Senior Bioinformatics Scientist

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 clients 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: Bachelors/Masters degree with

68 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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