join our R&D team focused on synthetic biology product development. In this role, you will work at the intersection of computational and molecular biology, developing advanced DNA sequence analysis pipelines, gene design algorithms, and predictive models to optimize DNA synthesis and assembly.
You will collaborate with molecular biologists, product teams, and manufacturing engineers to refine client’s core synthetic biology platform, troubleshoot assembly challenges, and improve DNA synthesis efficiency. This position emphasizes predictive modeling, algorithm development, and data-driven approaches to enhance synthetic biology workflows.
Key Responsibilities
Synthetic Biology & DNA Assembly
  • Develop bioinformatics methods supporting DNA assembly strategies and synthetic biology workflows.
  • Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize synthesis parameters.
  • Collaborate with wet-lab scientists to analyze and troubleshoot molecular biology processes.
  • Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly issues.
NGS Pipeline Development & Data Science
  • Build and maintain NGS analysis pipelines (e.g., Nextflow) to support quality control and performance tracking of synthetic biology products.
  • Leverage Oxford Nanopore Technologies (ONT), Illumina, or PacBio sequencing to analyze and optimize synthesis workflows.
  • Develop predictive models to identify challenging sequences and recommend optimizations to improve synthesis efficiency.
  • Ensure pipeline accuracy, reproducibility, and scalability in research environments.
Data Analysis & Insights
  • Apply advanced statistical and machine learning methods to evaluate improvements in synthetic biology product iterations.
  • Use Python, R, and visualization tools to generate actionable insights and present findings to stakeholders.
  • Design and implement novel bioinformatics algorithms for sequence analysis and synthetic biology applications.
Cross-Functional Collaboration
  • Partner with R&D, manufacturing, and product development teams to troubleshoot assay issues and implement data-driven solutions.
  • Support the broader Bioinformatics team by integrating synthetic biology workflows with existing genomic data processing pipelines.
  • Assist with customer-facing analyses related to synthetic biology assay performance.
Required Qualifications
  • Educational Background & Experience:
  • Bachelor’s/Master’s degree with 6–8 years of industry experience, or a Ph.D. with 3+ years of industry experience in Bioinformatics, Molecular Biology, Biochemistry, Genetics, Genomics, Computational Biology, or a related field.
  • Bioinformatics & NGS Expertise:
  • Experience with ONT, Illumina, or PacBio sequencing technologies.
  • Proficiency in workflow management tools (Nextflow, Snakemake).
  • Hands-on experience designing predictive models for sequence design & synthetic biology applications.
  • Technical Skills:
  • Expertise in Python (Pandas, NumPy, SciPy) and visualization libraries (Matplotlib, Seaborn, Plotly).
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) applied to biological sequence data.
  • Familiarity with R, SQL, or other statistical tools.
  • Molecular Biology & Synthetic Biology Knowledge:
  • Understanding of DNA assembly, cloning techniques, and molecular biology workflows.
  • Ability to interpret experimental data and provide feedback on laboratory procedures.
Preferred Qualifications
  • Experience developing design algorithms for synthetic biology applications.
  • Familiarity with deep learning approaches for biological sequence analysis.
  • Exposure to high-throughput experimental design and laboratory automation.
  • Hands-on experience with gene synthesis and synthetic biology assay development.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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