Computational Scientist II
Computational Scientist II
Posted on :
28-06-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
28-06-2025
Job Description
General information
Location
Burlington MA
Ref #
42491
Job Family
Research
Workplace
On-Site
Date published
24-Jun-2025
Time Type
Full time
Description & Requirements
The Translational Analysis Group (TAG) at the Broad Institute of MIT and Harvard led by Dr. Mark Fleharty is seeking a Computational Scientist II with extensive experience building and maintaining NGS pipelines. In this full-time on-site role you will design and implement next-generation workflows for liquid biopsy assays in pediatric oncology. Youll collaborate with biologists clinicians data scientists and software engineers to translate novel scientific insights into production-ready computational tools. TAGs mission is to move liquid biopsy from proof-of-concept to clinically validated assays for sensitive cancer detection and monitoring in children.
Responsibilities
As a Computational Scientist II you will:
- Lead the design implementation and continuous improvement of robust reproducible pipelines for analysis of liquid biopsy NGS dataencompassing sample QC alignment error correction variant calling annotation and results delivery.
- Develop and validate novel algorithms for ultra-sensitive detection of somatic variants rare event calling and multi-modal biomarker integration.
- Drive performance benchmarking and analytical validation using both synthetic and clinical datasets; partner with wet lab and clinical teams to refine pipeline inputs and outputs.
- Collaborate closely with software engineers to ensure scalable production-ready workflows and with wet lab scientists to ensure computational methods fit experimental realities.
- Champion best practices in version control code review automated testing and documentation (e.g. GitHub containerization CI/CD pipelines)
- Mentor and advise junior computational team members; foster a culture of knowledge sharing curiosity and continual learning.
- Present findings and methods to internal and external stakeholders contribute to publications grants and regulatory submissions.
- Remain at the forefront of new technologies and methods in the liquid biopsy and bioinformatics space actively shaping our analytical strategy and scientific vision.
Qualifications
- PhD in Bioinformatics Computational Biology Computer Science Engineering or related quantitative discipline.
- Proven expertise developing optimizing and maintaining advanced bioinformatics pipelines for NGS data preferably in liquid biopsy minimal residual disease or somatic variant detection contexts.
- Mastery of at least two programming languages including one higher-level language such as Python or R and one lower-level language such as C or Rust for data analysis and pipeline development; experience with workflow orchestration tools (e.g. Nextflow Cromwell) and cloud or distributed computing environments.
- Deep understanding of molecular biology underlying liquid biopsy technologiescfDNA/ctDNA biology error suppression and the statistical and technical nuances of ultra-low-frequency variant detection.
- Demonstrated experience benchmarking analytical methods using gold-standard truth sets and orthogonal validation and familiarity with clinical assay validation requirements (e.g. CLIA CAP frameworks)
- Excellence in scientific communicationclear actionable reporting documentation and team-wide dissemination of best practices.
- Strong track record of cross-functional teamwork mentoring and capacity-building in computational teams.
- Self-motivated adaptable detail-oriented; able to manage multiple priorities in a fast-evolving environment.
- Commitment to scientific rigor reproducibility and open collaborative problem-solving.
Employment Type
Full Time
Key Skills
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