Senior Scientist, Bioinformatics
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
The Senior Scientist Bioinformatics will contribute to the design development and maintenance of computational pipelines algorithms databases and infrastructure supporting assay development and genomic analysis. This role focuses on building and updating automated workflows that implement algorithms for qPCR applications. The successful candidate will collaborate closely with bioinformatics scientists software engineers and molecular biologists to ensure seamless integration of computational methods with experimental workflows.
Primary Responsibilities
Develop maintain and optimize bioinformatics pipelines and workflow automation for large-scale assay development.
Build and support Python-based tools C/C algorithms and SQL databases used in assay design and data analysis.
Perform and optimize sequence data analysis workflows for variant detection indel identification and alignment using tools like ClustalW BLAST BWA or comparable methods.
Collaborate with internal teams to align pipeline outputs with laboratory processes and data systems.
Maintain version-controlled repositories documentation and reproducibility across computational workflows.
Participate in the publication or productization of developed algorithms pipelines or tools.
Required Qualifications
PhD in Bioinformatics Computational Biology Computer Science or a related field with 3 years of relevant experience or MS with 5 years of relevant experience.
Validated experience in bioinformatics pipeline development and workflow automation using Python and Linux environments. Experience developing or maintaining bioinformatics tools or algorithms that have been published or released as software products.
Strong programming skills in C/C and scripting for algorithm optimization.
Hands-on experience with relational databases (PostgreSQL MySQL or equivalent) including schema design query optimization and data integration.
Proven understanding of genomics data analysis including sequence alignment indel calling and variant annotation.
Familiarity with biological databases (NCBI COSMIC UCSC Genome Browser etc.).
Proficiency with statistical and data science libraries (NumPy SciPy Pandas scikit-learn etc.).
Excellent problem-solving and debugging skills with attention to scalability and reproducibility.
Ability to collaborate optimally in a multi-disciplinary distributed work environment.
Background in assay development or computational biology applications.
Preferred Qualifications
Confirmed expertise in Nextflow Snakemake WDL or similar workflow management systems.
Familiarity with containerization (Docker Singularity) and CI/CD practices for pipeline deployment.
Implement and handle cloud-based infrastructure (AWS preferred) to support scalable and reproducible computational workflows.
Experience deploying and maintaining computational workflows on cloud infrastructure (AWS or similar).
Experience optimizing workflows for high-performance computing (HPC) or cloud-native architectures.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race color religion sex sexual orientation gender identity national origin protected veteran status disability or any other legally protected status.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
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