FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing next-generation sequencing data and developing scalable genomic analysis workflows. Proficient in statistical modeling and collaboration across multidisciplinary research teams.
Highest-signal resume keywords
Master's Degree Or PhD In Computational BiologyProgramming Skills In Python And/or RExperience Analyzing NGS Or Large-Scale Genomic DatasetsWorkflow Management Systems Experience (Nextflow, Snakemake, CWL, WDL)Proficiency With Git/GitHub And Container Technologies (Docker, Apptainer/Singularity)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Next-Generation Sequencing Data AnalysisStatistical ModelingPredictive ModelingScalable Computational Solutions DevelopmentStatistical Analysis
Soft Skills
Independent Problem-SolvingScientific CommunicationCollaboration Across Multidisciplinary TeamsProject ManagementScientific Rigor
Tools & Technologies
LinuxHPCCloud EnvironmentsGit/GitHubDockerApptainerSingularity
Industry Keywords
Computational BiologyBioinformaticsGenomic DatasetsClinical Outcomes DataEmerging Technologies
Tech Stack
Tools & technologiesCloudDockerLinuxPython
About the role
Key responsibilities & impact- Analyze and interpret next-generation sequencing data from MSK-ACCESS, CMO-CH, and related assays
- Lead computational analyses of ctDNA, clonal hematopoiesis, treatment response, and clinical outcomes data
- Develop, automate, and maintain scalable, reproducible genomic analysis workflows
- Build statistical and predictive models integrating genomic and clinical datasets
- Collaborate with investigators across computational, laboratory, and clinical research teams
- Contribute to manuscripts, grants, presentations, and translational research initiatives
Requirements
What you’ll need- Master's degree with relevant experience or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related field
- Strong programming skills in Python and/or R
- Experience analyzing NGS or large-scale genomic datasets
- Experience with workflow management systems such as Nextflow, Snakemake, CWL, or WDL
- Experience working in Linux, HPC, and/or cloud environments
- Proficiency with Git/GitHub and container technologies such as Docker or Apptainer/Singularity
- Strong statistical analysis and scientific communication skills
- Independent problem-solving and scientific rigor
- Experience developing scalable and reproducible computational solutions
- Strong collaboration and communication skills across multidisciplinary teams
- Ability to manage multiple research projects in a fast-paced environment
- Interest in leveraging emerging technologies, including AI-assisted tools, to enhance research productivity